. Mpp-maximum-power and . Point,

, MTBF Mean Time Between Failures

, MTTF Mean Time To Failure

, NiMH Nickel-Metal Hybrid

, NMOS N-type Metal-Oxide-Semiconductor

. Os-operating and . System,

&. P&o-perturb and . Observe,

, PCB Printed Circuit Board

, PMIC Power Management Integrated Component

, PMOS P-type Metal-Oxide-Semiconductor

R. Vullers, R. Schaijk, H. Visser, J. Penders, and C. Hoof, Energy Harvesting for Autonomous Wireless Sensor Networks, IEEE Solid-State Circuits Magazine, vol.2, issue.2, pp.29-38, 2010.

G. Inc, Gartner says 8.4 billion connected "things" will be in use in 2017, 2016.

A. Golberg, H. D. Rabinowitch, and B. Rubinsky, Zn/Cu-vegetative batteries, bioelectrical characterizations, and primary cost analyses, AIP Journal of Renewable and Sustainable Energy, vol.2, p.33103, 2010.

L. Catacuzzeno, F. Orfei, A. Di-michele, L. Sforna, F. Franciolini et al., Energy harvesting from a bio cell, pp.2018-2028

M. Younis, M. Youssef, and K. Arisha, Energy-aware routing in cluster-based sensor networks, IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunications Systems, pp.129-136, 2002.

T. N. Le, A. Pegatoquet, O. Berder, and O. Sentieys, Energy-Efficient Power Manager and MAC Protocol for Multi-Hop Wireless Sensor Networks Powered by Periodic Energy Harvesting Sources, IEEE Sensors Journal, vol.15, pp.7208-7220, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01197045

P. Lee, M. Han, H. Tan, and A. Valera, An empirical study of harvestingaware duty cycling in environmentally-powered wireless sensor networks, IEEE International Conference on Communication Systems, pp.306-310, 2010.

P. Gleonec, J. Ardouin, M. Gautier, and O. Berder, Architecture exploration of multi-source energy harvester for IoT nodes, IEEE Online Conference on Green Communications (OnlineGreenComm), pp.27-32, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01400418

P. Gleonec, J. Ardouin, M. Gautier, and O. Berder, A Real-World Evaluation of Energy Budget Estimation Algorithms for Autonomous Long Range IoT Nodes, IEEE International Conference on Telecommunications (ICT), pp.561-565, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01816578

, National Center for Photovoltaics (NCPV), pp.2018-2026

V. Raghunathan, A. Kansal, J. Hsu, J. Friedman, and M. Srivastava, Design considerations for solar energy harvesting wireless embedded systems, IEEE International Symposium on Information Processing in Sensor Networks (ISPN), pp.457-462, 2005.

F. Simjee and P. Chou, Efficient Charging of Supercapacitors for Extended Lifetime of Wireless Sensor Nodes, IEEE Transactions on Power Electronics, vol.23, pp.1526-1536, 2008.

S. Kim and P. H. Chou, Energy harvesting by sweeping voltage-escalated charging of a reconfigurable supercapacitor array, IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), pp.235-240, 2011.

M. A. Green, Y. Hishikawa, W. Warta, E. D. Dunlop, D. H. Levi et al., Solar cell efficiency tables (version 50), Wiley Journal of Progress in Photovoltaics: Research and Applications, vol.25, pp.668-676, 2017.

J. F. Randall and J. Jacot, The performance and modelling of 8 Photovoltaic materials under variable light intensity and spectra, World Renewable Energy Congress VII & Expo, 2002.

D. E. Carlson and C. R. Wronski, Amorphous silicon solar cell, AIP Applied Physics Letters, vol.28, pp.671-673, 1976.

M. A. Green, Thin-film solar cells: review of materials, technologies and commercial status, Springer Journal of Materials Science: Materials in Electronics, vol.18, pp.15-19, 2007.

R. Kamada, T. Yagioka, S. Adachi, A. Handa, K. F. Tai et al., )2 thin film solar cell efficiency beyond 22%, IEEE Photovoltaic Specialist Conference (PVSC), pp.1-5, 2017.

A. Infinitypv, InfinityPV -Organic solar cells, pp.2018-2026

X. Che, Y. Li, Y. Qu, and S. R. Forrest, High fabrication yield organic tandem photovoltaics combining vacuum-and solution-processed subcells with 15% efficiency, Nature Energy, vol.3, pp.422-427, 2018.

N. J. Guilar, T. J. Kleeburg, A. Chen, D. R. Yankelevich, and R. Amirtharajah, Integrated solar energy harvesting and storage, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol.17, issue.5, pp.627-637, 2009.

W. Rieutort-louis, L. Huang, Y. Hu, J. Sanz-robinson, S. Wagner et al., A Complete Fully Thin-Film PV Harvesting and Power-Management System on Plastic With On-Sheet Battery Management and Wireless Power Delivery to Off-sheet Loads, IEEE Journal of Photovoltaics, vol.4, pp.432-439, 2014.

S. Dalola, M. Ferrari, V. Ferrari, M. Guizzetti, D. Marioli et al., Characterization of Thermoelectric Modules for Powering Autonomous Sensors, IEEE Transactions on Instrumentation and Measurement, vol.58, pp.99-107, 2009.

M. Rossi, L. Rizzon, M. Fait, R. Passerone, and D. Brunelli, Energy Neutral Wireless Sensing for Server Farms Monitoring, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol.4, pp.324-334, 2014.

J. P. Carmo, L. M. Goncalves, and J. H. Correia, Thermoelectric microconverter for energy harvesting systems, IEEE Transactions on Industrial Electronics, vol.57, issue.3, pp.861-867, 2010.

