, org. eclipse. paho. client. mqttv3. MqttMessage ; 5 import org. eclipse. rdf4j. model. Model

, 6 import com. grovepi. mqtt. connection. MqttPublisher

, 7 import com. grovepi. physical. sensors. jgrove. grove Button Sensor ; 8 import com. grovepi. semantic. enrichment. SemanticSensor ; 9 import grovepi

, extends Thread { 12 public static void main ( String [] args ) throws Exception { 13 gro veButt onSens or button = new grov eButt onSens or

S. Buttonsensor and =. Semanticsensor, ButtonSensor

. Buttonsensor,

. Mqttpublisher, ButtonClient-Pub " )

, app. runClient (

. Buttonsensor,

, Model result = ButtonSensor. getSensorOutput (

, String resultat = result. toString (

, MqttMessage msg = new MqttMessage ( res. toString (). getBytes (

, wardrobeOpened

, Thread. sleep, 1000.

J. Mineraud, O. Mazhelis, X. Su, and S. Tarkoma, A gap analysis of internet-of-things platforms, Computer Communications, vol.89, pp.5-16, 2016.

I. Lee and K. Lee, The Internet of Things (IoT): Applications investments, and challenges for enterprises, Business Horizons, vol.58, issue.4, pp.431-440, 2015.

H. Rolf, R. Weber, and . Weber, Internet of things, vol.12, 2010.

M. Kranz, Building the Internet of Things: Implement New Business Models, Disrupt Competitors, Transform Your Industry, 2016.

. Iuliana-chiuchisan, O. Hariton-nicolae-costin, and . Geman, Adopting the internet of things technologies in health care systems, 2014 International Conference and Exposition on, pp.532-535, 2014.

H. Beard and D. E. Bloom, Towards a comprehensive public health response to population ageing, Lancet, vol.385, issue.9968, p.658, 2015.

P. Rashidi and A. Mihailidis, A survey on ambient-assisted living tools for older adults, IEEE journal of biomedical and health informatics, vol.17, issue.3, pp.579-590, 2013.

. Garner, Gartner says the Internet of Things will transform the data center, 2014.

C. Doukas and I. Maglogiannis, Bringing iot and cloud computing towards pervasive healthcare, Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), pp.922-926, 2012.

E. Balandina, S. Balandin, Y. Koucheryavy, and D. Mouromtsev, IoT Use Cases in Healthcare and Tourism, 2015 IEEE 17th Conference on Business Informatics. Institute of Electrical & Electronics Engineers, 2015.

N. Noury, T. Hervé, V. Rialle, G. Virone, E. Mercier et al., Monitoring behavior in home using a smart fall sensor and position sensors, Microtechnologies in Medicine and Biology, 1st Annual International, Conference On, pp.607-610, 2000.

A. Fleury, M. Vacher, and N. Noury, Svm-based multimodal classification of activities of daily living in health smart homes: sensors, algorithms, and first experimental results, IEEE transactions on information technology in biomedicine, vol.14, issue.2, pp.274-283, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00465076

N. Noury, A. Fleury, P. Rumeau, . Ak-bourke, V. Go-laighin et al., Fall detection-principles and methods, EMBS 2007. 29th Annual International Conference of the IEEE, pp.1663-1666, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00201202

A. Gluhak, S. Krco, M. Nati, D. Pfisterer, N. Mitton et al., A survey on facilities for experimental internet of things research, IEEE Communications Magazine, vol.49, issue.11, 2011.
URL : https://hal.archives-ouvertes.fr/inria-00630092

S. Bandyopadhyay, M. Sengupta, S. Maiti, and S. Dutta, Role of middleware for internet of things: A study, International Journal of Computer Science and Engineering Survey, vol.2, issue.3, pp.94-105, 2011.

S. Hanke, C. Mayer, O. Hoeftberger, H. Boos, R. Wichert et al., universAAL-An Open and Consolidated AAL Platform, Ambient Assisted Living, pp.127-140, 2011.

C. Lohr, P. Tanguy, and J. Kerdreux, xAAL: A Distributed Infrastructure for Heterogeneous Ambient Devices, Journal of Intelligent Systems, vol.24, issue.3, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01187869

N. Alaya, M. Sadok-ben-yahia, and . Lamolle, Towards unveiling the ontology key features altering reasoner performances, 2015.

J. Kim and J. Lee, OpenIoT: An open service framework for the Internet of Things, IEEE World Forum on Internet of Things, 2014.

M. Compton, P. Barnaghi, L. Bermudez, R. García-castro, O. Corcho et al., Alexandre Passant, Amit Sheth, and Kerry Taylor. The SSN ontology of the W3C semantic sensor network incubator group, Web Semantics: Science Services and Agents on the World Wide Web, vol.17, pp.25-32, 2012.

D. Gregor, . Toral, F. Ariza, R. Barrero, J. Gregor et al., A methodology for structured ontology construction applied to intelligent transportation systems, Computer Standards & Interfaces, vol.47, pp.108-119, 2016.

T. Wu, L. M. Schriml, Q. Chen, M. Colbert, J. Daniel et al., Generating a focused view of disease ontology cancer terms for pan-cancer data integration and analysis, Database, 2015.

R. Helaoui, D. Riboni, and H. Stuckenschmidt, A probabilistic ontological framework for the recognition of multilevel human activities, Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing, pp.345-354, 2013.

J. Byung-mun-lee and . Ouyang, Intelligent healthcare service by using collaborations between IoT personal health devices, vol.10, p.11, 2014.

D. Miorandi, S. Sicari, F. D. Pellegrini, and I. Chlamtac, Internet of things: Vision applications and research challenges, Ad Hoc Networks, vol.10, issue.7, pp.1497-1516, 2012.

M. Elkhodr, S. Shahrestani, and H. Cheung, The internet of things: new interoperability, management and security challenges, 2016.

S. Haller, S. Karnouskos, and C. Schroth, The internet of things in an enterprise context, Future Internet Symposium, pp.14-28, 2008.

