Computer Science

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

Amine Dahane, PhD
Nasr-Eddine Berrached, PhD

Mobile, Wireless and Sensor Networks

In production
Pub Date: April, 2018
Hardback Price: $159.95 US
Hard ISBN: 981771886796
Pages: Approx 265p w/Index
Binding Type: hardback
Notes: 6 color and 126 b/w illustrations

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.

Key features:

  • focuses on the most clustering schemes for ad-hoc and WSNs
  • addresses the most important security challenges for WSNs
  • demonstrates the performance of the proposed algorithms that contribute to the familiarization of the learners in the field of WSNs

CONTENTS:
Preface

1. Wireless Sensor Networks: A Survey
1.1 Introduction
1.2 Definition
1.3 Architecture of a Wireless Sensor Networks
1.4 Design Constraints of Wireless Sensor Networks
1.5 Sensors
1.6 Applications of Sensor Networks
1.7 Sensor Networks Communication Architecture
1.8 Conclusions

2. Clustering Techniques
2.1 Introduction
2.2 Definition
2.3 Clusters Formation
2.4 Some Approaches of Clustering
2.5 Conclusions

3. Security in WSNs
3.1 Introduction
3.2 Security Requirements and Related Issues
3.3 Malicious Nodes Attacks in WSNs
3.4 Security Requirements
3.5 Hierarchical Architecture for WSN Security
3.6 Attacks
3.7 Our Classification
3.8 Conclusions

4. WSNs Routing Protocols
4.1 Introduction
4.2 Routing Metrics
4.3 Routing Protocols Classification
4.4 Conclusion

5. A Distributed and Safe Weighted Clustering Algorithm
5.1 A Survey of Clustering Schemes
5.2 Clustering Algorithm for Mobile WSNs
5.4 Weighted Clustering Algorithm (ES-WCA)
5.5 Modeling with UML
5.6 Conclusions

6. Results and Discussion
6.1 Introduction
6.2 Examples of Virtual Laboratories
6.3 The Laboratory Mercury
6.4 Routing Protocols
6.5 Choice of Network Parameters
6.6 Simulation Results


About the Authors / Editors:
Amine Dahane, PhD
Intelligent Systems Research Laboratory, University of Sciences and Technology of Oran, Algeria

Amine Dahane, PhD, is affiliated 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, and intrusion detection. He is a member of the editorial board of the International Journal of Information Security and Privacy. Currently he is pursuing his PhD degree in the Department of Electronics from the University of Sciences and Technology of Oran (USTO, Algeria). He received master’s degree in Computer Systems and Networks from the University of Bechar in 2009.

Nasr-Eddine Berrached, PhD
Professor, Electronics Department, University of Science and Technology of Oran, 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).




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