Christian SALIM : "Data Reduction based energy-efficient approaches for secure..."

Christian Salim thesis work : "Data reduction based energy-efficient approaches for secure priority-based managed wireless video sensor networks"

Abstract : 

The huge amount of data in Wireless Video Sensor Networks (WVSNs) for tiny limited resources sensor nodes increases the energy and bandwidth consumption challenges. Controlling the network is one of the challenges in WVSN due to the huge amount of images sent at the same time from the sensors to the coordinator. In this thesis, to overcome these problems, several contributions have been made. Each contribution concentrates on one or two challenges as follows: In the first contribution, to reduce the energy consumption a new approach for data aggregation in WVSN based on shot similarity functions is proposed. It is deployed on two levels: the video-sensor node level and the coordinator level. At the sensor node level, we propose a frame rate adaptation technique and a similarity function to reduce the number of frames sensed by the sensor
nodes and sent to the coordinator. At the coordinator level, after receiving shots from different neighboring sensor nodes, the similarity between these shots is computed to eliminate redundancies. In the second contribution, some processing and analysis are added based on the similarity between frames on the sensor-node level to send only the important frames to the coordinator. Kinematic functions are defined to predict the next step of the intrusion and to schedule the monitoring system accordingly. In the third contribution, on the transmission phase, on the sensor-node level, a new algorithm to extract the differences between two images is proposed. This contribution also takes into account the security challenge by adapting an efficient ciphering algorithm on the sensor node level. In the last contribution, to avoid slower detection of intrusions leading to slower reactions from the coordinator, a mac-layer protocol based on S-MAC protocol has been proposed to control the network. This solution consists in adding a priority bit to the S-MAC protocol to give priority to critical data.

 Members of jury : 

Pascal LORENZ, Professor at University of Haute Alsace, Reporter
Hamida SEBA, Assistant Professor  HDR at l'University Claude Bernard Lyon 1, Reporter
Moufida MAIMOUR, Assistant Professor at l'University of Lorraine, Examiner
Jacques DEMERJIAN, Professor at liban University Libanaise, Examiner
Christophe Guyeux, Professor at University Bourgogne Franche-Comté, Examiner
Raphaël COUTURIER, Professor at l'University Bourgogne Franche-Comté, PhD Director
Abdallah MAKHOUL, Assistant Professor HDR at University Bourgogne Franche-Comté, PhD Co-director
Rony DARAZI, Associate professor at  University Antonine, PhD Co-director

Location : Amphithéâtre 4, Bâtiment A - IUT Belfort-Montbéliard, 19 Avenue du Maréchal Juin - 90016 Belfort