D. Singh, G. Tripathi, and A. J. Jara, A survey of Internet-ofThings: Future vision architecture, challenges and services, IEEE World Forum on Internet of Things (WF-IoT). Institute of Electrical & Electronics Engineers, 2014.
DOI : 10.1109/wf-iot.2014.6803174

S. Vishwakarma and A. Agrawal, A survey on activity recognition and behavior understanding in video surveillance, The Visual Computer, vol.29, issue.10, pp.983-1009, 2013.
DOI : 10.1007/s00371-012-0752-6

J. M. Chaquet, E. J. Carmona, and A. Fernández-caballero, A survey of video datasets for human action and activity recognition, Computer Vision and Image Understanding, vol.117, issue.6, pp.633-659, 2013.
DOI : 10.1016/j.cviu.2013.01.013

S. Vishwakarma and A. Agrawal, A survey on activity recognition and behavior understanding in video surveillance, The Visual Computer, vol.29, issue.10, pp.983-1009, 2012.
DOI : 10.1007/s00371-012-0752-6

R. Poppe, A survey on vision-based human action recognition, Image and Vision Computing, vol.28, issue.6, pp.976-990, 2010.
DOI : 10.1016/j.imavis.2009.11.014

L. Onofri, P. Soda, M. Pechenizkiy, and G. Iannello, A survey on using domain and contextual knowledge for human activity recognition in video streams, Expert Systems with Applications, vol.63, pp.97-111, 2016.
DOI : 10.1016/j.eswa.2016.06.011

L. Wang, Recognition of Human Activities Using Continuous Autoencoders with Wearable Sensors, Sensors, vol.16, issue.2, p.189, 2016.
DOI : 10.3390/s16020189

URL : http://www.mdpi.com/1424-8220/16/2/189/pdf

A. Moschetti, L. Fiorini, D. Esposito, P. Dario, and F. Cavallo, Recognition of Daily Gestures with Wearable Inertial Rings and Bracelets, Sensors, vol.16, issue.8, p.1341, 2016.
DOI : 10.3390/s16081341

URL : https://www.mdpi.com/1424-8220/16/8/1341/pdf

O. D. Lara and M. A. Labrador, A Survey on Human Activity Recognition using Wearable Sensors, IEEE Communications Surveys & Tutorials, vol.15, issue.3, pp.1192-1209, 2013.
DOI : 10.1109/surv.2012.110112.00192

URL : http://www.cse.usf.edu/files/69521327941111Survey.pdf

A. Avci, S. Bosch, M. Marin-perianu, R. Marin-perianu, and P. Havinga, Activity recognition using inertial sensing for healthcare, wellbeing and sports applications: A survey, Architecture of computing systems (ARCS), 2010 23rd international conference on, pp.1-10, 2010.

M. Shoaib, S. Bosch, O. Incel, H. Scholten, and P. Havinga, A Survey of Online Activity Recognition Using Mobile Phones, Sensors, vol.15, issue.1, pp.2059-2085, 2015.
DOI : 10.3390/s150102059

URL : http://www.mdpi.com/1424-8220/15/1/2059/pdf

F. Soldovieri and G. Gennarelli, Exploitation of Ubiquitous Wi-Fi Devices as Building Blocks for Improvised Motion Detection Systems, Sensors, vol.16, issue.3, p.307, 2016.
DOI : 10.3390/s16030307

URL : https://www.mdpi.com/1424-8220/16/3/307/pdf

B. Chen, Z. Fan, and F. Cao, Activity Recognition Based on Streaming Sensor Data for Assisted Living in Smart Homes, 2015 International Conference on Intelligent Environments, 2015.
DOI : 10.1109/ie.2015.25

C. Narayanan, D. J. Krishnan, and . Cook, Activity recognition on streaming sensor data, Pervasive and Mobile Computing, vol.10, pp.138-154, 2014.

M. Shoaib, S. Bosch, O. Incel, H. Scholten, and P. Havinga, Complex Human Activity Recognition Using Smartphone and WristWorn Motion Sensors, Sensors, vol.16, issue.4, p.426, 2016.
DOI : 10.3390/s16040426

URL : https://www.mdpi.com/1424-8220/16/4/426/pdf

Z. Li, Z. Wei, L. Huang, S. Zhang, and J. Nie, Hierarchical Activity Recognition Using Smart Watches and RGB-Depth Cameras, Sensors, vol.16, issue.10, p.1713, 2016.
DOI : 10.3390/s16101713

URL : https://www.mdpi.com/1424-8220/16/10/1713/pdf

S. Amendola, R. Lodato, S. Manzari, C. Occhiuzzi, and G. Marrocco, Rfid technology for iot-based personal healthcare in smart spaces, IEEE Internet of Things Journal, vol.1, issue.2, pp.144-152, 2014.
DOI : 10.1109/jiot.2014.2313981

N. Saito, Ecological home network: An overview, Proceedings of the IEEE, vol.101, issue.11, pp.2428-2435, 2013.
DOI : 10.1109/jproc.2013.2277782

URL : https://doi.org/10.1109/jproc.2013.2277782

Z. Wang and X. Xu, Smart home m2m networks architecture, Mobile Ad-hoc and Sensor Networks (MSN), pp.294-299, 2013.
DOI : 10.1109/msn.2013.24

R. Yao-lin-zhu, X. Li, X. Liu, and . Jian, Wireless communication technology in family health monitoring system, Business Management and Electronic Information (BMEI), 2011 International Conference on, vol.3, pp.64-67, 2011.

Y. Park and H. Cho, Transmission of ecg data with the patch-type ecg sensor system using bluetooth low energy, ICT Convergence (ICTC), 2013 International Conference on, pp.289-294, 2013.

M. Bor, J. E. Vidler, and U. Roedig, Lora for the internet of things, 2016.

H. Alemdar and C. Ersoy, Wireless sensor networks for healthcare: A survey, Computer Networks, vol.54, issue.15, pp.2688-2710, 2010.

I. Plaza, L. Martín, S. Martin, and C. Medrano, Mobile applications in an aging society: Status and trends, Journal of Systems and Software, vol.84, issue.11, pp.1977-1988, 2011.
DOI : 10.1016/j.jss.2011.05.035

D. Mari-carmen, An overview of the internet of things for people with disabilities, Journal of Network and Computer Applications, vol.35, issue.2, pp.584-596, 2012.

A. María-josé-morón, . Gómez-jaime, E. Luque, and . Casilari, Development and evaluation of a python telecare system based on a bluetooth body area network, EURASIP Journal on Wireless Communications and Networking, vol.2011, issue.1, p.629526, 2011.

M. Hassanalieragh, A. Page, T. Soyata, G. Sharma, M. Aktas et al., Health monitoring and management using internet-of-things (iot) sensing with cloud-based processing: Opportunities and challenges, IEEE International Conference on, pp.285-292, 2015.
DOI : 10.1109/scc.2015.47

URL : http://www.ece.rochester.edu/%7Egsharma/papers/Moeen_HealthMonitor_SCC2015.pdf

G. López, V. Custodio, and J. Moreno, Lobin: E-textile and wireless-sensor-network-based platform for healthcare monitoring in future hospital environments, IEEE Transactions on Information Technology in Biomedicine, vol.14, issue.6, pp.1446-1458, 2010.

