{"id":"https://openalex.org/W2108865925","doi":"https://doi.org/10.1109/coase.2007.4341848","title":"Optimal Sensor Selection and Placement for Perimeter Defense","display_name":"Optimal Sensor Selection and Placement for Perimeter Defense","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W2108865925","doi":"https://doi.org/10.1109/coase.2007.4341848","mag":"2108865925"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2007.4341848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2007.4341848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Automation Science and Engineering","raw_type":"proceedings-article"},"type":"conference-paper","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/A5066105845","display_name":"Raju Mattikalli","orcid":null},"institutions":[{"id":"https://openalex.org/I1295339012","display_name":"Boeing (United States)","ror":"https://ror.org/04sm5zn07","country_code":"US","type":"company","lineage":["https://openalex.org/I1295339012"]},{"id":"https://openalex.org/I2801120396","display_name":"Boeing (Australia)","ror":"https://ror.org/0346ase89","country_code":"AU","type":"company","lineage":["https://openalex.org/I1295339012","https://openalex.org/I2801120396"]}],"countries":["AU","US"],"is_corresponding":false,"raw_author_name":"Raju Mattikalli","raw_affiliation_strings":["Boeing Aerospace Company, Seattle, WA, USA","Boeing Co., Seattle"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boeing Aerospace Company, Seattle, WA, USA","institution_ids":["https://openalex.org/I1295339012"]},{"raw_affiliation_string":"Boeing Co., Seattle","institution_ids":["https://openalex.org/I2801120396"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059530661","display_name":"Roman Fresnedo","orcid":null},"institutions":[{"id":"https://openalex.org/I1295339012","display_name":"Boeing (United States)","ror":"https://ror.org/04sm5zn07","country_code":"US","type":"company","lineage":["https://openalex.org/I1295339012"]},{"id":"https://openalex.org/I2801120396","display_name":"Boeing (Australia)","ror":"https://ror.org/0346ase89","country_code":"AU","type":"company","lineage":["https://openalex.org/I1295339012","https://openalex.org/I2801120396"]}],"countries":["AU","US"],"is_corresponding":false,"raw_author_name":"Roman Fresnedo","raw_affiliation_strings":["Boeing Aerospace Company, Seattle, WA, USA","Boeing Co., Seattle"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boeing Aerospace Company, Seattle, WA, USA","institution_ids":["https://openalex.org/I1295339012"]},{"raw_affiliation_string":"Boeing Co., Seattle","institution_ids":["https://openalex.org/I2801120396"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064057558","display_name":"Paul D. Frank","orcid":null},"institutions":[{"id":"https://openalex.org/I1295339012","display_name":"Boeing (United States)","ror":"https://ror.org/04sm5zn07","country_code":"US","type":"company","lineage":["https://openalex.org/I1295339012"]},{"id":"https://openalex.org/I2801120396","display_name":"Boeing (Australia)","ror":"https://ror.org/0346ase89","country_code":"AU","type":"company","lineage":["https://openalex.org/I1295339012","https://openalex.org/I2801120396"]}],"countries":["AU","US"],"is_corresponding":false,"raw_author_name":"Paul Frank","raw_affiliation_strings":["Boeing Aerospace Company, Seattle, WA, USA","Boeing Co., Seattle"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boeing Aerospace Company, Seattle, WA, USA","institution_ids":["https://openalex.org/I1295339012"]},{"raw_affiliation_string":"Boeing Co., Seattle","institution_ids":["https://openalex.org/I2801120396"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085593840","display_name":"Summer Locke","orcid":null},"institutions":[{"id":"https://openalex.org/I1295339012","display_name":"Boeing (United States)","ror":"https://ror.org/04sm5zn07","country_code":"US","type":"company","lineage":["https://openalex.org/I1295339012"]},{"id":"https://openalex.org/I2801120396","display_name":"Boeing (Australia)","ror":"https://ror.org/0346ase89","country_code":"AU","type":"company","lineage":["https://openalex.org/I1295339012","https://openalex.org/I2801120396"]}],"countries":["AU","US"],"is_corresponding":false,"raw_author_name":"Summer Locke","raw_affiliation_strings":["Boeing Aerospace Company, Seattle, WA, USA","Boeing Co., Seattle"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boeing Aerospace Company, Seattle, WA, USA","institution_ids":["https://openalex.org/I1295339012"]},{"raw_affiliation_string":"Boeing Co., Seattle","institution_ids":["https://openalex.org/I2801120396"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5097668542","display_name":"Zack Thunemann","orcid":null},"institutions":[{"id":"https://openalex.org/I1295339012","display_name":"Boeing (United States)","ror":"https://ror.org/04sm5zn07","country_code":"US","type":"company","lineage":["https://openalex.org/I1295339012"]},{"id":"https://openalex.org/I2801120396","display_name":"Boeing (Australia)","ror":"https://ror.org/0346ase89","country_code":"AU","type":"company","lineage":["https://openalex.org/I1295339012","https://openalex.org/I2801120396"]}],"countries":["AU","US"],"is_corresponding":false,"raw_author_name":"Zack Thunemann","raw_affiliation_strings":["Boeing Aerospace Company, Seattle, WA, USA","Boeing Co., Seattle"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boeing Aerospace Company, Seattle, WA, USA","institution_ids":["https://openalex.org/I1295339012"]},{"raw_affiliation_string":"Boeing