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dc.contributor.authorWu, Fang-Jingen_US
dc.contributor.authorHsu, Hsiu-Chien_US
dc.contributor.authorTseng, Yu-Cheeen_US
dc.contributor.authorHuang, Chi-Fuen_US
dc.date.accessioned2014-12-08T15:24:54Z-
dc.date.available2014-12-08T15:24:54Z-
dc.date.issued2009en_US
dc.identifier.isbn978-1-4244-4309-3en_US
dc.identifier.urihttp://hdl.handle.net/11536/17294-
dc.identifier.urihttp://dx.doi.org/10.1109/SENSORCOMM.2009.118en_US
dc.description.abstractAn inherent concern for a wireless sensor network (WSN) is the unbalanced energy consumption problem, where sensors closer to the sink are more likely to exhaust their energy faster than other nodes. To mitigate this problem, this paper considers including some resource-rich mobile nodes, called mobile data-pumps, to conduct data relaying from static sensors to the sink. The network thus becomes a two-tier network, with the original static sensors at the low tier and data-pumps at both low and high tiers. We propose a novel distributed navigation protocol that does not rely on any location information of sensor nodes to relocate data-pumps to meet both goals of connectivity and load balance. The main idea is a concept called virtual Voronoi cells, which can help data-pumps to locally balance their loads using the underlaying low-tier topology and thus significantly balance energy consumption of sensors. Simulation results are presented to verify the effectiveness of our result.en_US
dc.language.isoen_USen_US
dc.subjectload balanceen_US
dc.subjectmobile computingen_US
dc.subjectmobile sensoren_US
dc.subjectpervasive computingen_US
dc.subjectwireless sensor networken_US
dc.titleNon-Location-Based Mobile Sensor Relocation in a Hybrid Static-Mobile Wireless Sensor Networken_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/SENSORCOMM.2009.118en_US
dc.identifier.journal2009 3RD INTERNATIONAL CONFERENCE ON SENSOR TECHNOLOGIES AND APPLICATIONS (SENSORCOMM 2009)en_US
dc.citation.spage643en_US
dc.citation.epage649en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000274635500108-
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