A wireless sensor network (WSN) uses a number of autonomous devices
to cooperatively monitor physical or environmental conditions via a
wireless network. Since its military beginnings as a means of
battlefield surveillance, practical use of this technology has
extended to a range of civilian applications including
environmental monitoring, natural disaster prediction and relief,
health monitoring and fire detection. Technological advancements,
coupled with lowering costs, suggest that wireless sensor networks
will have a significant impact on 21st century life.
The design of wireless sensor networks requires consideration
for several disciplines such as distributed signal processing,
communications and cross-layer design. "Wireless Sensor Networks:
Signal Processing and Communications" focuses on the theoretical
aspects of wireless sensor networks and offers readers signal
processing and communication perspectives on the design of
large-scale networks. It explains state-of-the-art design theories
and techniques to readers and places emphasis on the fundamental
properties of large-scale sensor networks.
"Wireless Sensor Networks: Signal Processing and
Communications"
Approaches WSNs from a new angle - distributed signal
processing, communication algorithms and novel cross-layer design
paradigms.
Applies ideas and illustrations from classical theory to an
emerging field of WSN applications.
Presents important analytical tools for use in the design of
application-specific WSNs.
"Wireless Sensor Networks" will be of use to signal processing
and communications researchers and practitioners in applying
classical theory to network design. It identifies research
directions for senior undergraduate and graduate students and
offers a rich bibliography for further reading and
investigation.
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