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Conference Paper: Location updates and probabilistic tracking algorithms for mobile cellular networks

TitleLocation updates and probabilistic tracking algorithms for mobile cellular networks
Authors
Issue Date1999
PublisherAlgorithms and Networks.
Citation
Proceedings Of The International Symposium On Parallel Architectures, Algorithms And Networks, I-Span, 1999, p. 432-437 How to Cite?
AbstractIn this work, we develop a novel mathematical model to analyze different location update protocols for mobile cellular network. Our model can capture many important features of user movements, such as geographically dependent movement, directional movement and non-exponential distribution of cell dwell times. We propose to use the transient method to predict the location of a mobile user. This method is efficient and, more importantly, able to address the temporal change in the current location of a mobile user. Therefore, the accuracy of the prediction of the location of a user can be enhanced. We also propose a new location update protocol which can attain a lower tracking cost and also adapt to different mobility patterns. Transient performance analysis is also carried out and the results are compared with other protocols.
Persistent Identifierhttp://hdl.handle.net/10722/93319
ISSN

 

DC FieldValueLanguage
dc.contributor.authorLui, John CSen_HK
dc.contributor.authorFong, Cedric CFen_HK
dc.contributor.authorChan, HWen_HK
dc.date.accessioned2010-09-25T14:57:30Z-
dc.date.available2010-09-25T14:57:30Z-
dc.date.issued1999en_HK
dc.identifier.citationProceedings Of The International Symposium On Parallel Architectures, Algorithms And Networks, I-Span, 1999, p. 432-437en_HK
dc.identifier.issn1087-4089en_HK
dc.identifier.urihttp://hdl.handle.net/10722/93319-
dc.description.abstractIn this work, we develop a novel mathematical model to analyze different location update protocols for mobile cellular network. Our model can capture many important features of user movements, such as geographically dependent movement, directional movement and non-exponential distribution of cell dwell times. We propose to use the transient method to predict the location of a mobile user. This method is efficient and, more importantly, able to address the temporal change in the current location of a mobile user. Therefore, the accuracy of the prediction of the location of a user can be enhanced. We also propose a new location update protocol which can attain a lower tracking cost and also adapt to different mobility patterns. Transient performance analysis is also carried out and the results are compared with other protocols.en_HK
dc.languageengen_HK
dc.publisherAlgorithms and Networks.en_HK
dc.relation.ispartofProceedings of the International Symposium on Parallel Architectures, Algorithms and Networks, I-SPANen_HK
dc.titleLocation updates and probabilistic tracking algorithms for mobile cellular networksen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChan, HW:hwchan@cs.hku.hken_HK
dc.identifier.authorityChan, HW=rp00091en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-0033364237en_HK
dc.identifier.hkuros58068en_HK
dc.identifier.spage432en_HK
dc.identifier.epage437en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridLui, John CS=7007064465en_HK
dc.identifier.scopusauthoridFong, Cedric CF=7102179013en_HK
dc.identifier.scopusauthoridChan, HW=24828151400en_HK

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