S. Dalola, V. Ferrari, M. Guizzetti, D. Marioli, E. Sardini et al., Autonomous Sensor System With Power Harvesting for Telemetric Temperature Measurements of Pipes, IEEE Transactions on Instrumentation and Measurement, vol.58, pp.1471-1478, 2009.

A. Prijic, L. Vracar, D. Vuckovic, D. Milic, and Z. Prijic, Thermal Energy Harvesting Wireless Sensor Node in Aluminum Core PCB Technology, IEEE Sensors Journal, vol.15, pp.337-345, 2015.

P. C. Dias, F. J. Morais, M. B. De-morais-franca, E. C. Ferreira, A. Cabot et al., Autonomous Multisensor System Powered by a Solar Thermoelectric Energy Harvester With Ultralow-Power Management Circuit, IEEE Transactions on Instrumentation and Measurement, vol.64, pp.2918-2925, 2015.

Y. Kheng-tan and S. K. Panda, Optimized Wind Energy Harvesting System Using Resistance Emulator and Active Rectifier for Wireless Sensor Nodes, IEEE Transactions on Power Electronics, vol.26, pp.38-50, 2011.

D. Porcarelli, D. Brunelli, M. Magno, and L. Benini, A Multi-Harvester architecture with hybrid storage devices and smart capabilities for low power systems, IEEE International Symposium on Power Electronics Power Electronics, Electrical Drives, Automation and Motion, pp.946-951, 2012.

C. Park and P. Chou, AmbiMax: Autonomous Energy Harvesting Platform for Multi-Supply Wireless Sensor Nodes, IEEE Communications Society on Sensor and Ad Hoc Communications and Networks, vol.1, pp.168-177, 2006.

R. Morais, S. G. Matos, M. A. Fernandes, A. L. Valente, S. F. Soares et al., Sun, wind and water flow as energy supply for small stationary data acquisition platforms, vol.64, pp.120-132, 2008.

M. Weimer, T. Paing, and R. Zane, Remote area wind energy harvesting for low-power autonomous sensors, IEEE Power Electronics Specialists Conference, pp.1-5, 2006.

D. Porcarelli, D. Spenza, D. Brunelli, A. Cammarano, C. Petrioli et al., Adaptive Rectifier Driven by Power Intake Predictors for Wind Energy Harvesting Sensor Networks, IEEE Journal of Emerging and Selected Topics in Power Electronics, vol.3, pp.471-482, 2015.

. Enerbee, Generating energy from low speed and low force movements, pp.2018-2026

A. Sample, D. Yeager, P. Powledge, A. Mamishev, and J. Smith, Design of an RFID-Based Battery-Free Programmable Sensing Platform, IEEE Transactions on Instrumentation and Measurement, vol.57, pp.2608-2615, 2008.

D. De-donno, L. Catarinucci, and L. Tarricone, An UHF RFID EnergyHarvesting System Enhanced by a DC-DC Charge Pump in Silicon-onInsulator Technology, IEEE Microwave and Wireless Components Letters, vol.23, pp.315-317, 2013.

S. Mandal, L. Turicchia, and R. Sarpeshkar, A Low-Power, Battery-Free Tag for Body Sensor Networks, IEEE Pervasive Computing, vol.9, pp.71-77, 2010.

H. Reinisch, S. Gruber, H. Unterassinger, M. Wiessflecker, G. Hofer et al., An Electro-Magnetic Energy Harvesting System With 190 nW Idle Mode Power Consumption for a BAW Based Wireless Sensor Node, IEEE Journal of Solid-State Circuits, vol.46, pp.1728-1741, 2011.

T. Sogorb, J. Llario, J. Pelegri, R. Lajara, and J. Alberola, Studying the Feasibility of Energy Harvesting from Broadcast RF Station for WSN, IEEE Instrumentation and Measurement Technology Conference, pp.1360-1363, 2008.

S. Kim, R. Vyas, J. Bito, K. Niotaki, A. Collado et al., Ambient RF Energy-Harvesting Technologies for Self-Sustainable Standalone Wireless Sensor Platforms, Proceedings of the IEEE, vol.102, pp.1649-1666, 2014.

V. Gupta, A. Kandhalu, and R. R. Rajkumar, Energy harvesting from electromagnetic energy radiating from AC power lines, ACM Workshop on Hot Topics in Embedded Networked Sensors (HotEmNets), vol.17, pp.1-17, 2010.

R. Moghe, Y. Yang, F. Lambert, and D. Divan, A scoping study of electric and magnetic field energy harvesting for wireless sensor networks in power system applications, IEEE Energy Conversion Congress and Exposition, pp.3550-3557, 2009.

I. Ikeda and T. Hattori, US Patent 6496391 -Power supply unit utilizing a current transformer, 2002.

A. Market-intelligence, Market Report Extract -Global Piezoelectric Device Market, pp.2018-2026

W. Li, S. He, and S. Yu, Improving Power Density of a Cantilever Piezoelectric Power Harvester Through a Curved L-Shaped Proof Mass, IEEE Transactions on Industrial Electronics, vol.57, pp.868-876, 2010.

A. Khaligh, P. Zeng, X. Wu, and Y. Xu, A hybrid energy scavenging topology for human-powered mobile electronics, IEEE Conference of Industrial Electronics, pp.448-453, 2008.

T. Le, J. Han, A. Jouanne, K. Mayaram, and T. Fiez, Piezoelectric MicroPower Generation Interface Circuits, IEEE Journal of Solid-State Circuits, vol.41, pp.1411-1420, 2006.

H. Yu, Q. Yue, J. Zhou, and W. Wang, A Hybrid Indoor Ambient Light and Vibration Energy Harvester for Wireless Sensor Nodes, MDPI Sensors, vol.14, pp.8740-8755, 2014.

