{"id":"https://openalex.org/W1998072896","doi":"https://doi.org/10.1145/1614320.1614338","title":"Data fusion improves the coverage of wireless sensor networks","display_name":"Data fusion improves the coverage of wireless sensor networks","publication_year":2009,"publication_date":"2009-09-20","ids":{"openalex":"https://openalex.org/W1998072896","doi":"https://doi.org/10.1145/1614320.1614338","mag":"1998072896"},"language":"en","primary_location":{"id":"doi:10.1145/1614320.1614338","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1614320.1614338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th annual international conference on Mobile computing and networking","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/A5072780737","display_name":"Guoliang Xing","orcid":"https://orcid.org/0000-0003-1772-7751"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Guoliang Xing","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111522314","display_name":"Rui Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Rui Tan","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077348938","display_name":"Benyuan Liu","orcid":"https://orcid.org/0000-0002-7543-1054"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benyuan Liu","raw_affiliation_strings":["University of Massachusetts Lowell, Lowell, MA, USA"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts Lowell, Lowell, MA, USA","institution_ids":["https://openalex.org/I133738476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356291","display_name":"Jianping Wang","orcid":"https://orcid.org/0000-0002-9318-1482"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jianping Wang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013643572","display_name":"Xiaohua Jia","orcid":"https://orcid.org/0000-0001-8702-8302"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiaohua Jia","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111428778","display_name":"Chih\u2010Wei Yi","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Wei Yi","raw_affiliation_strings":["National Chiao Tung University, Hsinchu, Taiwan Roc","National Chiao Tung University , Hsinchu, Taiwan, ROC"],"affiliations":[{"raw_affiliation_string":"National Chiao Tung University, Hsinchu, Taiwan Roc","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"National Chiao Tung University , Hsinchu, Taiwan, ROC","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5072780737"],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":22.1154,"has_fulltext":false,"cited_by_count":143,"citation_normalized_percentile":{"value":0.99595064,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"157","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9993000030517578,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9979000091552734,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6868346333503723},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6519335508346558},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5532467365264893},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5003535747528076},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4574207365512848},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2956976294517517},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11399444937705994}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6868346333503723},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6519335508346558},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5532467365264893},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5003535747528076},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4574207365512848},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2956976294517517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11399444937705994}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1614320.1614338","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1614320.1614338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th annual international conference on Mobile computing and networking","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.717.3216","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.717.3216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://web.adsc.com.sg/rui.tan/pub/p157.