S. Hanke, C. Mayer, O. Hoeftberger, H. Boos, R. Wichert et al., universAALan open and consolidated AAL platform, Ambient assisted living, pp.127-140, 2011.
DOI : 10.1007/978-3-642-18167-2_10

A. Sixsmith, S. Meuller, F. Lull, M. Klein, I. Bierhoff et al., SOPRANO-an ambient assisted living system for supporting older people at home, International Conference on Smart Homes and Health Telematics, pp.233-236, 2009.
DOI : 10.4017/gt.2009.

W. Majid-a-al-taee, A. Al-nuaimy, . Al-ataby, J. Zahra, . Muhsin et al., Mobile health platform for diabetes management based on the internet-ofthings, Applied Electrical Engineering and Computing Technologies (AEECT), 2015 IEEE Jordan Conference on, pp.1-5, 2015.

A. Dohr, R. Modre-opsrian, M. Drobics, D. Hayn, and G. Schreier, The internet of things for ambient assisted living, Information technology: new generations (ITNG), 2010 seventh international conference on, pp.804-809, 2010.
DOI : 10.1109/itng.2010.104

K. Maged and N. Boulos, On the internet of things, smart cities and the who healthy cities, International journal of health geographics, vol.13, issue.1, p.10, 2014.

T. Kleinberger, M. Becker, E. Ras, A. Holzinger, and P. Müller, Ambient intelligence in assisted living: enable elderly people to handle future interfaces, International Conference on Universal Access in HumanComputer Interaction, pp.103-112, 2007.
DOI : 10.1007/978-3-540-73281-5_11

M. Amoretti, S. Copelli, F. Wientapper, F. Furfari, S. Lenzi et al., Sensor data fusion for activity monitoring in the persona ambient assisted living project, Journal of Ambient Intelligence and Humanized Computing, vol.4, issue.1, pp.67-84, 2013.
DOI : 10.1007/s12652-011-0095-6

M. Memon, S. R. Wagner, C. Fischer-pedersen, F. Hassan-aysha, F. Beevi et al., Ambient assisted living healthcare frameworks, platforms, standards, and quality attributes, Sensors, vol.14, issue.3, pp.4312-4341, 2014.
DOI : 10.3390/s140304312

URL : http://www.mdpi.com/1424-8220/14/3/4312/pdf

M. Wagner, B. Kuch, C. Cabrera, P. Enoksson, and A. Sieber, Android based body area network for the evaluation of medical parameters, Intelligent Solutions in Embedded Systems (WISES), 2012 Proceedings of the Tenth Workshop on, pp.33-38, 2012.

V. Jones, A. Van-halteren, N. Dokovsky, G. Koprinkov, J. Peuscher et al., Mobihealth: mobile services for health professionals, M-Health, pp.237-246, 2006.
DOI : 10.1007/0-387-26559-7_17

URL : https://ris.utwente.nl/ws/files/5109325/00000185.pdf

Y. Liu and G. Zhou, Key technologies and applications of internet of things, Intelligent Computation Technology and Automation (ICICTA, p.2012

, Fifth International Conference on, pp.197-200, 2012.

J. Ye, S. Dobson, and S. Mckeever, Situation identification techniques in pervasive computing: A review, Pervasive and Mobile Computing, vol.8, issue.1, pp.36-66, 2012.
DOI : 10.1016/j.pmcj.2011.01.004

G. Mermoud, J. Vasseur, and S. Dasgupta, Hidden markov model based architecture to monitor network node activities and predict relevant periods, p.648, 2013.

J. F. Peter, L. C. Lucas, A. Van-der-gaag, and . Abu-hanna, Bayesian networks in biomedicine and health-care. Artificial intelligence in medicine, vol.30, pp.201-214, 2004.

G. Meditskos, S. Dasiopoulou, and I. Kompatsiaris, MetaQ: A knowledge-driven framework for context-aware activity recognition combining SPARQL and OWL 2 activity patterns, Pervasive and Mobile Computing, vol.25, pp.104-124, 2016.

L. Chen, C. D. Nugent, and H. Wang, A Knowledge-Driven Approach to Activity Recognition in Smart Homes, IEEE Transactions on Knowledge and Data Engineering, vol.24, issue.6, pp.961-974, 2012.

L. Chen, C. Nugent, and G. Okeyo, An Ontology-Based Hybrid Approach to Activity Modeling for Smart Homes, IEEE Transactions on HumanMachine Systems, vol.44, issue.1, pp.92-105, 2014.
DOI : 10.1109/thms.2013.2293714

URL : https://www.dora.dmu.ac.uk/bitstream/2086/13644/1/THMS-13-02-0015-R3.pdf

D. Riboni and C. Bettini, OWL 2 modeling and reasoning with complex human activities, Pervasive and Mobile Computing, vol.7, issue.3, pp.379-395, 2011.
DOI : 10.1016/j.pmcj.2011.02.001

URL : https://air.unimi.it/retrieve/handle/2434/164552/542338/OWL2-PMC-postprint.pdf

E. Prud and A. Seaborne, Sparql query language for rdf, 2006.

J. Calbimonte, H. Jeung, O. Corcho, and K. Aberer, Semantic sensor data search in a large-scale federated sensor network, Proceedings of the 4th International Conference on Semantic Sensor Networks, vol.839, pp.23-38, 2011.

D. Miorandi, S. Sicari, F. D. Pellegrini, and I. Chlamtac, Internet of things: Vision, applications and research challenges, Ad Hoc Networks, vol.10, issue.7, pp.1497-1516, 2012.

L. Atzori, A. Iera, and G. Morabito, The internet of things: A survey, Computer networks, vol.54, issue.15, pp.2787-2805, 2010.

A. Moumena, N. Chaqfeh, and . Mohamed, Challenges in middleware solutions for the internet of things, 2012 International Conference on Collaboration Technologies and Systems (CTS), 2012.

M. Mohammad-abdur-razzaque, A. Milojevic-jevric, S. Palade, and . Clarke, Middleware for Internet of Things: A Survey, IEEE Internet of Things Journal, vol.3, issue.1, pp.70-95, 2016.

J. Radhika and . Malarvizhi, Middleware approaches for wireless sensor networks: An overview, International Journal of Computer Science Issues (IJCSI), vol.9, issue.3, pp.224-229, 2012.

J. Vaskar-raychoudhury, M. Cao, D. Kumar, and . Zhang, Middleware for pervasive computing: A survey, Pervasive and Mobile Computing, vol.9, issue.2, pp.177-200, 2013.

