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Learn the fundamental concepts, major challenges, and effective solutions in wireless sensor networking
This book provides a comprehensive and systematic introduction to the fundamental concepts, major challenges, and effective solutions in wireless sensor networking (WSN). Distinguished from other books, it focuses on the networking aspects of WSNs and covers the most important networking issues, including network architecture design, medium access control, routing and data dissemination, node clustering, node localization, query processing, data aggregation, transport and quality of service, time synchronization, network security, and sensor network standards.
With contributions from internationally renowned researchers, Wireless Sensor Networks expertly strikes a balance between fundamental concepts and state-of-the-art technologies, providing readers with unprecedented insights into WSNs from a networking perspective. It is essential reading for a broad audience, including academic researchers, research engineers, and practitioners in industry. It is also suitable as a textbook or supplementary reading for electrical engineering, computer engineering, and computer science courses at the graduate level.
- Sales Rank: #4334089 in Books
- Published on: 2009-09-28
- Original language: English
- Number of items: 1
- Dimensions: 9.55" h x 1.12" w x 6.35" l, .0 pounds
- Binding: Hardcover
- 489 pages
From the Inside Flap
About the Author
Jun Zheng, PhD, is a Professor with the School of Information Science and Engineering of the Southeast University, China. He has been involved in extensive research and development in the field of telecommunications engineering for many years. He is a technical editor of IEEE Communications Magazine and the online magazine IEEE Communications Surveys & Tutorials. He has coauthored one book and has published a number of technical papers in refereed journals, magazines, and conference proceedings. An award-winning scientist in the communications technology field, Dr. Zheng is a senior member of the IEEE.
Abbas Jamalipour, PhD, is a Professor of Wireless Networking at the University of Sydney, Australia, where he is responsible for teaching and research in wireless data communication networks, wireless IP networks, network security, and cellular communications. He is the Editor in Chief of the IEEE Wireless Communications and technical editor of IEEE Communications Magazine and the International Journal of Communication Science. Dr. Jamalipour has authored or coauthored a dozen books and has published more than 190 papers in major journals and international conferences. He is a Fellow of the IEEE and Engineers Australia, as well as an IEEE Distinguished Lecturer.
Most helpful customer reviews
0 of 0 people found the following review helpful.
promising, interesting algorithms
By W Boudville
There has been a lot of research done on Wireless Sensor Networks and the editors of this book give us a timely [circa 2010] perspective on the field.
In each chapter we see big differences between a WSN and a traditional wired network of machines. The most significant is the low power on a sensor in a WSN. Often, sensors might be scattered over some region, where each sensor has a battery and the battery cannot be replaced or recharged. We also see that communication power typically is greater than computational power inside a sensor. So many algorithms in the book stress clever ways to reduce the amount of time that a sensor is transmitting or receiving.
Another approach is with a heterogeneous network of sensors and actors [WSAN]. The actors are nodes with more power, so that they can do more computing than a generic leaf sensor, and they can often have a greater communication range. This takes advantage of the situation where we have a dense sensor network, and sensors around some event of interest might have redundant data. An actor might only solicit data from a few sensors around the event, saving precious energy on the other sensors.
A protocol stack can be used for a WSN. But one interesting suggestion is that the very modularity of the protocol approach leads to inefficiency. Thus the idea of a cross layer design, where several protocol layers might be merged. One problem however arises if you want to simulate this. Existing network simulators that have been used for WSN invariably use a protocol stack. A completely new simulator might have to be coded to test a mooted cross layer design.
One slight disappointment about the book was the lack of actual case studies of military WSNs. These were only mentioned en passant. It would have been neat to get more details about actual military deployed WSNs, if such data are publicly available.
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