E. Gmbh, ECO 200 -Energy converter for motion energy harvesting, pp.2018-2026

J. Rocha, L. Goncalves, P. Rocha, M. Silva, and S. Lanceros-mendez, Energy Harvesting From Piezoelectric Materials Fully Integrated in Footwear, IEEE Transactions on Industrial Electronics, vol.57, pp.813-819, 2010.

N. Shenck and J. Paradiso, Energy scavenging with shoe-mounted piezoelectrics, IEEE Micro, vol.21, issue.3, pp.30-42, 2001.

S. Platt, S. Farritor, K. Garvin, and H. Haider, The Use of Piezoelectric Ceramics for Electric Power Generation Within Orthopedic Implants, IEEE/ASME Transactions on Mechatronics, vol.10, pp.455-461, 2005.

C. Dagdeviren, B. D. Yang, Y. Su, P. L. Tran, P. Joe et al., Conformal piezoelectric energy harvesting and storage from motions of the heart, lung, and diaphragm, Proceedings of the National Academy of Sciences of the United States of America, vol.111, pp.1927-1959, 2014.

Y. Zhu, S. O. Moheimani, and M. R. Yuce, A 2-DOF MEMS Ultrasonic Energy Harvester, IEEE Sensors Journal, vol.11, pp.155-161, 2011.

C. He, A. Arora, M. Kiziroglou, D. Yates, D. O'hare et al., MEMS Energy Harvesting Powered Wireless Biometric Sensor, IEEE International Workshop on Wearable and Implantable Body Sensor Networks, pp.207-212, 2009.

M. Kiziroglou, C. He, and E. Yeatman, Flexible substrate electrostatic energy harvester, IET Electronics Letters, vol.46, issue.2, p.166, 2010.

J. C. Park, D. H. Bang, and J. Y. Park, Micro-Fabricated Electromagnetic Power Generator to Scavenge Low Ambient Vibration, IEEE Transactions on Magnetics, vol.46, pp.1937-1942, 2010.

Ö. Zorlu, E. T. Topal, and H. Kulah, A Vibration-Based Electromagnetic Energy Harvester Using Mechanical Frequency Up-Conversion Method, IEEE Sensors Journal, vol.11, pp.481-488, 2011.

R. Mijarez, P. Gaydecki, and M. Burdekin, Flood member detection for realtime structural health monitoring of sub-sea structures of offshore steel oilrigs, IOP Smart Materials and Structures, vol.16, pp.1857-1869, 2007.

C. Donovan, A. Dewan, H. Peng, D. Heo, and H. Beyenal, Power management system for a 2.5 W remote sensor powered by a sediment microbial fuel cell, Elsevier Journal of Power Sources, vol.196, pp.1171-1177, 2011.

I. Ieropoulos, J. Greenman, C. Melhuish, I. Horsfield, I. Ieropoulos et al., EcoBot-III: A robot with guts, MIT Artificial Life X: Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systems, 2010.

I. A. Ieropoulos, P. Ledezma, A. Stinchcombe, G. Papaharalabos, C. Melhuish et al., Waste to real energy: the first MFC powered mobile phone, Royal Society of Chemistry Journal on Physical Chemistry Chemical Physics (PCCP), vol.15, p.15312, 2013.

Y. R. Thomas, M. Picot, A. Carer, O. Berder, O. Sentieys et al., A single sediment-microbial fuel cell powering a wireless telecommunication system, Elsevier Journal of Power Sources, vol.241, pp.703-708, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00832354

, MCP73871 -USB/AC Battery Charger with Power Path Management, pp.2018-2026

F. Todeschini, C. Planat, P. Milazzo, S. Tricomi, P. Urard et al., A Nano quiescent Current Power Management for Autonomous Wireless Sensor Network, IEEE International Conference on Electronics, Circuits, and Systems (ICECS), pp.815-818, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00952300

J. Kim, J. Kim, and C. Kim, A Regulated Charge Pump With a Low-Power Integrated Optimum Power Point Tracking Algorithm for Indoor Solar Energy Harvesting, IEEE Transactions on Circuits and Systems II: Express Briefs, vol.58, pp.802-806, 2011.

G. Yu, K. W. Chew, Z. C. Sun, H. Tang, and L. Siek, A 400 nW SingleInductor Dual-Input-Tri-Output DC-DC Buck-Boost Converter With Maximum Power Point Tracking for Indoor Photovoltaic Energy Harvesting, IEEE Journal of Solid-State Circuits, vol.50, pp.2758-2772, 2015.

Y. K. Ramadass and A. P. Chandrakasan, An Efficient Piezoelectric Energy Harvesting Interface Circuit Using a Bias-Flip Rectifier and Shared Inductor, IEEE Journal of Solid-State Circuits, vol.45, pp.189-204, 2010.

E. J. Carlson, K. Strunz, and B. P. Otis, A 20 mV Input Boost Converter With Efficient Digital Control for Thermoelectric Energy Harvesting, IEEE Journal of Solid-State Circuits, vol.45, pp.741-750, 2010.

E. Dallago, A. L. Barnabei, A. Liberale, P. Malcovati, and G. Venchi, An Interface Circuit for Low-Voltage Low-Current Energy Harvesting Systems, IEEE Transactions on Power Electronics, vol.30, pp.1411-1420, 2015.

C. Carvalho and N. Paulino, Start-up circuit for low-power indoor light energy harvesting applications, IET Electronics Letters, vol.49, pp.669-671, 2013.

K. Kadirvel, Y. Ramadass, U. Lyles, J. Carpenter, V. Ivanov et al., A 330nA energy-harvesting charger with battery management for solar and thermoelectric energy harvesting, IEEE International Solid-State Circuits Conference (ISSCC), pp.106-108, 2012.

