Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/32346
Title: The self-protection problem in wireless sensor networks
Authors: Wang, D 
Zhang, Q
Liu, J
Keywords: Coverage
Protection
Sensor networks
Issue Date: 2007
Publisher: Association for Computing Machinary
Source: ACM transactions on sensor networks, 2007, v. 3, no. 4, 20 How to cite?
Journal: ACM transactions on sensor networks 
Abstract: Wireless sensor networks have recently been suggested for many surveillance applications, such as object monitoring, path protection, or area coverage. Since the sensors themselves are important and critical objects in the network, a natural question is whether they need certain level of protection, so as to resist the attacks targeting on them directly. If this is necessary, then who should provide this protection, and how it can be done We refer to the above problem as self-protection, as we believe the sensors themselves are the best (and often the only) candidates to provide such protection. In this article, we for the first time present a formal study on the self-protection problems in wireless sensor networks. We show that, if we simply focus on enhancing the quality of field or object covering, the sensors might not necessarily be self-protected, which in turn makes the system extremely vulnerable. We then investigate different forms of self-protections, and show that the problems are generally NP-complete. We develop efficient approximation algorithms for centrally controlled sensors. We further extend the algorithms to fully distributed implementation, and introduce a smart sleep-scheduling algorithm that minimizes the energy consumption.
URI: http://hdl.handle.net/10397/32346
ISSN: 1550-4859
EISSN: 1550-4867
DOI: 10.1145/1281492.1281495
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

18
Last Week
0
Last month
0
Citations as of Apr 10, 2018

WEB OF SCIENCETM
Citations

12
Last Week
0
Last month
0
Citations as of Apr 17, 2018

Page view(s)

37
Last Week
0
Last month
Citations as of Apr 22, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.