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Optimal Tree Pruning for Location Update in Machine-to-Machine Communications

dc.citation.epage2632en_US
dc.citation.issue6en_US
dc.citation.spage2620en_US
dc.citation.volume12en_US
dc.citation.woscount1
dc.contributor.authorGau, Rung-Hungen_US
dc.contributor.authorCheng, Ching-Peien_US
dc.contributor.department傳播研究所zh_TW
dc.contributor.departmentInstitute of Communication Studiesen_US
dc.date.accessioned2014-12-08T15:31:23Z
dc.date.available2014-12-08T15:31:23Z
dc.date.issued2013-06-01en_US
dc.description.abstractIn this paper, we propose a novel energy-and-memory efficient location update scheme for wireless M2M communications. According to information theory, in comparison with periodically registering to the Machine-Type Communications (MTC) server, it is more efficient for a MTC device to perform location updates only when new nodes are added into the corresponding parsing tree. Based on the theory of random walks over trees, we propose optimally pruning the parsing tree to minimize the expected value of the sum of the memory cost and the energy cost for a MTC device. We use both analytical results and simulation results to justify the usage of the proposed scheme.en_US
dc.identifier.doi10.1109/TWC.2013.040413.112086en_US
dc.identifier.issn1536-1276en_US
dc.identifier.journalIEEE TRANSACTIONS ON WIRELESS COMMUNICATIONSen_US
dc.identifier.urihttp://dx.doi.org/10.1109/TWC.2013.040413.112086en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/22304
dc.identifier.wosnumberWOS:000321201200008
dc.language.isoen_USen_US
dc.subjectMachine-to-machine communicationsen_US
dc.subjectmobility managementen_US
dc.subjectrandom walks over treesen_US
dc.titleOptimal Tree Pruning for Location Update in Machine-to-Machine Communicationsen_US
dc.typeArticleen_US

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