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dc.contributor.author Sabbineni, H
dc.contributor.author Chakrabarty, K
dc.date.accessioned 2011-06-21T17:27:53Z
dc.date.issued 2010-12-01
dc.identifier.citation International Journal of Distributed Sensor Networks, 2010, 2010
dc.identifier.issn 1550-1329
dc.identifier.uri http://hdl.handle.net/10161/4317
dc.description.abstract We present a two-tier distributed hash table-based scheme for data-collection in event-driven wireless sensor networks. The proposed method leverages mobile sinks to significantly extend the lifetime of the sensor network. We propose localized algorithms using a distributed geographic hash-table mechanism that adds load balancing capabilities to the data-collection process. We address the hotspot problem by rehashing the locations of the mobile sinks periodically. The proposed mobility model moves the sink node only upon the occurrence of an event according to the evolution of current events, so as to minimize the energy consumption incurred by the multihop transmission of the event-data. Data is collected via single-hop routing between the sensor node and the mobile sink. Simulation results demonstrate significant gains in energy savings, while keeping the latency and the communication overhead at low levels for a variety of parameter values. © 2010 Harshavardhan Sabbineni and Krishnendu Chakrabarty.
dc.language.iso en_US en_US
dc.relation.ispartof International Journal of Distributed Sensor Networks
dc.relation.isversionof 10.1155/2010/402680
dc.title Datacollection in event-driven wireless sensor networks with mobile sinks
dc.title.alternative en_US
dc.type Journal Article
dc.description.version Version of Record en_US
duke.date.pubdate 2010-00-00 en_US
duke.description.endpage 402680 en_US
duke.description.issue en_US
duke.description.startpage 402680 en_US
duke.description.volume en_US
dc.relation.journal International Journal of Distributed Sensor Networks en_US
pubs.organisational-group /Duke
pubs.organisational-group /Duke/Pratt School of Engineering
pubs.organisational-group /Duke/Pratt School of Engineering/Electrical and Computer Engineering
pubs.publication-status Published
pubs.volume 2010
dc.identifier.eissn 1550-1477

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