H. Alex, M. Kumar, and B. Shirazi, Midfusion: An adaptive middleware for information fusion in sensor network applications. Information Fusion, vol.9, pp.332-343, 2008.
DOI : 10.1016/j.inffus.2005.05.007

C. Markus, J. A. Huebscher, and . Mccann, Adaptive middleware for contextaware applications in smart-homes, Proceedings of the 2nd workshop on Middleware for pervasive and ad-hoc computing, pp.111-116, 2004.

A. L. Wendi-b-heinzelman, . Murphy, S. Hervaldo, M. A. Carvalho, and . Perillo, Middleware to support sensor network applications, IEEE network, vol.18, issue.1, pp.6-14, 2004.

M. Mamei and F. Zambonelli, Field-based coordination for pervasive multiagent systems, 2006.

T. Liu and M. Martonosi, Impala: A middleware system for managing autonomic, parallel sensor systems, ACM SIGPLAN Notices, vol.38, pp.107-118, 2003.

P. Kang, C. Borcea, G. Xu, A. Saxena, U. Kremer et al., Smart messages: A distributed computing platform for networks of embedded systems, The Computer Journal, vol.47, issue.4, pp.475-494, 2004.

C. Fok, G. Roman, and C. Lu, Agilla: A mobile agent middleware for self-adaptive wireless sensor networks, ACM Transactions on Autonomous and Adaptive Systems (TAAS), vol.4, issue.3, p.16, 2009.

J. Igor-l-marques, N. Ronan, and . Rosa, Tinyreef: a registerbased virtual machine for wireless sensor networks, Sensors, pp.1423-1426, 2009.

K. Hong, J. Park, S. Kim, T. Kim, H. Kim et al., Tinyvm: an energy-efficient execution infrastructure for sensor networks, Software: Practice and Experience, vol.42, issue.10, pp.1193-1209, 2012.
DOI : 10.1002/spe.1123

URL : http://elc.yonsei.ac.kr/TinyVM_TR.pdf

L. Mottola, A. L. Murphy, and G. P. Picco, Pervasive games in a mote-enabled virtual world using tuple space middleware, Proceedings of 5th ACM SIGCOMM workshop on Network and system support for games, p.29, 2006.

C. Curino, M. Giani, M. Giorgetta, A. Giusti, A. L. Murphy et al., Tinylime: Bridging mobile and sensor networks through middleware, Pervasive Computing and Communications, pp.61-72, 2005.
DOI : 10.1109/percom.2005.48

URL : http://dit.unitn.it/~picco/papers/percom05.pdf

P. Costa, L. Mottola, A. L. Murphy, and G. P. Picco, Teenylime: transiently shared tuple space middleware for wireless sensor networks, Proceedings of the international workshop on Middleware for sensor networks, pp.43-48, 2006.
DOI : 10.1007/978-3-540-89707-1_11

URL : http://dit.unitn.it/~picco/papers/minema_book.pdf

K. Aberer, M. Hauswirth, and A. Salehi, A middleware for fast and flexible sensor network deployment, Proceedings of the 32nd international conference on Very large data bases, pp.1199-1202, 2006.

D. Guinard, V. Trifa, S. Karnouskos, P. Spiess, and D. Savio, Interacting with the soa-based internet of things: Discovery, query, selection, and on-demand provisioning of web services, IEEE transactions on Services Computing, vol.3, issue.3, pp.223-235, 2010.

C. Flávia, P. F. Delicato, T. Pires, and . Batista, Middleware solutions for the Internet of Things, 2013.

N. Mohamed and J. , Service-oriented middleware approaches for wireless sensor networks, 44th Hawaii International Conference on, pp.1-9, 2011.
DOI : 10.1109/hicss.2011.374

P. Evensen and H. Meling, Sensewrap: A service oriented middleware with sensor virtualization and self-configuration, Intelligent Sensors, Sensor Networks and Information Processing, pp.261-266, 2009.
DOI : 10.1109/issnip.2009.5416827

E. Avilés, -. , and J. , Tinysoa: a service-oriented architecture for wireless sensor networks, Service Oriented Computing and Applications, vol.3, issue.2, pp.99-108, 2009.

E. Gaetano-f-anastasi, A. Bini, G. Romano, and . Lipari, A service-oriented architecture for qos configuration and management of wireless sensor networks, Emerging Technologies and Factory Automation (ETFA), 2010 IEEE Conference on, pp.1-8, 2010.

C. Perera, P. Prakash-jayaraman, A. Zaslavsky, D. Georgakopoulos, and P. Christen, Mosden: An internet of things middleware for resource constrained mobile devices, 47th Hawaii International Conference on, pp.1053-1062, 2014.

N. Zhu, T. Diethe, M. Camplani, L. Tao, A. Burrows et al., Bridging e-health and the internet of things: The sphere project, IEEE Intelligent Systems, vol.30, issue.4, pp.39-46, 2015.

M. Janse, P. Vink, and N. Georgantas, Amigo architecture: Service oriented architecture for intelligent future in-home networks, European Conference on Ambient Intelligence, pp.371-378, 2007.
DOI : 10.1007/978-3-540-85379-4_41

E. Ehsan-ullah-warriach, A. Kaldeli, M. Lazovik, and . Aiello, An interplatform service-oriented middleware for the smart home, International Journal of Smart Home, vol.7, issue.1, pp.115-141, 2013.

A. Osello, A. Acquaviva, C. Aghemo, L. Blaso, D. Dalmasso et al., Energy saving in existing buildings by an intelligent use of interoperable icts, Energy efficiency, vol.6, issue.4, pp.707-723, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00985275

M. C. Alberto, J. Souza, and . Amazonas, A novel smart home application using an internet of things middleware, Smart Objects, Systems and Technologies (SmartSysTech), Proceedings of 2013 European Conference on, pp.1-7, 2013.

M. Bazzani, D. Conzon, A. Scalera, A. Maurizio, C. I. Spirito et al., Enabling the iot paradigm in e-health solutions through the virtus middleware, Trust, Security and Privacy in Computing and Communications (TrustCom), pp.1954-1959, 2012.
DOI : 10.1109/trustcom.2012.144

H. Mohammad-mehedi-hassan, H. Saad-albakr, and . Al-dossari, A cloud-assisted internet of things framework for pervasive healthcare in smart city environment, Proceedings of the 1st International Workshop on Emerging Multimedia Applications and Services for Smart Cities, pp.9-13, 2014.

J. Juan-m-corchado, D. I. Bajo, A. Tapia, and . Abraham, Using heterogeneous wireless sensor networks in a telemonitoring system for healthcare, IEEE transactions on information technology in biomedicine, vol.14, issue.2, pp.234-240, 2010.