A. Devices and . Inc, LTC3108 -Ultralow Voltage Step-Up Converter and Power Manager, pp.2018-2026

, BQ25570 -Ultra Low Power Harvester Power Management IC with Boost Charger, and Nanopower Buck Converter, pp.2018-2026

. Stmicroelectronics, SPV1050 -Ultra low power energy harvester and battery charger with embedded MPPT and LDOs, pp.2018-2026

P. Zhang, C. M. Sadler, S. A. Lyon, and M. Martonosi, Hardware design experiences in ZebraNet, ACM International Conference on Embedded Networked Sensor Systems (SenSys), p.227, 2004.

, How to charge Lithium Iron Phosphate Rechargeable Lithium Ion Batteries, pp.2018-2026

. Samsung-electronics-co and . Ltd, Press release -Samsung Announces Cause of Galaxy Note7 Incidents in Press Conference, pp.2018-2026

D. Linzen, S. Buller, E. Karden, and R. Dedoncker, Analysis and Evaluation of Charge-Balancing Circuits on Performance, Reliability, and Lifetime of Supercapacitor Systems, IEEE Transactions on Industry Applications, vol.41, pp.1135-1141, 2005.

Y. Diab, P. Venet, and G. Rojat, Comparison of the Different Circuits Used for Balancing the Voltage of Supercapacitors: Studying Performance and Lifetime of Supercapacitors, European Symposium on Supercapacitors (ESSCAP), p. on CD, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00411482

M. S. Chan, K. Chau, and C. Chan, Effective Charging Method for Ultracapacitors, J-Stage Journal of Asian Electric Vehicles, vol.3, issue.2, pp.771-776, 2005.

S. Arkadiusz, J. Sikula, V. Sedlakova, J. Majzner, P. Sedlak et al., Voltage Dependence of Supercapacitor Capacitance, Polish Academy of Sciences Journal on Metrology and Measurement Systems, vol.XVII, issue.4, pp.537-547, 2010.

. Stmicroelectronics, EnFilm -rechargeable solid state lithium thin film battery, pp.2018-2026

D. Porcarelli, D. Brunelli, and L. Benini, Characterization of lithium-ion capacitors for low-power energy neutral wireless sensor networks, IEEE International Conference on Networked Sensing (INSS), pp.1-4, 2012.

. Murata-manufacturing-co and . Ltd, Small Energy Device Cylinder type (UMAC), pp.2018-2026

. Taiyo-yuden-co and . Ltd, LIC1030RS3R8206 -Cylinder Type Lithium Ion Capacitor(Low Resistance Type), pp.2018-2026

B. Martinez, M. Monton, I. Vilajosana, and J. D. Prades, The Power of Models: Modeling Power Consumption for IoT Devices, IEEE Sensors Journal, vol.15, pp.5777-5789, 2015.

F. J. Rincon, M. Paselli, J. Recas, Q. Zhao, M. Sanchez-elez et al., OS-Based Sensor Node Platform and Energy Estimation Model for Health-Care Wireless Sensor Networks, IEEE Design, Automation and Test in Europe (DATE), pp.1027-1032, 2008.

C. Brandolese, W. Fomacian, F. Salice, and D. Sciuto, An instruction-level functionality-based energy estimation model for 32-bits microprocessors, IEEE Design Automation Conference (DAC), pp.346-350, 2000.

M. Bazzaz, M. Salehi, and A. Ejlali, An Accurate Instruction-Level Energy Estimation Model and Tool for Embedded Systems, IEEE Transactions on Instrumentation and Measurement, vol.62, pp.1927-1934, 2013.

O. Hahm and S. Adler, Profiling energy consumption of Wireless Sensor Nodes with almost zero effort, IEEE International Conference on Communications (ICC), pp.6273-6277, 2012.

X. Jiang, P. Dutta, D. Culler, and I. Stoica, Micro power meter for energy monitoring of wireless sensor networks at scale, ACM International Conference on Information Processing in Sensor Networks (IPSN), pp.186-195, 2007.

A. Devices and . Inc, LTC4150 -Coulomb Counter/Battery Gas Gauge, pp.2018-2026

, BQ2019 -FLASH-Based Precision Multi-Chemistry Charge/Discharge Counter W/High-Speed 1-Wire I/F (HDQ), pp.2018-2026

N. Chang, K. Kim, and H. G. Lee, Cycle-accurate energy consumption measurement and analysis, ACM International Symposium on Low Power Electronics and Design (ISLPED), pp.185-190, 2000.

S. Naderiparizi, A. N. Parks, F. S. Parizi, and J. R. Smith, µMonitor: In-situ energy monitoring with microwatt power consumption, IEEE International Conference on RFID (RFID), pp.1-8, 2016.

A. Devices and . Inc, LTC3335 -Nanopower Buck-Boost DC/DC with Integrated Coulomb Counter, pp.2018-2026

M. García, J. M. Maruri, L. Marroyo, E. Lorenzo, and M. Pérez, Partial shadowing, MPPT performance and inverter configurations: observations at tracking PV plants, Wiley Journal of Progress in Photovoltaics: Research and Applications, vol.16, pp.529-536, 2008.

M. Bodur and M. Ermis, Maximum power point tracking for low power photovoltaic solar panels, IEEE Mediterranean Electrotechnical Conference (MELECON), pp.758-761, 1994.

F. Liu, Y. Kang, Y. Zhang, and S. Duan, Comparison of P&O and hill climbing MPPT methods for grid-connected PV converter, IEEE Conference on Industrial Electronics and Applications, pp.804-807, 2008.

Z. Liang, R. Guo, and A. Huang, A new cost-effective analog maximum power point tracker for PV systems, IEEE Energy Conversion Congress and Exposition, pp.624-631, 2010.

J. Ahmad and H. Kim, A Voltage Based Maximum Power Point Tracker for Low Power and Low Cost Photovoltaic Applications, WASET International Journal of Electronics and Communication Engineering, pp.712-715, 2009.

