During the last one and a half decades, wireless sensor networks
have witnessed significant growth and tremendous development in
both academia and industry. A large number of researchers,
including computer scientists and engineers, have been interested
in solving challenging problems that span all the layers of the
protocol stack of sensor networking systems. Several venues, such
as journals, conferences, and workshops, have been launched to
cover innovative research and practice in this promising and
rapidly advancing field. Because of these trends, I thought it
would be beneficial to provide our sensor networks community with a
comprehensive reference on as much of the findings as possible on a
variety of topics in wireless sensor networks. As this area of
research is in continuous progress, it does not seem to be a
reasonable solution to keep delaying the publication of such
reference any more. This book relates to the second volume and
focuses on the advanced topics and applications of wireless sensor
networks. Our rationale is that the second volume has all
application-specific and non-conventional sensor networks, emerging
techniques and advanced topics that are not as matured as what is
covered in the first volume. Thus, the second volume deals with
three-dimensional, underground, underwater, body-mounted, and
societal networks. Following Donald E. Knuth's above-quoted elegant
strategy to focus on several important fields (The Art of Computer
Programming: Fundamental Algorithms, 1997), all the book chapters
in this volume include up-to-date research work spanning various
topics, such as stochastic modeling, barrier and spatiotemporal
coverage, tracking, estimation, counting, coverage and localization
in three-dimensional sensor networks, topology control and routing
in three-dimensional sensor networks, underground and underwater
sensor networks, multimedia and body sensor networks, and social
sensing. Most of these major topics can be covered in an advanced
course on wireless sensor networks. This book will be an excellent
source of information for graduate students majoring in computer
science, computer engineering, electrical engineering, or any
related discipline. Furthermore, computer scientists, researchers,
and practitioners in both academia and industry will find this book
useful and interesting.
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