. Andreas-k-triantafyllidis, G. Vassilis, I. Koutkias, N. Chouvarda, and . Maglaveras, A pervasive health system integrating patient monitoring, status logging, and social sharing, IEEE journal of biomedical and health informatics, vol.17, issue.1, pp.30-37, 2013.

S. Junnila, H. Kailanto, J. Merilahti, A. Vainio, A. Vehkaoja et al., Wireless, multipurpose in-home health monitoring platform: two case trials, IEEE Transactions on Information Technology in Biomedicine, vol.14, issue.2, pp.447-455, 2010.
DOI : 10.1109/titb.2009.2037615

F. Palumbo, P. Barsocchi, F. Furfari, and E. Ferro, Aal middleware infrastructure for green bed activity monitoring, Journal of Sensors, 2013.
DOI : 10.1155/2013/510126

URL : http://downloads.hindawi.com/journals/js/2013/510126.pdf

G. Rajesh-kannan-megalingam, V. Pocklassery, G. Jayakrishnan, A. Mourya, and . Thulasi, Smartphone based continuous monitoring system for home-bound elders and patients, Communications and Signal Processing, pp.1173-1177, 2014.

A. Coronato, Uranus: A middleware architecture for dependable aal and vital signs monitoring applications, Sensors, vol.12, issue.3, pp.3145-3161, 2012.
DOI : 10.3390/s120303145

URL : https://www.mdpi.com/1424-8220/12/3/3145/pdf

C. Seeger, K. Van-laerhoven, and A. Buchmann, Myhealthassistant: An event-driven middleware for multiple medical applications on a smartphone-mediated body sensor network, IEEE journal of biomedical and health informatics, vol.19, issue.2, pp.752-760, 2015.
DOI : 10.1109/jbhi.2014.2326604

A. Borgy-waluyo, S. Ying, I. Pek, and J. Wu, Middleware for wireless medical body area network, Biomedical Circuits and Systems Conference, pp.183-186, 2007.

M. Ivan, J. Delamer, and . Lastra, Service-oriented architecture for distributed publish/subscribe middleware in electronics production, IEEE Transactions on Industrial Informatics, vol.2, issue.4, pp.281-294, 2006.

B. Benatallah and H. M. Nezhad, Service oriented architecture: Overview and directions, Advances in Software Engineering, pp.116-130, 2008.
DOI : 10.1007/978-3-540-89762-0_4

URL : http://www.cse.unsw.edu.au/~hamidm/publication/Lipari-Chapter08.pdf

E. Miluzzo, K. Nicholas-d-lane, R. Fodor, H. Peterson, M. Lu et al., Sensing meets mobile social networks: the design, implementation and evaluation of the cenceme application, Proceedings of the 6th ACM conference on Embedded network sensor systems, pp.337-350, 2008.

N. Brouwers and K. Langendoen, Pogo, a middleware for mobile phone sensing, Proceedings of the 13th International Middleware Conference, pp.21-40, 2012.
DOI : 10.1007/978-3-642-35170-9_2

URL : https://hal.archives-ouvertes.fr/hal-01555543

, The pachube feed cloud service

, Internet of things-thingspeak service

D. Guinard, V. Trifa, F. Mattern, and E. Wilde, From the internet of things to the web of things: Resource-oriented architecture and best practices, pp.97-129, 2011.

D. Guinard and V. Trifa, Towards the web of things: Web mashups for embedded devices, Workshop on Mashups, Enterprise Mashups and Lightweight Composition on the Web (MEM 2009), in proceedings of WWW (International World Wide Web Conferences), vol.15, 2009.

D. Pfisterer, K. Romer, D. Bimschas, O. Kleine, R. Mietz et al., Spitfire: toward a semantic web of things, IEEE Communications Magazine, vol.49, issue.11, pp.40-48, 2011.

P. Desai, A. Sheth, and P. Anantharam, Semantic gateway as a service architecture for iot interoperability, Mobile Services (MS), 2015 IEEE International Conference on, pp.313-319, 2015.

M. Botts, Ogc implementation specification 07-000: Opengis sensor model language (sensorml)-open geospatial consortium, 2007.

C. Schlenoff, T. Hong, C. Liu, R. Eastman, and S. Foufou, A literature review of sensor ontologies for manufacturing applications, 2013 IEEE International Symposium on, pp.96-101, 2013.

S. Alam, M. R. Mohammad, J. Chowdhury, and . Noll, Senaas: An eventdriven sensor virtualization approach for internet of things cloud, Networked Embedded Systems for Enterprise Applications (NESEA), 2010 IEEE International Conference on, pp.1-6, 2010.

R. Bendadouche, C. Roussey, G. D. Sousa, J. Chanet, and . Hou, Etat de l'art sur les ontologies de capteurs pour une intégration intelligente des données, pp.89-104, 2012.

M. Botts, G. Percivall, C. Reed, and J. Davidson, Ogc® sensor web enablement: Overview and high level architecture. GeoSensor networks, pp.175-190, 2008.

M. Compton, C. Henson, L. Lefort, H. Neuhaus, and A. Sheth, A survey of the semantic specification of sensors, Proceedings of the 2nd International Conference on Semantic Sensor Networks, vol.522, pp.17-32, 2009.

R. Bendadouche, D. Roussey, J. Sousa, K. Chanet, K. Hou et al., Extension of the Semantic Sensor Network Ontology for Wireless Sensor Networks : The Stimulus-WSNnode-Communication Pattern, 5th International Workshop on Semantic Sensor Networks in conjunction with the 11th International Semantic Web Conference (ISWC), 2012.
URL : https://hal.archives-ouvertes.fr/hal-00819301

S. Avancha, C. Patel, and A. Joshi, Ontology-driven adaptive sensor networks, MobiQuitous, vol.4, pp.194-202, 2004.

. David-j-russomanno, R. Cartik, . Kothari, . Omoju, and . Thomas, Building a sensor ontology: A practical approach leveraging iso and ogc models, pp.637-643, 2005.

J. Christopher, D. Matheus, . Tribble, M. Mieczyslaw, . Kokar et al., Towards a formal pedigree ontology for level-one sensor fusion, VERSATILE INFORMATION SYSTEMS INC FRAMINGHAM MA, 2006.

J. Kim, H. Kwon, . Do-hyeun, H. Kim, S. Kwak et al., Building a service-oriented ontology for wireless sensor networks, ICIS 08. Seventh IEEE/ACIS International Conference on, pp.649-654, 2008.

M. Eid, R. Liscano, and A. E. Saddik, A universal ontology for sensor networks data, Computational Intelligence for Measurement Systems and Applications, pp.59-62, 2007.

