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SpringerBriefs in Computer Science

Energy-Efficient Area Coverage for Intruder Detection in Sensor Networks

Authors: He, S., Chen, J., Li, J., Sun, Y.

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  • ISBN 978-3-319-04648-8
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About this book

This Springer Brief presents recent research results on area coverage for intruder detection from an energy-efficient perspective. These results cover a variety of topics, including environmental surveillance and security monitoring. The authors also provide the background and range of applications for area coverage and elaborate on system models such as the formal definition of area coverage and sensing models. Several chapters focus on energy-efficient intruder detection and intruder trapping under the well-known binary sensing model, along with intruder trapping under the probabilistic sensing model. The brief illustrates efficient algorithms rotate the duty of each sensor to prolong the network lifetime and ensure intruder trapping performance. The brief concludes with future directions of the field. Designed for researchers and professionals working with wireless sensor networks, the brief also provides a wide range of applications which are also valuable for advanced-level students interested in efficiency and networking.

Table of contents (5 chapters)

Table of contents (5 chapters)

Buy this book

eBook $39.99
price for USA in USD
  • ISBN 978-3-319-04648-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $54.99
price for USA in USD
  • ISBN 978-3-319-04647-1
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Energy-Efficient Area Coverage for Intruder Detection in Sensor Networks
Authors
Series Title
SpringerBriefs in Computer Science
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
The Author(s)
eBook ISBN
978-3-319-04648-8
DOI
10.1007/978-3-319-04648-8
Softcover ISBN
978-3-319-04647-1
Series ISSN
2191-5768
Edition Number
1
Number of Pages
VIII, 97
Number of Illustrations
32 b/w illustrations
Topics

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