V. Scarpa, S. Buso, and G. Spiazzi, Low-Complexity MPPT Technique Exploiting the PV Module MPP Locus Characterization, IEEE Transactions on Industrial Electronics, vol.56, pp.1531-1538, 2009.

Y. Chen, K. Smedley, and F. Vacher, A new maximum power point tracking controller for photovoltaic power generation, IEEE Applied Power Electronics Conference and Exposition, vol.00, pp.58-62, 2003.

D. Carli, D. Brunelli, D. Bertozzi, and L. Benini, A high-efficiency windflow energy harvester using micro turbine, IEEE International Symposium on Power Electronics Electrical Drives Automation and Motion (SPEEDAM), pp.778-783, 2010.

A. Shrivastava, N. E. Roberts, O. U. Khan, D. D. Wentzloff, and B. H. Calhoun, A 10 mV-Input Boost Converter With Inductor Peak Current Control and Zero Detection for Thermoelectric and Solar Energy Harvesting With 220 mV Cold-Start and 14.5 dBm, 915 MHz RF Kick-St, IEEE Journal of Solid-State Circuits, vol.50, pp.1820-1832, 2015.

&. Imc-networks, . Mtbf, M. Mttr, -. Mtbf, and -. Mttf, Expanation of Terms

, Military Handbook -Reliability Prediction of Electronic Equipment, pp.2018-2026

J. Jones and J. Hayes, A comparison of electronic-reliability prediction models, IEEE Transactions on Reliability, vol.48, pp.127-134, 1999.

, IEC 60063:2015 -Preferred number series for resistors and capacitors, pp.2018-2026

B. Xu, A. Oudalov, A. Ulbig, G. Andersson, and D. S. Kirschen, Modeling of Lithium-Ion Battery Degradation for Cell Life Assessment, IEEE Transactions on Smart Grid, vol.9, pp.1131-1140, 2016.

. Cde-cornell-dubilier, Specifications -Type EDL, Electric Double Layer Supercapacitors, pp.2018-2026

K. Martinez, R. Ong, and J. Hart, Glacsweb: a sensor network for hostile environments, IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (SECON), pp.81-87, 2004.

G. Werner-allen, K. Lorincz, J. Johnson, J. Lees, and M. Welsh, Fidelity and Yield in a Volcano Monitoring Sensor Network, ACM Symposium on Operating Systems Design and Implementation, pp.381-396, 2006.

A. S. Weddell, N. R. Harris, and N. M. White, An Efficient Indoor Photovoltaic Power Harvesting System for Energy-Aware Wireless Sensor Nodes, Eurosensors, 2008.

T. Zhu, Z. Zhong, Y. Gu, T. He, and Z. Zhang, Leakage-aware energy synchronization for wireless sensor networks, ACM International Conference on Mobile Systems, Applications and Services, pp.319-332, 2009.

M. Minami, T. Morito, H. Morikawa, and T. Aoyama, Solar biscuit: A battery-less wireless sensor network system for environmental monitoring applications, IEEE International Workshop on Networked Sensing Systems, 2005.

J. Polastre and D. Culler, Perpetual environmentally powered sensor networks, IEEE International Symposium on Information Processing in Sensor Networks (ISPN), pp.463-468, 2005.

C. Chen and P. H. Chou, DuraCap: A supercapacitor-based, powerbootstrapping, maximum power point tracking energy-harvesting system, ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), pp.313-318, 2010.

T. Le, A. Pegatoquet, O. Sentieys, O. Berder, and C. Belleudy, Dutycycle power manager for thermal-powered Wireless Sensor Networks, IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), pp.1645-1649, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00921315

O. Berder and O. Sentieys, PowWow : Power Optimized Hardware/Software Framework for Wireless Motes, VDE International Conference on Architecture of Computing Systems (ARCS), (Hannover), pp.1-5, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00554827

T. Le, A. Pegatoquet, O. Berder, O. Sentieys, and A. Carer, EnergyNeutral Design Framework for Supercapacitor-Based Autonomous Wireless Sensor Networks, ACM Journal on Emerging Technologies in Computing Systems, vol.12, pp.1-21, 2015.

L. Vra?ar, A. Priji?, D. Ne?i?, S. Devi?, and Z. Priji?, Photovoltaic Energy Harvesting Wireless Sensor Node for Telemetry Applications Optimized for Low Illumination Levels, MDPI Electronics, vol.5, p.26, 2016.

W. M. Tan and S. A. Jarvis, On the design of an energy-harvesting noisesensing WSN mote, EURASIP Journal on Wireless Communications and Networking, vol.2014, pp.1-18, 2014.

B. S. Srujana, P. Mathews, and V. Harigovindan, Multi-source Energy Harvesting System for Underwater Wireless Sensor Networks, vol.46, pp.1041-1048, 2015.

C. Park and P. H. Chou, Power utility maximization for multiple-supply systems by a load-matching switch, IEEE International Symposium on Low Power Electronics and Design (ISPLED), pp.168-173, 2004.

Y. K. Tan and S. K. Panda, Energy Harvesting From Hybrid Indoor Ambient Light and Thermal Energy Sources for Enhanced Performance of Wireless Sensor Nodes, IEEE Transactions on Industrial Electronics, vol.58, pp.4424-4435, 2011.

N. Ferry, S. Ducloyer, N. Julien, and D. Jutel, Power and Energy Aware Design of an Autonomous Wireless Sensor Node, ACSIJ Advances in Computer Science: an International Journal, vol.2, 2013.

D. Carli, D. Brunelli, L. Benini, and M. Ruggeri, An effective multi-source energy harvester for low power applications, IEEE Design, Automation & Test in Europe (DATE), pp.1-6, 2011.

A. S. Weddell, N. J. Grabham, N. R. Harris, and N. M. White, Modular Plugand-Play Power Resources for Energy-Aware Wireless Sensor Nodes, IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), pp.1-9, 2009.