M. Calder, A. Robert, F. Morris, and . Peri, Machine reasoning about anomalous sensor data, Ecological Informatics, vol.5, issue.1, pp.9-18, 2008.

J. Kenneth, J. Witt, D. Stanley, D. Smithbauer, V. Mandl et al., Enabling sensor webs by utilizing swamo for autonomous operations, 8th NASA Earth Science Technology Conference, pp.263-270, 2008.

A. Herzog, D. Jacobi, and A. Buchmann, A3me-an agent-based middleware approach for mixed mode environments, Mobile Ubiquitous Computing, Systems, Services and Technologies, 2008. UBICOMM'08. The Second International Conference on, pp.191-196, 2008.

M. Gomez, A. Preece, M. Johnson, G. De-mel, W. Vasconcelos et al., An ontology-centric approach to sensor-mission assignment. Knowledge Engineering: Practice and Patterns, pp.347-363, 2008.

L. Bermudez, E. Delory, O. Tom, J. Reilly, . Del-rio et al., Ocean observing systems demystified, OCEANS 2009, MTS/IEEE Biloxi-Marine Technology for Our Future: Global and Local Challenges, pp.1-7, 2009.

C. Rueda, L. Bermudez, and J. Fredericks, The mmi ontology registry and repository: A portal for marine metadata interoperability, OCEANS 2009, MTS/IEEE Biloxi-Marine Technology for Our Future: Global and Local Challenges, pp.1-6, 2009.

H. Neuhaus and M. Compton, The semantic sensor network ontology, AGILE workshop on challenges in geospatial data harmonisation, pp.1-33, 2009.

A. Ibrahim, F. Carrez, and K. Moessner, Spatio-temporal model for role assignment in wireless sensor networks, Proceedings of the 2013 19th European, pp.1-6, 2013.

Y. Benazzouz and I. Parissis, A fault fuzzy-ontology for large scale fault-tolerant wireless sensor networks, Procedia Computer Science, vol.35, pp.203-212, 2014.
DOI : 10.1016/j.procs.2014.08.100

URL : https://hal.archives-ouvertes.fr/hal-01063798

F. Roda and E. Musulin, An ontology-based framework to support intelligent data analysis of sensor measurements, Expert Systems with Applications, vol.41, issue.17, pp.7914-7926, 2014.
DOI : 10.1016/j.eswa.2014.06.033

N. Seydoux, K. Drira, N. Hernandez, and T. Monteil, Iot-o, a core-domain iot ontology to represent connected devices networks, Knowledge Engineering and Knowledge Management: 20th International Conference, vol.20, pp.561-576, 2016.
DOI : 10.1007/978-3-319-49004-5_36

URL : https://hal.archives-ouvertes.fr/hal-01467853

S. De, P. Barnaghi, M. Bauer, and S. Meissner, Service modelling for the internet of things, Computer Science and Information Systems (FedCSIS), 2011 Federated Conference on, pp.949-955, 2011.

T. Fan and Y. Chen, A scheme of data management in the internet of things, Network Infrastructure and Digital Content, pp.110-114, 2010.

C. Lohr, P. Tanguy, and J. Kerdreux, xaal: A distributed infrastructure for heterogeneous ambient devices, Journal of intelligent systems, vol.24, issue.3, pp.321-331, 2015.
DOI : 10.1515/jisys-2014-0144

URL : https://hal.archives-ouvertes.fr/hal-01187869

X. Su, H. Zhang, J. Riekki, A. Keränen, L. Jukka-k-nurminen et al., Connecting iot sensors to knowledge-based systems by transforming senml to rdf, Procedia Computer Science, vol.32, pp.215-222, 2014.
DOI : 10.1016/j.procs.2014.05.417

URL : https://doi.org/10.1016/j.procs.2014.05.417

A. Gyrard, C. Bonnet, and K. Boudaoud, Enrich machine-tomachine data with semantic web technologies for cross-domain applications, Internet of Things (WF-IoT), pp.559-564, 2014.
DOI : 10.1109/wf-iot.2014.6803229

A. Gyrard, K. Soumya, C. Datta, K. Bonnet, and . Boudaoud, Standardizing generic cross-domain applications in internet of things, Globecom Workshops (GC Wkshps), pp.589-594, 2014.
DOI : 10.1109/glocomw.2014.7063496

URL : https://hal.archives-ouvertes.fr/hal-01343229

A. Hayder-i-hendi, M. Ahmad, C. Bouneffa, and . Fonlupt, Ontology based reasoning for solving passenger train optimization problem, Multidisciplinary in IT and Communication Science and Applications, pp.1-6, 2016.

H. S. Pedro, L. F. Duarte, . Faina, J. Lasaro, L. B. Camargos et al., An architecture for monitoring and improving public transportation systems, Advanced Information Networking and Applications (AINA), pp.871-878, 2016.

H. Scott, Energy ontologies: Wind, biomass, and fossil transportation, Humanities, vol.5, issue.2, p.37, 2016.
DOI : 10.3390/h5020037

URL : http://www.mdpi.com/2076-0787/5/2/37/pdf

C. Jonquet, A. Toulet, E. Arnaud, S. Aubin, E. D. Yeumo et al., Agroportal: an open repository of ontologies and vocabularies for agriculture and nutrition data, GODAN Summit, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01398252

, Ontology-based query expansion for supporting information retrieval in agriculture, The 8th International Conference on Knowledge Management in Organizations, pp.299-311, 2014.

S. Hu, H. Wang, C. She, and J. Wang, Agont: ontology for agriculture internet of things, International Conference on Computer and Computing Technologies in Agriculture, pp.131-137, 2010.
URL : https://hal.archives-ouvertes.fr/hal-01559546

C. Warren-a-kibbe, V. Arze, E. Felix, E. Mitraka, G. Bolton et al., Disease ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data, Nucleic acids research, p.1011, 2014.

K. Donnelly, Snomed-ct: The advanced terminology and coding system for ehealth, Studies in health technology and informatics, vol.121, p.279, 2006.

N. Lasierra, . Alesanco, J. Guillén, and . García, A three stage ontologydriven solution to provide personalized care to chronic patients at home, Journal of biomedical informatics, vol.46, issue.3, pp.516-529, 2013.

J. Cantais, D. Dominguez, V. Gigante, L. Laera, and V. Tamma, An example of food ontology for diabetes control, Proceedings of the International Semantic Web Conference 2005 workshop on Ontology Patterns for the Semantic Web, pp.1-9, 2005.

J. Kim, J. Kim, D. Lee, and K. Chung, Ontology driven interactive healthcare with wearable sensors. Multimedia Tools and Applications, vol.71, pp.827-841, 2014.

