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Conference Paper: Hybrid approach for localization in anisotropic sensor networks

TitleHybrid approach for localization in anisotropic sensor networks
Authors
KeywordsTransportation
Automobiles
Issue Date2006
PublisherIEEE.
Citation
Ieee Vehicular Technology Conference, 2006, v. 1, p. 344-348 How to Cite?
AbstractIn many real-world applications including agricultural, meterological, military applications, etc, localization techniques are widely used to estimate the geographic locations of sensor nodes based on the precision positions of a few anchors equipped with special hardware. Existing localization algorithms mainly try to improve their accuracy in position estimation by using various heuristic-based or mathematical techniques. Every node in the network follows the same technique to find its physical location. However, each individual method with its own strength can only outperform the others in some but not all nodes. Based on this observation, we develop a hybrid approach for the localization problem. Each node collects the same kind of information. By analysing the information, a node can decide what is the best localization algorithm to use. Different nodes can make their own decisions. Our simulation results reveal that the hybrid approach is effective that it outpeforms existing algorithms. To the best of our knowledge, our work presents the first effort in solving the absolute localization problem by adopting a hybrid approach. © 2006 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/45881
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorCheng, KYen_HK
dc.contributor.authorLui, KSen_HK
dc.contributor.authorTam, Ven_HK
dc.date.accessioned2007-10-30T06:37:38Z-
dc.date.available2007-10-30T06:37:38Z-
dc.date.issued2006en_HK
dc.identifier.citationIeee Vehicular Technology Conference, 2006, v. 1, p. 344-348en_HK
dc.identifier.issn1550-2252en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45881-
dc.description.abstractIn many real-world applications including agricultural, meterological, military applications, etc, localization techniques are widely used to estimate the geographic locations of sensor nodes based on the precision positions of a few anchors equipped with special hardware. Existing localization algorithms mainly try to improve their accuracy in position estimation by using various heuristic-based or mathematical techniques. Every node in the network follows the same technique to find its physical location. However, each individual method with its own strength can only outperform the others in some but not all nodes. Based on this observation, we develop a hybrid approach for the localization problem. Each node collects the same kind of information. By analysing the information, a node can decide what is the best localization algorithm to use. Different nodes can make their own decisions. Our simulation results reveal that the hybrid approach is effective that it outpeforms existing algorithms. To the best of our knowledge, our work presents the first effort in solving the absolute localization problem by adopting a hybrid approach. © 2006 IEEE.en_HK
dc.format.extent2678554 bytes-
dc.format.extent883769 bytes-
dc.format.extent4014 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofIEEE Vehicular Technology Conferenceen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.subjectTransportationen_HK
dc.subjectAutomobilesen_HK
dc.titleHybrid approach for localization in anisotropic sensor networksen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1550-2252&volume=1&spage=344&epage=348&date=2006&atitle=Hybrid+Approach+for+Localization+in+Anisotropic+Sensor+Networksen_HK
dc.identifier.emailLui, KS:kslui@eee.hku.hken_HK
dc.identifier.emailTam, V:vtam@eee.hku.hken_HK
dc.identifier.authorityLui, KS=rp00188en_HK
dc.identifier.authorityTam, V=rp00173en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/VETECS.2005.1543308en_HK
dc.identifier.scopuseid_2-s2.0-34047134564en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-34047134564&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume1en_HK
dc.identifier.spage344en_HK
dc.identifier.epage348en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridCheng, KY=14631590500en_HK
dc.identifier.scopusauthoridLui, KS=7103390016en_HK
dc.identifier.scopusauthoridTam, V=7005091988en_HK

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