{"id":"https://openalex.org/W2112925178","doi":"https://doi.org/10.1109/glocom.2005.1577374","title":"Energy efficient multiple target tracking in sensor networks","display_name":"Energy efficient multiple target tracking in sensor networks","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2112925178","doi":"https://doi.org/10.1109/glocom.2005.1577374","mag":"2112925178"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2005.1577374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2005.1577374","pdf_url":null,"source":{"id":"https://openalex.org/S4363608563","display_name":"GLOBECOM '05. IEEE Global Telecommunications Conference, 2005.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM '05. IEEE Global Telecommunications Conference, 2005.","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113686400","display_name":"Wai-Leong Yeow","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wai-Leong Yeow","raw_affiliation_strings":["Institute for Infocomm Research, Singapore","NUS Graduate School, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"NUS Graduate School, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076502653","display_name":"Chen\u2010Khong Tham","orcid":"https://orcid.org/0000-0002-6005-1198"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chen-Khong Tham","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089043394","display_name":"Wai\u2010Choong Wong","orcid":"https://orcid.org/0000-0001-6581-234X"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wai-Choong Wong","raw_affiliation_strings":["Institute for Infocomm Research, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8689,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76985413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"5 pp.","last_page":"5 pp."},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.7472956776618958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7364566922187805},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.7336565256118774},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6657328009605408},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.5663459897041321},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5370060801506042},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5282579660415649},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.5267271995544434},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5095320343971252},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.4977557957172394},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49383407831192017},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.43875256180763245},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39976632595062256},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3853068947792053},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25403663516044617},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13057971000671387},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11119216680526733},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07335937023162842}],"concepts":[{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7472956776618958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7364566922187805},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.7336565256118774},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6657328009605408},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.5663459897041321},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5370060801506042},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5282579660415649},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5267271995544434},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5095320343971252},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.4977557957172394},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49383407831192017},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.43875256180763245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39976632595062256},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3853068947792053},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25403663516044617},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13057971000671387},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11119216680526733},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07335937023162842},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/glocom.2005.1577374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2005.1577374","pdf_url":null,"source":{"id":"https://openalex.org/S4363608563","display_name":"GLOBECOM '05. IEEE Global Telecommunications Conference, 2005.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM '05. IEEE Global Telecommunications Conference, 2005.","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/70165","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/70165","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W1531886263","https://openalex.org/W1534567030","https://openalex.org/W1557517019","https://openalex.org/W1592847719","https://openalex.org/W2018798792","https://openalex.org/W2036488048","https://openalex.org/W2045028348","https://openalex.org/W2046245205","https://openalex.org/W2102545814","https://openalex.org/W2108769189","https://openalex.org/W2109910161","https://openalex.org/W2119567691","https://openalex.org/W2121111990","https://openalex.org/W2124124637","https://openalex.org/W2126727600","https://openalex.org/W2130593958","https://openalex.org/W2154818210","https://openalex.org/W2534724826","https://openalex.org/W2942228371","https://openalex.org/W6675847806","https://openalex.org/W6676432487","https://openalex.org/W7067554216"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W4256502920","https://openalex.org/W103652678","https://openalex.org/W2999756192","https://openalex.org/W4226090359","https://openalex.org/W187740018","https://openalex.org/W2162286586","https://openalex.org/W4255368532"],"abstract_inverted_index":{"Classical":[0],"tracking":[1,48,107],"methods":[2],"are":[3,80],"not":[4],"concerned":[5],"with":[6,109],"energy":[7,38],"efficiency":[8],"and":[9,76,98],"require":[10],"precise":[11],"localisation.":[12],"We":[13],"addressed":[14],"these":[15],"in":[16,91],"our":[17],"previous":[18],"work":[19],"through":[20,50],"HMTT":[21,36,56,90],"(hierarchical":[22],"Markov":[23],"decision":[24],"process":[25],"for":[26,59],"target":[27],"tracking)":[28],"that":[29],"tracks":[30],"single":[31],"targets":[32,62,75,94],"at":[33,82],"location":[34],"granularity.":[35],"conserves":[37],"by":[39,72],"reducing":[40],"the":[41,60,65,83,92],"rate":[42],"of":[43,67,89],"sensing":[44],"but":[45],"preserves":[46],"acceptable":[47],"accuracy":[49],"trajectory":[51],"prediction.":[52],"In":[53],"this":[54],"paper,":[55],"is":[57,96],"extended":[58],"multiple":[61,73,78,93],"case":[63,95],"where":[64,77],"state":[66],"clusters":[68],"could":[69],"be":[70],"affected":[71],"incoming":[74],"updates":[79],"required":[81],"lower":[84],"level.":[85],"The":[86],"theoretical":[87],"performance":[88],"derived":[97],"simulations":[99],"demonstrate":[100],"its":[101],"effectiveness":[102],"against":[103],"2":[104],"other":[105],"predictive":[106],"algorithms":[108],"up":[110],"to":[111],"200%":[112],"improvement.":[113]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}