P. Brandt, T. Basten, S. Stuiik, V. Bui, P. De-clercq et al., Semantic interoperability in sensor applications making sense of sensor data, Computational Intelligence in Healthcare and e-health (CICARE), 2013 IEEE Symposium on, pp.34-41, 2013.

S. Kolozali, M. Bermudez-edo, D. Puschmann, F. Ganz, and P. Barnaghi, A knowledge-based approach for real-time iot data stream annotation and processing, Internet of Things (iThings), 2014 IEEE International Conference on, and Green Computing and Communications (GreenCom), IEEE and Cyber, pp.215-222, 2014.

K. Janowicz and M. Compton, The stimulus-sensor-observation ontology design pattern and its integration into the semantic sensor network ontology, Proceedings of the 3rd International Conference on Semantic Sensor Networks, vol.668, pp.64-78, 2010.

C. Alexander, The timeless way of building, vol.1, 1979.

A. Gangemi, Ontology design patterns for semantic web content, International semantic web conference, pp.262-276, 2005.

M. C. Suárez-figueroa, A. Gómez-pérez, and M. Fernandezlopez, The neon methodology framework: a scenario-based methodology for ontology development, Applied ontology, vol.10, issue.2, pp.107-145, 2015.

A. De, N. , and M. Missikoff, A lightweight methodology for rapid ontology engineering, Communications of the ACM, vol.59, issue.3, pp.79-86, 2016.

H. Sundmaeker, P. Guillemin, P. Friess, and S. Woelfflé, Vision and challenges for realising the internet of things, Cluster of European Research Projects on the Internet of Things, 2010.

P. Wang and Q. Liu, Biomedical Sensors and Measurement, 2011.

, European Commission under the 7th Framework Programme, iCore. D3.1: Virtual object requirements and dependencies, 2012.

M. Nitti, V. Pilloni, G. Colistra, and L. Atzori, The virtual object as a major element of the internet of things: a survey, IEEE Communications Surveys & Tutorials, vol.18, issue.2, pp.1228-1240, 2016.

K. Römer, T. Schoch, F. Mattern, and T. Dübendorfer, Smart identification frameworks for ubiquitous computing applications, Wireless Networks, vol.10, pp.689-700, 2004.

W. Ryan, . Thomas, H. Daniel, . Friend, A. Luiz et al., Cognitive networks: adaptation and learning to achieve end-to-end performance objectives, IEEE Communications Magazine, vol.44, issue.12, pp.51-57, 2006.

Q. Mahmoud, Cognitive networks: towards self-aware networks, 2007.

E. Wollenberg, D. Edmunds, and L. Buck, Using scenarios to make decisions about the future: anticipatory learning for the adaptive co-management of community forests, Landscape and urban planning, vol.47, issue.1, pp.65-77, 2000.

A. Somov, C. Dupont, and R. Giaffreda, Supporting smart-city mobility with cognitive internet of things, Future Network and Mobile Summit (FutureNetworkSummit), pp.1-10, 2013.

H. Green, -. , and W. Iot, Cognitive iot: Making the internet of things deliver for all of us, 2015.

. Fadi-m-al-turjman, Information-centric sensor networks for cognitive iot: an overview, Annals of Telecommunications, pp.1-16, 2016.

K. Siorpaes and M. Hepp, myontology: The marriage of ontology engineering and collective intelligence, vol.2, pp.127-138, 2007.

G. John and . Webster, Prevention of pressure sores: engineering and clinical aspects, 1991.

R. Leandro, A. Solis, . Liggins, R. E. Richard, N. Uwiera et al., Distribution of internal pressure around bony prominences: implications to deep tissue injury and effectiveness of intermittent electrical stimulation, Annals of biomedical engineering, vol.40, issue.8, pp.1740-1759, 2012.

P. Kittipanya, -. , and F. Way, Bed Detection for Monitoring System in Hospital Wards, Engineering in Medicine and Biology Society

, Annual International Conference of the IEEE, pp.5887-5890, 2012.

K. S. Jaichandar and E. García, Intelli-sense bed patient movement sensing and anti-sweating system for bed sore prevention in a clinical environment, Information, Communications and Signal Processing (ICICS) 2011 8th International Conference on, pp.1-5, 2011.

S. Mei-che-pang and T. Wong, Predicting pressure sore risk with the Norton, Braden, and Waterlow scales in a Hong Kong rehabilitation hospital, Nursing Research, vol.47, issue.3, pp.147-153, 1998.

D. Norton, Calculating the risk. reflections on the norton scale, Advances in Skin & Wound Care, vol.2, issue.3, pp.24-31, 1989.

J. Waterlow, Pressure sores: a risk assessment card, Nursing times, vol.81, issue.48, pp.49-55, 1984.

N. Bergstrom, J. Barbara, A. Braden, V. Laguzza, and . Holman, The braden scale for predicting pressure sore risk, Nursing research, vol.36, issue.4, pp.205-210, 1987.

Z. Song, R. Alvaro-a-cárdenas, and . Masuoka, Semantic middleware for the internet of things, Internet of Things (IOT), pp.1-8, 2010.

P. Wolf, A. Schmidt, J. P. Otte, and M. Klein, Sebastian Rollwage, and year=2010 Birgitta König-Ries and Torsten Dettborn and Aygul Gabdulkhakova. openaal-the open source middleware for ambient-assisted living (aal)

V. Tsiatsis, A. Gluhak, T. Bauge, F. Montagut, J. Bernat et al., The sensei real world internet architecture, 2010.

P. Kostelnik, M. Sarnovsk, and K. Furdik, The semantic middleware for networked embedded systems applied in the internet of things and services domain, Scalable Computing: Practice and Experience, vol.12, issue.3, pp.307-316, 2011.

M. Caporuscio, P. Raverdy, and V. Issarny, ubisoap: A service-oriented middleware for ubiquitous networking, IEEE Transactions on Services Computing, vol.5, issue.1, pp.86-98, 2012.
URL : https://hal.archives-ouvertes.fr/inria-00519577

I. Corredor, F. José, M. S. Martínez, L. Familiar, and . López, Knowledge-aware and service-oriented middleware for deploying pervasive services, Journal of Network and Computer Applications, vol.35, issue.2, pp.562-576, 2012.

A. Ben-hamida, F. Kon, N. Lago, and A. Zarras, Dionysis Athanasopoulos, Dimitris Pilios, Panos Vassiliadis, Nikolaos Georgantas, Valérie Issarny, Georgios Mathioudakis, et al. Integrated choreos middleware-enabling large-scale, qos-aware adaptive choreographies, 2013.