J. Colomer-farrarons, P. Miribel-catala, A. Saiz-vela, and J. Samitier, A Multiharvested Self-Powered System in a Low-Voltage Low-Power Technology, IEEE Transactions on Industrial Electronics, vol.58, pp.4250-4263, 2011.

L. Vijay, K. K. Greeshma, and N. S. Murty, Architecture for ASIC based batteryless multi-source energy harvesting system, IEEE International Conference on VLSI Systems, Architecture, Technology and Applications (VLSI-SATA), pp.1-6, 2015.

S. Bandyopadhyay and A. P. Chandrakasan, Platform Architecture for Solar, Thermal, and Vibration Energy Combining With MPPT and Single Inductor, IEEE Journal of Solid-State Circuits, vol.47, pp.2199-2215, 2012.

A. Devices and . Inc, LTspice -High performance SPICE simulation software, pp.2018-2026

. Ee-times, Fundamentals of power system ORing, pp.2018-2026

R. White, Using Redundant DC Power in High Availability Systems, IEEE Applied Power Electronics Conference and Exposition, pp.848-853, 2006.

. Vishay-intertechnology and . Inc, SiP32431 -Ultra Low Leakage and Quiescent Current, 1 A Load Switch with Reverse Blocking, pp.2018-2026

, iCE40 Ultra / UltraLite -Product page, pp.2018-2026

, Microsemi Corporation, pp.2018-2026

, Cypress Semiconductor Corporation, pp.2018-2026

, MSP430FR5969 -MSP430FR5969 16 MHz UltraLow-Power Microcontroller featuring 64 KB FRAM, 2 KB SRAM, 40 IO, pp.2018-2026

, TPS60210 -Regulated 3.3-V 100-mA Low-Ripple Charge Pump with Ultra Low Operating Current, pp.2018-2026

. Wi6labs, Wi6labs LoRa platform, vol.10, 2016.

H. Veendrick, Short-circuit dissipation of static CMOS circuitry and its impact on the design of buffer circuits, IEEE Journal of Solid-State Circuits, vol.19, pp.468-473, 1984.

L. Torvalds, The Linux Kernel Archives, pp.2018-2027

. Riot, Riot : The friendly Operating System for the Internet of Things, pp.2018-2027

. Contiki, Contiki: The Open Source OS for the Internet of Things, pp.2018-2027

, The FreeRTOS? Kernel, pp.2018-2027

G. Nutt, NuttX Real-Time Operating System, pp.2018-2027

, uClinux -Embedded Linux/Microcontroller Project, pp.2018-2027

. Wisebatt, A unique simulation platform for IoT, pp.2018-2028

D. Snowdon, S. Ruocco, and G. Heiser, Power management and dynamic voltage scaling: Myths and facts, ACM Workshop on Power Aware Realtime Computing, 2005.

M. Fourniol, V. Gies, V. Barchasz, E. Kussener, H. Barthelemy et al., Low-Power Wake-Up System based on Frequency Analysis for Environmental Internet of Things, IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), pp.1-6, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01865076

F. Aoudia, M. Gautier, A. Courtay, and O. Berder, Etude du compromis latence-consommation d ' énergie des radios longue portée, Colloque du GDR SoC-SiP, 2017.

W. Benali, M. L. Bot, C. Langlais, and S. Kerouedan, Power consumption of Wi-Fi transceivers, IEEE International Symposium on Wireless Communication Systems, pp.213-217, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01443860

. Semtech, Semtech LoRa technology overview, pp.2018-2027

. Sigfox, Sigfox, the world's leading IoT services provider, pp.2018-2027

A. El-hoiydi and J. Decotignie, WiseMAC: an ultra low power MAC protocol for the downlink of infrastructure wireless sensor networks, IEEE International Symposium on Computers And Communications (ISCC), vol.1, pp.244-251, 2004.

T. N. Le, M. Magno, A. Pegatoquet, O. Berder, O. Sentieys et al., Ultra low power asynchronous MAC protocol using wake-up radio for energy neutral WSN, ACM International Workshop on Energy Neutral Sensing Systems (ENSSys), pp.1-6, 2013.

Y. Sun, O. Gurewitz, and D. B. Johnson, RI-MAC, ACM conference on Embedded network sensor systems (SenSys), p.1, 2008.

M. S. Durante and S. Mahlknecht, An Ultra Low Power Wakeup Receiver for Wireless Sensor Nodes, IEEE International Conference on Sensor Technologies and Applications, pp.167-170, 2009.

S. J. Marinkovic and E. M. Popovici, Nano-Power Wireless Wake-Up Receiver With Serial Peripheral Interface, IEEE Journal on Selected Areas in Communications, vol.29, pp.1641-1647, 2011.

M. Magno, F. Aoudia, M. Gautier, O. Berder, and L. Benini, WULoRa: An energy efficient IoT end-node for energy harvesting and heterogeneous communication, Design, Automation & Test in Europe (DATE), pp.1528-1533, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01501163

, Institute of Electrical and Electronics Engineers., and IEEE-SA Standards Board., IEEE standard for floating-point arithmetic, 2008.

R. Munafo, Survey of Floating-Point Formats, pp.2018-2027

K. Group, Unsigned 10-bit floating-point numbers, pp.2018-2027

A. Kansal, J. Hsu, S. Zahedi, and M. B. Srivastava, Power management in energy harvesting sensor networks, ACM Transactions on Embedded Computing Systems, vol.6, 2007.

T. Le, O. Sentieys, O. Berder, A. Pegatoquet, and C. Belleudy, Power Manager with PID Controller in Energy Harvesting Wireless Sensor Networks, IEEE International Conference on Green Computing and Communications, pp.668-670, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00764554

J. Piorno, C. Bergonzini, D. Atienza, and T. Simunic-rosing, Prediction and management in energy harvested wireless sensor nodes, IEEE International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology, pp.6-10, 2009.

