PhD graduated
Team : Phare
Departure date : 12/17/2015
Supervision : Guy PUJOLLE
Co-supervision : AIT-SAADI Nadjib

3D Underwater Wireless Sensor Network Deployment

Wireless Sensor Network (WSN) is a set of nodes deployed over an area and intended to monitor, supervise, and detect an event (e.g. intruder, chemical weapon, etc). When an event is detected, the network must be able to forward the detection measurement to the base station (sink) in order to inform the end-user and to execute the associated procedures. For example, if the chemical substance within the monitored lake exceeds a predefined threshold, the sink will send an alarm to the room control so that the pollution can be easily stopped. WSN are confronted with many challenges [1] such as routing and MAC protocols, security, energy saving, etc. Indeed, WSN performance strongly depends on the successful of deployment stage. Note that i) target deployment coverage, ii) quality of monitoring, iii) network connectivity, iv) network lifetime and v) deployment cost are correlated to the deployment process. The offline deployment of static WSN has been studied in the literature and many deployment algorithms have been proposed [2-4]. The main problematic, which will be tackled in the thesis, is the 3D underwater WSN deployment problem [5][6]. It is worth noting that the underwater WSN deployment stage is complex and requires an underwater human-intervention. Besides, the network performance depends strongly on the network topology. Indeed, the objective is to generate the best underwater wireless sensor network topology that i) guarantees the desired Quality of Monitoring, ii) reduces the cost of deployment, and iii) maximizes the network lifetime. The above deployment problem is a multi-objective optimization problem and it is NP-Hard. The deployment process must take into account the chemical sensors with 3D coordinates and the sinks deployed at the surface and/or lake’s borders. Besides, the physical layer (acoustic and/or RF) [7][8] will be considered during the deployment process. The challenge is to make use meta-heuristics and standard optimization algorithms to propose new underwater WSN deployment strategies ensuring the desired QoM, connectivity and maximizing lifetime.
Defence : 12/16/2015 - 10h - Site Jussieu 25-26/105
Jury members :
Lila Boukhatem, Associate professor, Paris Sud University - Orsay [Rapporteur]
Dominique Gaïti, Professor, Troyes University of Technology - Troyes [Rapporteur]
Mounir Frikha, Professor, SupCom Engineering School - Tunis - Tunisia
Paul Muhlethaler, Research director, INRIA Rocquencourt
Ilhem Fajjari, Research engineer, Orange Labs - Issy les Moulineaux
Rami Langar, Associate professor - HDR, UPMC Sorbonne Universités - Paris
Nadjib Aitsaadi, Associate professor, University of Paris Est Créteil Val de Marne
Guy Pujolle, Professor, UPMC Sorbonne Universités - Paris

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