Title
Edge Self-Monitoring for Wireless Sensor Networks
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.
Year
DOI
Venue
2011
10.1109/TPDS.2010.72
IEEE Trans. Parallel Distrib. Syst.
Keywords
Field
DocType
monitoring-set-bounded graph,various graph model,protocols,efficient scheme,security,unit disk graph,communication complexity,unit disk graph model,network topology,edge self-monitoring,np-complete problem,local monitoring,distributed polynomial algorithms,telecommunication network topology,np-complete.,polynomial-time approximation scheme,approximation ratio,self-monitoring,sensor networks,specific graph,graph theory,wireless sensor networks,telecommunication security,provable approximation ratio,good self-monitoring capability,security protocols,sensor network,algorithm design and analysis,polynomials,upper bound,wireless sensor network,national security,np complete,algorithm design,security protocol,np complete problem,approximation algorithms,self monitoring,polynomial time approximation scheme
Graph theory,Approximation algorithm,Key distribution in wireless sensor networks,Computer science,Computer network,Communication complexity,Network topology,Wireless sensor network,Polynomial-time approximation scheme,Distributed computing,Unit disk graph
Journal
Volume
Issue
ISSN
22
3
1045-9219
Citations 
PageRank 
References 
14
0.86
21
Authors
5
Name
Order
Citations
PageRank
Dezun Dong117831.90
Xiangke Liao262274.79
Yunhao Liu38810486.66
Changxiang Shen412714.57
Xinbing Wang52642214.43