S. Peng and C. Low, Prediction free energy neutral power management for energy harvesting wireless sensor nodes, vol.13, pp.351-367, 2014.

F. Aoudia, M. Gautier, and O. Berder, Learning to survive: Achieving energy neutrality in wireless sensor networks using reinforcement learning, IEEE International Conference on Communications (ICC), pp.1-6, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01530098

G. M. De-araújo, A. R. Pinto, J. Kaiser, and L. B. Becker, Genetic Machine Learning Approach for Link Quality Prediction in Mobile Wireless Sensor Networks, Cooperative Robots and Sensor Networks. Studies in Computational Intelligence, pp.1-18, 2014.

G. M. De-araujo, J. Kaiser, and L. B. Becker, An optimized Markov model to predict link quality in mobile wireless sensor networks, IEEE Symposium on Computers and Communications (ISCC), pp.307-000312, 2012.

T. Liu and A. E. Cerpa, Data-driven link quality prediction using link features, ACM Transactions on Sensor Networks, vol.10, pp.1-35, 2014.

D. R. Cox, Prediction by Exponentially Weighted Moving Averages and Related Methods, Journal of the Royal Statistical Society. Series B (Methodological), vol.23, pp.414-422, 1961.

C. Moser, L. Thiele, D. Brunelli, and L. Benini, Adaptive Power Management in Energy Harvesting Systems, IEEE Design, Automation & Test in Europe (DATE), pp.773-778, 2007.

C. Bergonzini, D. Brunelli, and L. Benini, Algorithms for harvested energy prediction in batteryless wireless sensor networks, IEEE International Workshop on Advances in sensors and Interfaces, pp.144-149, 2009.

J. Lu and K. Whitehouse, SunCast: Fine-grained prediction of natural sunlight levels for improved daylight harvesting, ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN), pp.245-256, 2012.

C. Renner, Solar harvest prediction supported by cloud cover forecasts, ACM International Workshop on Energy Neutral Sensing Systems (ENSSys), pp.1-6, 2013.

S. Kosunalp, A New Energy Prediction Algorithm for Energy-Harvesting Wireless Sensor Networks With Q-Learning, IEEE Access, vol.4, pp.5755-5763, 2016.

I. T. Christou, Quantitative methods in supply chain management : models and algorithms, 2012.

A. Jushi, A. Pegatoquet, and T. N. Le, Wind Energy Harvesting for Autonomous Wireless Sensor Networks, IEEE Euromicro Conference on Digital System Design (DSD), pp.301-308, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01845104

A. Cammarano, C. Petrioli, and D. Spenza, Pro-Energy: A novel energy prediction model for solar and wind energy-harvesting wireless sensor networks, IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (MASS), pp.75-83, 2012.

A. Cammarano, C. Petrioli, and D. Spenza, Improving energy predictions in EH-WSNs with Pro-Energy-VLT, ACM Conference on Embedded Networked Sensor Systems (SenSys), pp.1-2, 2013.

D. Fan, L. L. Ruiz, J. Gong, and J. Lach, Profiling, modeling, and predicting energy harvesting for self-powered body sensor platforms, IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN), pp.402-407, 2016.

C. K. Ho, P. D. Khoa, and P. C. Ming, Markovian models for harvested energy in wireless communications, IEEE International Conference on Communication Systems, pp.311-315, 2010.

A. Castagnetti, A. Pegatoquet, C. Belleudy, and M. Auguin, A framework for modeling and simulating energy harvesting WSN nodes with efficient power management policies, EURASIP Journal on Embedded Systems, vol.2012, issue.1, pp.1-20, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00763913

C. M. Vigorito, D. Ganesan, and A. G. Barto, Adaptive Control of Duty Cycling in Energy-Harvesting Wireless Sensor Networks, IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), pp.21-30, 2007.

A. G. Watts, M. Prauzek, P. Musilek, E. Pelikan, and A. Sanchez-azofeifa, Fuzzy power management for environmental monitoring systems in tropical regions, IEEE International Joint Conference on Neural Networks (IJCNN), pp.1719-1726, 2014.

F. Aoudia, M. Gautier, and O. Berder, Fuzzy Power Management for Energy Harvesting Wireless Sensor Nodes, IEEE International Conference on Communications (ICC), 2016.
URL : https://hal.archives-ouvertes.fr/hal-01302649

F. Aoudia, M. Gautier, M. Magno, O. Berder, and L. Benini, SNW-MAC: An Asynchronous Protocol Leveraging Wake-Up Receivers for Data Gathering in Star Networks, International Conference on Sensor Systems and Software (S-CUBE), pp.3-14, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01412796

R. C. Hsu, C. Liu, and H. Wang, A Reinforcement Learning-Based ToD Provisioning Dynamic Power Management for Sustainable Operation of Energy Harvesting Wireless Sensor Node, IEEE Transactions on Emerging Topics in Computing, vol.2, pp.181-191, 2014.

, Directive 2014/53/EU of the European Parliament and of the Council of 16 April 2014 on the harmonisation of the laws of the Member States relating to the making available on the market of radio equipment and repealing Directive 1999/5/EC Text with EEA relevance, pp.2018-2027

, Commission Implementing Decision (EU) 2017/1483 of 8 August 2017 amending Decision 2006/771/EC on harmonisation of the radio spectrum for use by short-range devices and repealing Decision 2006/804/EC (notified under document C(2017) 5464), pp.2018-2027

B. Brewer, Cross Platform Fixed Point Maths Library, pp.2017-2026

R. Margolies, P. Kinget, I. Kymissis, G. Zussman, M. Gorlatova et al., Energy-Harvesting Active Networked Tags (EnHANTs): Prototyping and Experimentation, ACM Transactions on Sensor Networks, vol.11, pp.1-27, 2015.

