Lucas LEAO "Optimization of communication in multi-sink wireless sensor networks"

Lucas LEAO thesis work : "Optimization of communication in multi-sink wireless sensor networks"

Abstract :The design of a wireless sensor network may present numerous challenges, such as scalability, reliability, longevity and timeliness. The existence of multiple sinks may increase the network reliability and facilitates the scalability. However, this improvement is dependent on the routing approach, that must be tailored to help achieving the desired performance goals. From this perspective, the objective of this work is to find ways of optimizing the communication in multi-sink wireless sensor networks considering the problems related to scalability, longevity (network lifetime), reliability (packet delivery) and timeliness (latency). We investigate the trades among data delivery time and energy consumption as key metrics for communication quality and efficiency. For that matter, we propose different routing algorithms, covering all three main communciations schemes (unicast, anycast and multicast).The executed simulations show that our approaches are capable of optimizing the communication, especially in terms of latency and network lifetime. Experiments on the FIT IoT-Lab platform also provide meaningful insights of the performance of our multicast solution in real environment conditions.

Members of jury : BOUMERDASSI Selma, Maître de Conference HDR au CNAM Paris, Rapporteur,

- FLAUZAC Olivier, Professeur à l’Université de Reims-Champagne-Ardenne, Rapporteur,

- HILT Benoît, Maître de Conference HDR à l’Université de l'Haute-Alsace, Examinateur,

- PHILIPPE Laurent, Professeur à l’Université de Franche-Comté, Examinateur,

- FELEA Violeta, Maître de Conference à l’Université de Franche-Comté, Co-directeur de thèse,

- GUYENNET Hervé, Professeur à l’Université de Franche-Comté, Directeur de thèse

Localisation : Salles des Actes - UFR Sciences et Techniques - 16, Route de Gray - 25000 Besançon