Mobile, Wireless and Sensor Networks: A Clustering Algorithm for Energy Efficiency and Safety

Wireless networking covers a variety of topics involving many challenges. The main concern of clustering approaches for mobile wireless sensor networks (WSNs) is to prolong the battery life of the individual sensors and the network lifetime. For a successful clustering approach, the need of a powerful mechanism to safely elect a cluster head remains a challenging task in many research works that take into account the mobility of the network. In Mobile, Wireless and Sensor Networks: A Clustering Algorithm for Energy Efficiency and Safety, the authors use an approach based on computing of the weight of each node in the network as the proposed technique to deal with this problem. They present a virtual laboratory platform (VLP) of baptized mercury, allowing students and researchers to make practical work (PW) on different aspects of mobile wireless sensor networks. The authors' choice of WSNs is motivated mainly by the use of real experiments needed in most college courses on WSNs. These usual experiments, however, require an expensive investment and many nodes in the classroom. The platform presented here aims at showing the feasibility, the flexibility, and the reduced cost using the authors' approach. The authors demonstrate the performance of the proposed algorithms that contribute to the familiarization of the learners in the field of WSNs.

 

 

 

 

 

 

 

The book will be a valuable resource for students in networking studies as well as for faculty and researchers in this area.

 

 

 

 

 

 

 

 

 

　

 

 

 

 

　

 

 

 

 

　

 

 

Amine Dahane, PhD, is affiliated with the Intelligent Systems Research Laboratory, University of Sciences and Technology of Oran, Algeria. His

 

 

main research interests include wireless sensor networks, their security, routing and management, intrusion detection, and MAC protocols design issues. He is a reviewer of several journals and participates regularly at professional conferences. He received his Master's degree in Computer Systems and Networks from the University of Bechar and his PhD degree in Electronics from the University of Sciences and Technology of Oran (USTO, Algeria).

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Nasr-Eddine Berrached, PhD, is a professor in the Electronics Department at University of Science and Technology of Oran, Algeria. Previously he headed the laboratory of robotics and the research laboratory in intelligent systems (LARESI). His interests include man-machine interface, telerobotics, machine vision, pattern recognition and inverse problem. He received his doctor of engineering in computer science degree from the Tokyo Institute of Technology (TIT, Japan).