J. Lehoczky, L. Sha, and Y. Ding, The rate monotonic scheduling algorithm: exact characterization and average case behavior, IEEE Symposium on Real-Time Systems, pp.166-171

N. Audsley, A. Burns, M. F. Richardson, and A. J. Wellings, Hard RealTime Scheduling: The Deadline-Monotonic Approach, IEEE Workshop on Real-Time Operating Systems and Software, pp.133-137, 1991.

V. Sivaraman and F. M. Chiussi, Statistical analysis of delay bound violations at an earliest deadline (EDF) scheduler, Elsevier Journal on Performance Evaluation, pp.36-37, 1999.

P. Jansen, S. Mullender, J. Scholten, and P. Havinga, Lightweight EDF Scheduling with Deadline Inheritance. No. 2003-23 in CTIT-technical reports, Centre for Telematics and Information Technology (CTIT), 2003.

S. Liu, Q. Qiu, and Q. Wu, Energy Aware Dynamic Voltage and Frequency Selection for Real-Time Systems with Energy Harvesting, IEEE Design, Automation and Test in Europe (DATE), pp.236-241, 2008.

S. Liu, J. Lu, Q. Wu, and Q. Qiu, Harvesting-Aware Power Management for Real-Time Systems With Renewable Energy, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol.20, pp.1473-1486, 2012.

Y. Tan and X. Yin, A dynamic scheduling algorithm for energy harvesting embedded systems, EURASIP Journal on Wireless Communications and Networking, vol.2016, p.114, 2016.

M. Chetto, Task Scheduling In Energy Harvesting Real-time Embedded Systems, OMICS Journal of Information Technology & Software Engineering, vol.02, issue.03, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00740306

Y. Chandarli, Y. Abdeddaim, and D. Masson, The Fixed Priority Scheduling Problem for Energy Harvesting Real-Time Systems, IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, pp.415-418, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00724622

Y. Abdeddaim, Y. Chandarli, and D. Masson, The Optimality of PFPasap Algorithm for Fixed-Priority Energy-Harvesting Real-Time Systems, IEEE Euromicro Conference on Real-Time Systems, pp.47-56, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00783607

K. Faramarzi, M. Hasanloo, and M. Kargahi, The PFPASAP algorithm for energy harvesting real-time systems with a non-ideal supercapacitor, IEEE International Conference on Computer and Knowledge Engineering (ICCKE), pp.279-284, 2015.

Y. Abdeddaïm, Y. Chandarli, and D. Masson, Toward an Optimal FixedPriority Algorithm for Energy-Harvesting Real-Time Systems, IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), pp.45-48, 2013.

C. Moser, D. Brunelli, L. Thiele, and L. Benini, Lazy Scheduling for Energy Harvesting Sensor Nodes, IFIP Working Conference on Distributed and Parallel Embedded Systems (DIPES), pp.125-134, 2006.

D. Audet, N. Macmillan, D. Marinakis, and K. Wu, Scheduling recurring tasks in energy harvesting sensors, IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp.277-282, 2011.

H. E. Ghor, M. Chetto, and R. H. Chehade, A real-time scheduling framework for embedded systems with environmental energy harvesting, Elsevier Journal of Computers & Electrical Engineering, vol.37, pp.498-510, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00544374

M. Chetto, D. Masson, and S. Midonnet, Fixed Priority Scheduling Strategies for Ambient Energy-Harvesting Embedded Systems, IEEE/ACM International Conference on Green Computing and Communications, pp.50-55, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00598718

V. S. Rao, R. V. Prasad, and I. G. Niemegeers, Optimal task scheduling policy in energy harvesting wireless sensor networks, IEEE Wireless Communications and Networking Conference (WCNC), pp.1030-1035, 2015.

J. Lu and Q. Qiu, Scheduling and mapping of periodic tasks on multi-core embedded systems with energy harvesting, IEEE International Green Computing Conference and Workshops, pp.1-6, 2011.

A. Maeda, S. Kasahara, and Y. Takahashi, Dynamic Task Scheduling for Energy Harvesting Nodes in Wireless Sensor Networks, ACM International Conference on Queueing Theory and Network Applications (QTNA), pp.1-8, 2016.

A. Eswaran, A. Rowe, and R. Rajkumar, Nano-RK: An Energy-Aware Resource-Centric RTOS for Sensor Networks, IEEE International RealTime Systems Symposium (RTSS), pp.256-265

G. Bhat, J. Park, and U. Y. Ogras, Near-optimal energy allocation for self-powered wearable systems, IEEE/ACM International Conference on Computer-Aided Design (ICCAD), pp.368-375, 2017.

H. W. Kuhn and A. W. Tucker, Nonlinear programming, Proceedings of the Second Berkeley Symposium on Mathematical Statistics and Probability, pp.481-492, 1951.

F. Aoudia, M. Gautier, M. Magno, O. Berder, and L. Benini, Leveraging Energy Harvesting and Wake-Up Receivers for Long-Term Wireless Sensor Networks, MDPI Sensors, vol.18, p.1578, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01794082

L. Mag, Big Data : 8 projets retenus pour préparer la ville de demain, pp.2018-2028

W. Wang, M. Palaniswami, and S. H. Low, Application-Oriented Flow Control: Fundamentals, Algorithms and Fairness, IEEE/ACM Transactions on Networking, vol.14, pp.1282-1291, 2006.

. Trameto, Delivering any-many-multi source, micro-energy harvesting, pp.2018-2028

T. Bouguera, J. Diouris, J. Chaillout, R. Jaouadi, and G. Andrieux, Energy Consumption Model for Sensor Nodes Based on LoRa and LoRaWAN, MDPI Sensors, vol.18, p.2104, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01828769