Co., Seattle","institution_ids":["https://openalex.org/I2801120396"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"911","last_page":"918"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9973999857902527,"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":0.9955999851226807,"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/computer-science","display_name":"Computer science","score":0.6769048571586609},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5040401816368103},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4584590494632721},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.42641279101371765},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.42571505904197693},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4242706000804901},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4201074540615082},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36316394805908203},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3078176975250244},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1606324017047882}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6769048571586609},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5040401816368103},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4584590494632721},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.42641279101371765},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42571505904197693},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4242706000804901},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4201074540615082},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36316394805908203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3078176975250244},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1606324017047882},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2007.4341848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2007.4341848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Automation Science and Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W81474395","https://openalex.org/W170218071","https://openalex.org/W191480681","https://openalex.org/W291003596","https://openalex.org/W1594331830","https://openalex.org/W1639032689","https://openalex.org/W1988837529","https://openalex.org/W1991142852","https://openalex.org/W1994072439","https://openalex.org/W2015706819","https://openalex.org/W2047198713","https://openalex.org/W2062569227","https://openalex.org/W2063442090","https://openalex.org/W2087422927","https://openalex.org/W2091674427","https://openalex.org/W2092450788","https://openalex.org/W2094658339","https://openalex.org/W2097741340","https://openalex.org/W2100430744","https://openalex.org/W2108299551","https://openalex.org/W2108865925","https://openalex.org/W2111609524","https://openalex.org/W2112953516","https://openalex.org/W2116854100","https://openalex.org/W2128917116","https://openalex.org/W2134347889","https://openalex.org/W2148134592","https://openalex.org/W3023540311","https://openalex.org/W3173138228","https://openalex.org/W6677404244"],"related_works":["https://openalex.org/W4399671601","https://openalex.org/W1992962589","https://openalex.org/W3032871857","https://openalex.org/W1743191351","https://openalex.org/W3104633800","https://openalex.org/W3023567978","https://openalex.org/W3044778482","https://openalex.org/W3040494141","https://openalex.org/W1977229594","https://openalex.org/W2535060393"],"abstract_inverted_index":{"This":[0,133],"paper":[1],"describes":[2],"analytical":[3],"methods":[4,109,152],"for":[5,107],"selecting":[6],"and":[7,15,24,84,120,143,161],"positioning":[8,102,138],"sensors":[9,23,83],"on":[10,30,72],"terrain":[11,119],"to":[12,164,167],"detect,":[13],"classify":[14],"locate":[16],"events":[17],"of":[18,22,51,63,115,123,131],"interest.":[19],"Our":[20,74],"choice":[21],"their":[25],"time-invariant":[26],"locations":[27],"is":[28,35,85,94],"based":[29,71],"obtaining":[31],"measured":[32],"data":[33],"that":[34,66],"most":[36],"informative":[37],"about":[38],"the":[39,49,52,59,78,82,89,112,121,128,135,169],"event.":[40],"We":[41,145],"adopt":[42],"a":[43],"novel":[44,162],"system-based":[45],"approach\u03bcminimize":[46],"not":[47],"simply":[48],"uncertainty":[50],"sensor":[53,101,116,137],"system's":[54,90],"output,":[55],"but":[56],"rather":[57],"minimize":[58],"<i":[60],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[61],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">risk":[62],"poor":[64],"performance</i>":[65],"arises":[67],"from":[68,111,118],"decisions":[69],"made":[70],"it.":[73],"decision":[75,98],"function":[76],"combines":[77],"information":[79],"provided":[80],"by":[81,87],"constructed":[86],"minimizing":[88],"posterior":[91],"loss;":[92],"it":[93],"therefore":[95],"an":[96],"optimal":[97,136],"function.":[99],"The":[100],"problem":[103,139,165],"presents":[104],"several":[105,148],"challenges":[106],"optimization":[108,171],"arising":[110],"intricate":[113],"nature":[114],"occlusion":[117],"introduction":[122],"discrete":[124],"variables":[125],"such":[126],"as":[127],"minimum":[129],"number":[130],"sensors.":[132],"renders":[134],"highly":[140],"nonlinear,":[141],"nonsmooth,":[142],"multi-modal.":[144],"will":[146],"discuss":[147],"techniques,":[149,158],"including":[150],"metaheuristic":[151],"in":[153],"combination":[154],"with":[155],"\"grid":[156],"refinement\"":[157],"response-model-based":[159],"methods,":[160],"modifications":[163],"objectives":[166],"handle":[168],"above":[170],"challenges.":[172]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
