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dc.contributor.authorYardibi, T.en_US
dc.contributor.authorKarasan, E.en_US
dc.date.accessioned2016-02-08T10:05:54Z
dc.date.available2016-02-08T10:05:54Z
dc.date.issued2008-08-01en_US
dc.identifier.issn1022-0038
dc.identifier.urihttp://hdl.handle.net/11693/22873
dc.description.abstractOne of the most important design objectives in wireless sensor networks (WSN) is minimizing the energy consumption since these networks are expected to operate in harsh conditions where the recharging of batteries is impractical, if not impossible. The sleep scheduling mechanism allows sensors to sleep intermittently in order to reduce energy consumption and extend network lifetime. In applications where 100% coverage of the network field is not crucial, allowing the coverage to drop below full coverage while keeping above a predetermined threshold, i.e., partial coverage, can further increase the networklifetime. In this paper, we develop the distributed adaptivesleep scheduling algorithm (DASSA) for WSNs with partial coverage. DASSA does not require locationinformation of sensors while maintaining connectivity andsatisfying a user defined coverage target. In DASSA, nodesuse the residual energy levels and feedback from the sinkfor scheduling the activity of their neighbors. This feedbackmechanism reduces the randomness in scheduling thatwould otherwise occur due to the absence of locationinformation. The performance of DASSA is compared withan integer linear programming (ILP) based centralizedsleep scheduling algorithm (CSSA), which is devised tofind the maximum number of rounds the network cansurvive assuming that the location information of all sensorsis available. DASSA is also compared with thedecentralized DGT algorithm. DASSA attains networklifetimes up to 92% of the centralized solution and it achieves significantly longer lifetimes compared with the DGT algorithm.en_US
dc.language.isoEnglishen_US
dc.source.titleWireless Networksen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/s11276-008-0125-2en_US
dc.subjectEnergy efficiencyen_US
dc.subjectPartial coverageen_US
dc.subjectSleep/activity schedulingen_US
dc.titleA distributed activity scheduling algorithm for wireless sensor networks with partial coverageen_US
dc.typeArticleen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.spage213en_US
dc.citation.epage225en_US
dc.citation.volumeNumber16en_US
dc.citation.issueNumber6en_US
dc.identifier.doi10.1007/s11276-008-0125-2en_US
dc.publisherSpringeren_US


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