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Gestion de l'énergie et de la connectivité dans les réseaux de capteurs sans fil statiques et mobiles

Abstract : A number of works based on wireless sensor networks are interested in the energy management of these sensors. This energy is in fact a critical factor in the operation of these networks. Proper construction of sensor clusters is a great way to minimize the consumption of this energy. The problems related to these networks and often lies in their lifetime but also in the need to maintain connectivity between all transducers. These two aspects are closely linked. In this thesis, we focused on these two aspects in the context of static sensor networks but also of mobile sensors.We propose, as a _rst step, a hybrid algorithm for setting up clusters and the management of theseclusters. The uniqueness of this solution lies in the establishment of geographic areas for designation fcluster heads but also in transmission, in the exchanged messages, the amount of remaining energy on the sensors. Thus, the sensor data will designate the cluster heads and their successors will determine the thresholds for other sensors and for their operation. The algorithm is tested through many simulations. The second part of the work is to adapt our _rst algorithm for mobile sensor networks. We a_ect the trajectory of sensors to maintain connectivity and reduce energy consumption. For this, we are guided echo-location practiced by bats. We're interested in changing and dynamic topology in sensor networks. We analyzed the loss of energy as a function of the distance and the power transmission between the nodes and the head cluster. We also evaluate our algorithm on sensors that have a random move. We apply these algorithms to a _eet of surveillance drones simulation.
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Submitted on : Wednesday, January 10, 2018 - 1:04:10 PM
Last modification on : Wednesday, September 16, 2020 - 10:42:49 AM
Long-term archiving on: : Wednesday, May 23, 2018 - 5:00:06 PM


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  • HAL Id : tel-01680050, version 1


Yacouba Ouattara. Gestion de l'énergie et de la connectivité dans les réseaux de capteurs sans fil statiques et mobiles. Système multi-agents [cs.MA]. Université de Franche-Comté, 2015. Français. ⟨NNT : 2015BESA2046⟩. ⟨tel-01680050⟩



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