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dc.contributor.authorWang, Ken_US
dc.contributor.authorLiao, JMen_US
dc.contributor.authorChen, JMen_US
dc.date.accessioned2014-12-08T15:45:44Z-
dc.date.available2014-12-08T15:45:44Z-
dc.date.issued2000-02-01en_US
dc.identifier.issn1350-2425en_US
dc.identifier.urihttp://dx.doi.org/10.1049/ip-com:20000227en_US
dc.identifier.urihttp://hdl.handle.net/11536/30764-
dc.description.abstractAn alternative strategy (AS) for reducing location update signalling load has been proposed to improve the classical strategy (CS) used in the Global System for Mobile Communications (GSM). However, the AS is suitable only for long-term events and fixed movement tracks. Location tracking (paging) costs more when the mobile host (MH) changes movement habits or encounters short-term events. A novel method is proposed that aims to reduce signalling load resulting from location tracking in the above situations. The key idea is to take user recent movement information (called the paging information record) into account to determine which location area to page first. Performance evaluation has been conducted using a city area zone model that can model a realistic city area environment. Experimental results show that the method can reduce location management signalling costs by 14-55% and 6-39% compared to CS and AS, respectively. The overhead of the approach is the additional storage space required (for storing MH profiles and paging information records) and the additional processing time. However, the overhead is insignificant in terms of today's memory capacity and processor speed, and the reduction in signalling load makes more bandwidth available.en_US
dc.language.isoen_USen_US
dc.titleIntelligent location tracking strategy in PCSen_US
dc.typeArticleen_US
dc.identifier.doi10.1049/ip-com:20000227en_US
dc.identifier.journalIEE PROCEEDINGS-COMMUNICATIONSen_US
dc.citation.volume147en_US
dc.citation.issue1en_US
dc.citation.spage63en_US
dc.citation.epage68en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000086384800010-
dc.citation.woscount18-
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