Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/71749
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dc.titleSensor density for complete information coverage in wireless sensor networks
dc.contributor.authorWang, B.
dc.contributor.authorChua, K.C.
dc.contributor.authorSrinivasan, V.
dc.contributor.authorWang, W.
dc.date.accessioned2014-06-19T03:27:21Z
dc.date.available2014-06-19T03:27:21Z
dc.date.issued2006
dc.identifier.citationWang, B.,Chua, K.C.,Srinivasan, V.,Wang, W. (2006). Sensor density for complete information coverage in wireless sensor networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3868 LNCS : 69-82. ScholarBank@NUS Repository.
dc.identifier.isbn3540321586
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/71749
dc.description.abstractCoverage is a very important issue in wireless sensor networks. Current literature defines a point to be covered if it is within the sensing radius of at least one sensor. This is a conservative definition of coverage and we have previously proposed a new notion of information coverage. Compared with the conventional definition of coverage, a point can still be information covered even if it is not within the sensing disk of any sensor. The density requirements for complete information coverage of a field are analyzed and simulated for a random sensor deployment. Our results show that significant savings in terms of sensor density can be achieved with information coverage. © Springer-Verlag Berlin Heidelberg 2006.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume3868 LNCS
dc.description.page69-82
dc.identifier.isiutNOT_IN_WOS
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