Title
Energy Efficient Fractional Coverage Schemes for Low Cost Wireless Sensor Networks
Abstract
An effective approach for energy conservation in wireless sensor networks is scheduling sleep intervals for extraneous nodes, while the remaining nodes stay active to provide continuous service. Depending on different types of applications, the network lifetime may be much more critical than covering the entire monitored area at every data reporting round. This paper presents a competition based distributed scheme called FCS to address the fractional coverage problem in wireless sensor networks with tiny, lowcost sensors. Through localized, energy-aware competition, the proposed scheme achieves the desired fractional coverage with a minimum number of active sensors. By taking account of both residual battery energy and recent reporting latency, an enhanced version of FCS which uses a novel competition metric to constrain the maximum reporting latency throughout the network is also proposed. These two schemes also contain the desirable property that it can be extended easily to handle the more general k-coverage problem.
Year
DOI
Venue
2006
10.1109/ICDCSW.2006.44
ICDCS Workshops
Keywords
Field
DocType
vol. xx,energy awareness,wireless sensor network,nos. xxx,int. j. sensor networks,energy conservation,fractional coverage problem,edward chan,maximum reporting latency,reporting latency and wire- less sensor network. reference to this paper should be made as follows: mao ye,recent reporting latency,energy-aware competition,active sensor,general k-coverage problem,china. his main research interests ar,nanjing,fractional coverage,energy efficient fractional coverage,pp.xxx- xxx. biographical notes: mao ye is a ph.d. student at the state key laboratory for novel software technology,wireless sensor networks,low cost,guihai chen and jie wu xxxx 'energy e-cient fractional coverage schemes for low cost wireless sensor networks',novel competition,sensor network,energy efficiency,computer science,space technology,energy efficient
Key distribution in wireless sensor networks,Residual,Energy conservation,Space technology,Scheduling (computing),Computer science,Latency (engineering),Efficient energy use,Computer network,Wireless sensor network
Conference
ISBN
Citations 
PageRank 
0-7695-2541-5
9
0.60
References 
Authors
20
4
Name
Order
Citations
PageRank
Mao Ye152126.33
Edward Chan245050.35
guihai chen33537317.28
Jie Wu48307592.07