DocumentCode
1467381
Title
Edge Self-Monitoring for Wireless Sensor Networks
Author
Dong, Dezun ; Liao, Xiangke ; Liu, Yunhao ; Shen, Changxiang ; Wang, Xinbing
Author_Institution
Sch. of Comput., Nat. Univ. of Defense Technol., Changsha, China
Volume
22
Issue
3
fYear
2011
fDate
3/1/2011 12:00:00 AM
Firstpage
514
Lastpage
527
Abstract
Local monitoring is an effective mechanism for the security of wireless sensor networks (WSNs). Existing schemes assume the existence of sufficient number of active nodes to carry out monitoring operations. Such an assumption, however, is often difficult for a large-scale sensor network. In this work, we focus on designing an efficient scheme integrated with good self-monitoring capability as well as providing an infrastructure for various security protocols using local monitoring. To the best of our knowledge, we are the first to present the formal study on optimizing network topology for edge self-monitoring in WSNs. We show that the problem is NP-complete even under the unit disk graph (UDG) model and give the upper bound on the approximation ratio in various graph models. We provide polynomial-time approximation scheme (PTAS) algorithms for the problem in some specific graphs, for example, the monitoring-set-bounded graph. We further design two distributed polynomial algorithms with provable approximation ratio. Through comprehensive simulations, we evaluate the effectiveness of our design.
Keywords
communication complexity; graph theory; protocols; telecommunication network topology; telecommunication security; wireless sensor networks; NP-complete problem; distributed polynomial algorithms; edge self-monitoring; monitoring-set-bounded graph; network topology; polynomial-time approximation scheme; security protocols; unit disk graph model; wireless sensor networks; NP-complete.; Sensor networks; security; self-monitoring;
fLanguage
English
Journal_Title
Parallel and Distributed Systems, IEEE Transactions on
Publisher
ieee
ISSN
1045-9219
Type
jour
DOI
10.1109/TPDS.2010.72
Filename
5445092
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