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Energy-efficient area coverage for intruder detection in sensor networks

Author: Chibo He; Jiming Chen; Junkun Li; Youxian Sun
Publisher: Heidelberg : Springer, [2014]. ©2014.
Series: SpringerBriefs in computer science.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
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.  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Energy-efficient area coverage for intruder detection in sensor networks.
Cham, [Germany] ; Heidelberg, [Germany] : Springer, c2014
viii, 97 pages
2014931490
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Chibo He; Jiming Chen; Junkun Li; Youxian Sun
ISBN: 9783319046488 3319046489 3319046470 9783319046471
OCLC Number: 871177801
Description: 1 online resource : color illustrations.
Contents: Introduction to Area Coverage in Sensor Networks --
Energy-Efficient Capture of Stochastic Events in Sensor Networks --
Energy-Efficient Trap Coverage in Sensor Networks --
Trapping Mobile Targets in Sensor Networks --
Conclusion.
Series Title: SpringerBriefs in computer science.
Responsibility: Chibo He, Jiming Chen, Junkun Li, Youxian Sun.

Abstract:

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.

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