Wireless Ad Hoc and Sensor Networks Management, Performance, and Applications

Although wireless sensor networks (WSNs) have been employed across a wide range of applications, there are very few books that emphasize the algorithm description, performance analysis, and applications of network management techniques in WSNs. Filling this need, Wireless Ad Hoc and Sensor Networks: Management, Performance, and Applications summarizes not only traditional and classical network management techniques, but also state-of-the-art techniques in this area.The articles presented are expository, but scholarly in nature, including the appropriate history background, a review of current thinking on the topic, and a discussion of unsolved problems. The book is organized into three sections. Section I introduces the basic concepts of WSNs and their applications, followed by the summarization of the network management techniques used in WSNs.Section II begins by examining virtual backbone-based network management techniques. It points out some of the drawbacks in classical and existing methods and proposes several new network management techniques for WSNs that can address the shortcomings of existing methods. Each chapter in this section examines a new network management technique and includes an introduction, literature review, network model, algorithm description, theoretical analysis, and conclusion.Section III applies proposed new techniques to some important applications in WSNs including routing, data collection, data aggregation, and query processing. It also conducts simulations to verify the performance of the proposed techniques. Each chapter in this section examines a particular application using the following structure: brief application overview, application design and implementation, performance analysis, simulation settings, and comments for different test cases/scenario configurations.

Background. Introduction. Management and Performance. Greedy-based Construction of Load-balanced Virtual Backbones in Wireless Sensor Networks. Load-balanced CDS Construction in Wireless Sensor Networks via Genetic Algorithm. Approximation Algorithms for Load-balanced Virtual Backbone Construction in Wireless Sensor Networks. A Genetic Algorithm with Immigrants Schemes for Constructing s - Reliable MCDSs in Probabilistic Wireless Sensor Networks. Constructing Load-balanced Virtual Backbones in Probabilistic Wireless Sensor Networks via Multi-Objective Genetic Algorithm. Constructing Load-balanced Data Aggregation Trees in Probabilistic Wireless Sensor Network. Applications. Reliable and Energy Efficient Target Coverage for Wireless Sensor Networks. CDS-based Multi-regional Query Processing in Wireless Sensor Networks. CDS-based Snapshot and Continuous Data Collection in Dual-radio Multi-channel Wireless Sensor Networks. CDS-based Distributed Data Collection in Wireless Sensor Networks. CDS-based Broadcast Scheduling in Cognitive Radio Networks.

Dr. Jing (Selena) He is currently theAssistant Professor in the Department of Computer Science at Kennesaw State University. She received her B.S.in Electric Engineering from Wuhan Institute of Technology and her M.S. of Computer Science from Utah State University, respectively. Her research interests include wireless ad hoc networks, wireless sensor networks, cyber-physical systems, social networks, and cloud computing. She is now an IEEE member and an IEEE COMSOC member.Shouling Ji is currently a Ph.D. student in the Department of Computer Science at Georgia State University. He received his B.S. and M.S. in Computer Science from the School of Computer Science and Technology at Heilongjiang University, China, in 2007 and 2010, respectively. His research interests include wireless sensor networks, data management in wireless networks, cognitive radio networks, and cyber physical systems. He is now an ACM student member, an IEEE student member, and an IEEE COMSOC student member.Dr. Yi Pan is a professor and chairof the Department of Computer Science and a professor in the Department of Computer Information Systems at Georgia State University. Dr. Pan received his B.Eng. and M.Eng. in Computer Engineering from Tsinghua University, China, in 1982 and 1984, respectively, and his Ph.D. in Computer Science from the University of Pittsburgh, in 1991. Dr. Pan’s research interests include parallel and distributed computing, optical networks, wireless networks, and bioinformatics. Dr. Pan has published more than 100 journal papers with about 50 papers published in various IEEE/ACM journals. He is a co-inventor of three U.S. patents (pending) and 5 provisional patents, and has received many awards from agencies such as NSF, AFOSR, JSPS, IISF and the Mellon Foundation. Dr. Pan has served as an editor-in-chief or editorial board member for 15 journals including 6 IEEE Transactions and a