{"id":"https://openalex.org/W1976605067","doi":"https://doi.org/10.1145/1236360.1236426","title":"Probabilistic detection of mobile targets in heterogeneous sensor networks","display_name":"Probabilistic detection of mobile targets in heterogeneous sensor networks","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W1976605067","doi":"https://doi.org/10.1145/1236360.1236426","mag":"1976605067"},"language":"en","primary_location":{"id":"doi:10.1145/1236360.1236426","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1236360.1236426","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th international conference on Information processing in sensor networks - IPSN '07","raw_type":"proceedings-article"},"type":"conference-abstract","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/A5063642902","display_name":"Loukas Lazos","orcid":"https://orcid.org/0000-0002-6187-7063"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Loukas Lazos","raw_affiliation_strings":["University of Washington, Seattle, WA","University Of Washington (Seattle, WA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"University Of Washington (Seattle, WA)","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079723268","display_name":"Radha Poovendran","orcid":"https://orcid.org/0000-0003-0269-8097"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Radha Poovendran","raw_affiliation_strings":["University of Washington, Seattle, WA","University Of Washington (Seattle, WA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"University Of Washington (Seattle, WA)","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041520627","display_name":"James A. Ritcey","orcid":"https://orcid.org/0000-0002-6951-5083"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James A. Ritcey","raw_affiliation_strings":["University of Washington, Seattle, WA","University Of Washington (Seattle, WA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"University Of Washington (Seattle, WA)","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":79,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"519","last_page":"519"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9986000061035156,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9986000061035156,"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":0.9959999918937683,"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":0.9886999726295471,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.688402533531189},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.6858643889427185},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6808077096939087},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5541608929634094},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43869689106941223},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.43497687578201294},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4164285659790039},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3589732348918915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3534129559993744},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33765193819999695},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2008751630783081},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09204414486885071}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.688402533531189},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.6858643889427185},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6808077096939087},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5541608929634094},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43869689106941223},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.43497687578201294},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4164285659790039},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3589732348918915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3534129559993744},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33765193819999695},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2008751630783081},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09204414486885071},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1236360.1236426","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1236360.1236426","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th international conference on Information processing in sensor networks - IPSN '07","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.108.5901","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.108.5901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ee.washington.edu/research/nsl/papers/TRdetection06.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":21,"referenced_works":["https://openalex.org/W21435260","https://openalex.org/W94458276","https://openalex.org/W107817730","https://openalex.org/W1968944075","https://openalex.org/W1991523989","https://openalex.org/W1996931690","https://openalex.org/W2027157478","https://openalex.org/W2035075784","https://openalex.org/W2074312267","https://openalex.org/W2084665183","https://openalex.org/W2093153346","https://openalex.org/W2100430744","https://openalex.org/W2103202897","https://openalex.org/W2108299551","https://openalex.org/W2134783995","https://openalex.org/W2137111949","https://openalex.org/W2152179543","https://openalex.org/W2152461919","https://openalex.org/W2160597340","https://openalex.org/W2751862591","https://openalex.org/W3147180084"],"related_works":["https://openalex.org/W2348909947","https://openalex.org/W4292672442","https://openalex.org/W2362101859","https://openalex.org/W2941610985","https://openalex.org/W2791431590","https://openalex.org/W4235810826","https://openalex.org/W1978900583","https://openalex.org/W2350688482","https://openalex.org/W1519058190","https://openalex.org/W2367879005"],"abstract_inverted_index":{"Target":[0],"detection":[1,18,48,67,90],"and":[2,74,83,106],"field":[3],"surveillance":[4],"are":[5,56],"among":[6],"the":[7,28,47,65,89,94,97,100,104,137],"most":[8],"prominent":[9],"applications":[10],"of":[11,17,30,38,50,96,99,103],"Sensor":[12],"Networks":[13],"(SN).":[14],"The":[15],"quality":[16],"achieved":[19],"by":[20,26],"a":[21,32,36,61,70,121,142],"SN":[22],"can":[23,128],"be":[24],"quantified":[25],"evaluating":[27],"probability":[29,49,91],"detecting":[31],"mobile":[33,51],"target":[34,66,143],"crossing":[35],"Field":[37],"Interest":[39],"(FoI).":[40],"In":[41],"this":[42],"paper,":[43],"we":[44],"analytically":[45],"evaluate":[46,136],"targets":[52],"when":[53],"N":[54],"sensors":[55,105],"stochastically":[57],"deployed":[58],"to":[59,69,112,119],"monitor":[60],"Fol.":[62],"We":[63,86,134],"map":[64],"problem":[68,73],"line-set":[71],"intersection":[72],"derive":[75],"analytical":[76],"formulas":[77],"using":[78],"tools":[79],"from":[80],"Integral":[81],"Geometry":[82],"Geometric":[84],"Probability.":[85],"show":[87],"that":[88],"depends":[92],"on":[93],"length":[95],"perimeters":[98],"sensing":[101,123,132],"areas":[102],"not":[107],"their":[108],"shape.":[109],"Hence,":[110],"compared":[111],"prior":[113],"work,":[114],"our":[115],"formulation":[116],"allows":[117],"us":[118],"consider":[120],"heterogeneous":[122],"model,":[124],"where":[125],"each":[126],"sensor":[127],"have":[129],"an":[130],"arbitrary":[131],"area.":[133],"also":[135],"mean":[138],"free":[139],"path":[140],"until":[141],"is":[144],"first":[145],"detected.":[146]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":8}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}