J. Rodríguez-molina, J. Martínez, P. Castillejo, R. De, and D. , SMArc: a proposal for a smart, semantic middleware architecture focused on Smart City energy management, International Journal of Distributed Sensor Networks, 2013.

M. Ben-alaya, Y. Banouar, T. Monteil, C. Chassot, and K. Drira, OM2M: Extensible ETSI-compliant M2M Service Platform with Self-configuration Capability, Procedia Computer Science, vol.32, pp.1079-1086, 2014.

G. Nain, EnTiMid: Un modèle de composants pour intégrer des objets communicants dans des applications à base de services, 2011.

A. Kalil, . Bispo, P. Nelson-s-rosa, and . Cunha, Sitrus: Semantic infrastructure for wireless sensor networks, Sensors, vol.15, issue.11, pp.27436-27469, 2015.

J. Mineraud, O. Mazhelis, X. Su, and S. Tarkoma, Contemporary internet of things platforms, 2015.

O. Mazhelis and P. Tyrvainen, A framework for evaluating internet-ofthings platforms: Application provider viewpoint, Internet of Things (WF-IoT), pp.147-152, 2014.

J. Luis-pérez, Á. Villalba, D. Carrera, I. Larizgoitia, and V. Trifa, The compose api for the internet of things, Proceedings of the 23rd International Conference on World Wide Web, pp.971-976, 2014.

R. Berta-carballido-villaverde, . De-paz, A. J. Alberola, S. Jara, . Fedor et al., Service discovery protocols for constrained machine-to-machine communications, IEEE Communications Surveys and Tutorials, vol.16, issue.1, pp.41-60, 2014.

M. Villari, A. Celesti, M. Fazio, and A. Puliafito, Alljoyn lambda: An architecture for the management of smart environments in iot, Smart Computing Workshops (SMARTCOMP Workshops, pp.9-14, 2014.

T. Jyothi, Open Source Middleware for Internet of Things, International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering, vol.4, issue.11, pp.71-75, 2016.

J. , L. Pérez, and D. Carrera, Performance characterization of the servioticy api: an iot-as-a-service data management platform, Big Data Computing Service and Applications (BigDataService), pp.62-71, 2015.

, Perdix iot platform

, Amazon aws

T. Catarci, C. D. Ciccio, V. Forte, E. Iacomussi, M. Mecella et al., Service composition and advanced user interfaces in the home of tomorrow: The sm4all approach, International Conference on Ambient Media and Systems, pp.12-19, 2011.

. Maddy-d-janse, , pp.1-42, 2008.

M. Presser, M. Payam, M. Barnaghi, C. Eurich, and . Villalonga, The sensei project: Integrating the physical world with the digital world of the network of the future, IEEE Communications Magazine, vol.47, issue.4, pp.1-4, 2009.

V. Shirley and R. Pamidi, Web of things

A. Larab, E. Conchon, R. Bastide, and N. Singer, A sustainable software architecture for home care monitoring applications, Digital Ecosystems Technologies (DEST), pp.1-6, 2012.

A. Dunkels, B. Gronvall, and T. Voigt, Contiki-a lightweight and flexible operating system for tiny networked sensors, 29th Annual IEEE International Conference on, pp.455-462, 2004.

P. Levis, S. Madden, J. Polastre, R. Szewczyk, K. Whitehouse et al., Tinyos: An operating system for sensor networks, Ambient intelligence, vol.35, pp.115-148, 2005.

Q. Cao, T. Abdelzaher, J. Stankovic, and T. He, The liteos operating system: Towards unix-like abstractions for wireless sensor networks, Information Processing in Sensor Networks, 2008. IPSN'08. International Conference On, pp.233-244, 2008.

E. Baccelli, O. Hahm, M. Gunes, M. Wahlisch, and T. Schmidt, Riot os: Towards an os for the internet of things, Computer Communications Workshops (INFOCOM WKSHPS), 2013 IEEE Conference on, pp.79-80, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00945122

O. Vermesan, P. Friess, P. Guillemin, H. Sundmaeker, M. Eisenhauer et al., Internet of things strategic research and innovation agenda, RIVER PUBLISHERS SERIES IN COMMUNICATIONS, p.7, 2013.

D. Locke, Mqtt v3. 1 protocol specification, International Business Machines Corporation (IBM) and Eurotech, p.42, 2010.

W. Colitti, K. Steenhaut, N. D. Caro, B. Buta, and V. Dobrota, Rest enabled wireless sensor networks for seamless integration with web applications, Mobile Adhoc and Sensor Systems (MASS), pp.867-872, 2011.

P. Peniak and M. Franekova, Open communication protocols for integration of embedded systems within industry 4, Applied Electronics (AE), 2015 International Conference on, pp.181-184, 2015.

C. Bormann, K. Shelby, and . Hartke, Constrained application protocol (coap), 2013.

P. Saint-andre, Extensible messaging and presence protocol (xmpp): Core, 2011.

, Advanced Open Standard for the Information Society (OASIS), 2012.

H. K. Pung, T. Gu, W. Xue, P. Paulito, J. Palmes et al., Context-aware middleware for pervasive elderly homecare, IEEE Journal on Selected Areas in Communications, vol.27, issue.4, 2009.

Y. James, Y. Xu, M. Wang, B. Barrett, G. J. Dobkin et al., Personalized multilayer daily life profiling through context enabled activity classification and motion reconstruction: An integrated system approach, IEEE journal of biomedical and health informatics, vol.20, issue.1, pp.177-188, 2016.

A. Gaggioli, G. Pioggia, G. Tartarisco, G. Baldus, D. Corda et al., A mobile data collection platform for mental health research. Personal and Ubiquitous Computing, vol.17, pp.241-251, 2013.

T. Naqishbandi, S. Sheriff, and . Qazi, Big data, cep and iot: redefining holistic healthcare information systems and analytics, Int J Eng Res and Technol, vol.4, issue.1, pp.1-6, 2015.

C. Yu-chen, J. H. Fu, P. Wang, E. Jou, and M. Feng, Complex event processing for the internet of things and its applications, 2014 IEEE International Conference on, pp.1144-1149, 2014.

H. Shang-nan-yin, Z. Kang, S. Chen, and . Kim, Intrusion detection system based on complex event processing in rfid middleware, Proceedings of the International Conference on Research in Adaptive and Convergent Systems, pp.125-129, 2016.

R. Alur, E. Berger, A. W. Drobnis, L. Fix, K. Fu et al., Systems computing challenges in the internet of things, 2016.

M. Stusek, J. Hosek, D. Kovac, P. Masek, P. Cika et al., Performance analysis of the osgi-based iot frameworks on restricted devices as enablers for connected-home, Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), pp.178-183, 2015.