Editorial Reviews
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:
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Approaches WSNs from a new angle –
distributed signal processing, communication algorithms and novel
cross-layer design paradigms
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Applies ideas and illustrations from
classical theory to an emerging field of WSN applications
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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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