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W10100052","https://openalex.org/W21435260","https://openalex.org/W1523471994","https://openalex.org/W1525038591","https://openalex.org/W1570953100","https://openalex.org/W1771785897","https://openalex.org/W1968944075","https://openalex.org/W1991523989","https://openalex.org/W2004215803","https://openalex.org/W2014340293","https://openalex.org/W2014536191","https://openalex.org/W2017799870","https://openalex.org/W2022136257","https://openalex.org/W2022734232","https://openalex.org/W2026183942","https://openalex.org/W2037958743","https://openalex.org/W2048887110","https://openalex.org/W2053334136","https://openalex.org/W2054405892","https://openalex.org/W2068735295","https://openalex.org/W2079153958","https://openalex.org/W2097461696","https://openalex.org/W2100430744","https://openalex.org/W2102604933","https://openalex.org/W2103981365","https://openalex.org/W2106706569","https://openalex.org/W2108299551","https://openalex.org/W2109914635","https://openalex.org/W2110956522","https://openalex.org/W2127497269","https://openalex.org/W2127949150","https://openalex.org/W2130700157","https://openalex.org/W2131692325","https://openalex.org/W2141139697","https://openalex.org/W2141905319","https://openalex.org/W2144668683","https://openalex.org/W2152179543","https://openalex.org/W2152246564","https://openalex.org/W2154591953","https://openalex.org/W2157017541","https://openalex.org/W2160597340","https://openalex.org/W2162935755","https://openalex.org/W2164472621","https://openalex.org/W2168125208","https://openalex.org/W2169391736","https://openalex.org/W2395596874","https://openalex.org/W2537118059","https://openalex.org/W2572955172","https://openalex.org/W2610893972","https://openalex.org/W4210919598","https://openalex.org/W6631490330","https://openalex.org/W6631573567","https://openalex.org/W6634067754","https://openalex.org/W6728534582"],"related_works":["https://openalex.org/W2130966263","https://openalex.org/W2510217115","https://openalex.org/W2378314110","https://openalex.org/W1781058469","https://openalex.org/W2078600672","https://openalex.org/W2113861813","https://openalex.org/W2146200980","https://openalex.org/W1965229852","https://openalex.org/W2396046112","https://openalex.org/W4205116303"],"abstract_inverted_index":{"Wireless":[0],"sensor":[1],"networks":[2],"(WSNs)":[3],"have":[4,46],"been":[5,47],"increasingly":[6],"available":[7],"for":[8,141,229],"critical":[9],"applications":[10,24],"such":[11,23],"as":[12],"security":[13],"surveil-lance":[14],"and":[15,119,151,158,174,194,221],"environmental":[16],"monitoring.":[17],"An":[18],"important":[19],"per-formance":[20],"measure":[21],"of":[22,79,95,107,146,163,184,201],"is":[25,35],"sensing":[26,33,58,66,131],"coverage":[27,59,96,132,170],"that":[28,72,103,125,167,203],"characterizes":[29],"how":[30],"well":[31],"a":[32,38,226],"field":[34],"monitored":[36],"by":[37,49,90,133],"network.":[39],"Although":[40],"advanced":[41],"collaborative":[42],"signal":[43,142],"process-ing":[44],"algorithms":[45],"adopted":[48],"many":[50],"existing":[51],"WSNs,":[52],"most":[53],"previous":[54,186],"analytical":[55,187],"studies":[56],"on":[57,63,98,190,216],"are":[60,160,210],"con-ducted":[61],"based":[62,97,189,215],"overly":[64],"simplistic":[65],"models":[67,102],"(e.g.,":[68],"the":[69,76,92,112,135,161,172,182,185,191,199],"disc":[70,175,192],"model)":[71],"do":[73],"not":[74],"capture":[75],"stochastic":[77,99],"nature":[78],"sens-ing.":[80],"In":[81,139],"this":[82,88],"paper,":[83],"we":[84],"attempt":[85],"to":[86],"bridge":[87],"gap":[89],"explor-ing":[91],"fundamental":[93],"limits":[94],"data":[100,126,205,219,222],"fusion":[101,127,173,206],"fuse":[104],"noisy":[105],"measurements":[106],"multi-ple":[108],"sensors.":[109,138],"We":[110,123],"derive":[111],"scaling":[113],"laws":[114],"between":[115,149],"coverage,":[116],"network":[117],"density,":[118],"signal-to-noise":[120],"ratio":[121],"(SNR).":[122],"show":[124],"can":[128],"significantly":[129],"improve":[130],"exploiting":[134],"collaboration":[136],"among":[137],"particu-lar,":[140],"path":[143],"loss":[144],"exponent":[145],"k":[147],"(typically":[148],"2.0":[150],"5.0),":[152],"\u03c1f":[153,157],"=":[154],"O(\u03c11\u22121/kd),":[155],"where":[156],"\u03c1d":[159],"densi-ties":[162],"uniformly":[164],"deployed":[165],"sensors":[166],"achieve":[168],"full":[169],"under":[171],"models,":[176],"respectively.":[177],"Our":[178,208],"results":[179],"help":[180],"understand":[181],"limitations":[183],"re-sults":[188],"model":[193],"provide":[195],"key":[196],"insights":[197],"into":[198],"design":[200],"WSNs":[202],"adopt":[204],"algorithms.":[207],"analyses":[209],"verified":[211],"through":[212],"extensive":[213],"simulations":[214],"both":[217],"synthetic":[218],"sets":[220],"traces":[223],"collected":[224],"in":[225],"real":[227],"deployment":[228],"vehicle":[230],"detection.":[231]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":20},{"year":2013,"cited_by_count":16},{"year":2012,"cited_by_count":21}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}