{"id":"https://openalex.org/W2124130398","doi":"https://doi.org/10.1109/cdc.2007.4434040","title":"Robust and distributed localization in sensor networks","display_name":"Robust and distributed localization in sensor networks","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2124130398","doi":"https://doi.org/10.1109/cdc.2007.4434040","mag":"2124130398"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2007.4434040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2007.4434040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 46th IEEE Conference on Decision and Control","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/A5075696701","display_name":"Ioannis Ch. Paschalidis","orcid":"https://orcid.org/0000-0002-3343-2913"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ioannis Ch. Paschalidis","raw_affiliation_strings":["Center for Information & Systems Eng., and Department of Manufacturing Eng, Boston University, Brookline, MA, USA"],"affiliations":[{"raw_affiliation_string":"Center for Information & Systems Eng., and Department of Manufacturing Eng, Boston University, Brookline, MA, USA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100780954","display_name":"Dong Guo","orcid":"https://orcid.org/0000-0003-4475-9847"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Guo","raw_affiliation_strings":["Information & Systems Eng, Boston University, USA"],"affiliations":[{"raw_affiliation_string":"Information & Systems Eng, Boston University, USA","institution_ids":["https://openalex.org/I111088046"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075696701"],"corresponding_institution_ids":["https://openalex.org/I111088046"],"apc_list":null,"apc_paid":null,"fwci":1.9253,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.87465433,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"933","last_page":"938"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.9883000254631042,"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":0.7292569875717163},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.7257503271102905},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.7181457877159119},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.6430637836456299},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5071916580200195},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.47104644775390625},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3428570628166199},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33579400181770325},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32981908321380615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2158510386943817},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15306663513183594},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11395448446273804}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7292569875717163},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.7257503271102905},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7181457877159119},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.6430637836456299},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5071916580200195},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.47104644775390625},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3428570628166199},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33579400181770325},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32981908321380615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2158510386943817},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15306663513183594},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11395448446273804},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc.2007.4434040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2007.4434040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 46th IEEE Conference on Decision and Control","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1991315500","https://openalex.org/W2059120410","https://openalex.org/W2127904409","https://openalex.org/W2163178840","https://openalex.org/W4246098931","https://openalex.org/W4301258660"],"related_works":["https://openalex.org/W2883256816","https://openalex.org/W2171408034","https://openalex.org/W3003320923","https://openalex.org/W2106140982","https://openalex.org/W2152313554","https://openalex.org/W2064303750","https://openalex.org/W4285042611","https://openalex.org/W1509300825","https://openalex.org/W3092582874","https://openalex.org/W2477720232"],"abstract_inverted_index":{"We":[0,100,119,143,167],"present":[1],"a":[2,35,73,94,114,134,160,178,191],"robust":[3],"localization":[4,91,172],"system":[5,28,173],"allowing":[6],"Wireless":[7],"Sensor":[8],"Networks":[9],"(WSNETs)":[10],"to":[11,30,85,125,151],"determine":[12],"the":[13,27,32,56,60,65,90,105,121,127,139,145,153,164,171],"physical":[14],"location":[15],"of":[16,55,75,130,147,156],"their":[17],"nodes.":[18],"The":[19,185],"coverage":[20],"area":[21],"is":[22,111,188],"split":[23],"into":[24],"partitions":[25],"and":[26,51,62,88,132,158],"seeks":[29],"identify":[31],"partition":[33],"where":[34],"sensor":[36,61],"resides":[37],"based":[38],"on":[39],"observations":[40,47,82],"made":[41],"by":[42,59,64,181],"stationary":[43],"sensors":[44],"(clusterheads).":[45],"These":[46],"are":[48,52,83],"assumed":[49,84],"random":[50],"often":[53],"RF-characteristics":[54],"signal":[57],"transmitted":[58],"received":[63],"clusterheads.":[66],"To":[67],"every":[68],"partition-clusterhead":[69],"pair":[70],"we":[71],"associate":[72],"family":[74],"probability":[76,129,155],"density":[77],"functions":[78],"(pdfs)":[79],"from":[80],"which":[81,104],"be":[86,175],"drawn":[87],"pose":[89],"problem":[92,146],"as":[93],"composite":[95],"multi-":[96],"hypothesis":[97],"testing":[98],"problem.":[99],"establish":[101,133,159],"conditions":[102],"under":[103],"Generalized":[106,115],"Likelihood":[107],"Ratio":[108],"Test":[109],"(GLRT)":[110],"optimal":[112,122,165],"in":[113,177,190],"Neyman-Pearson":[116],"(GNP)":[117],"sense.":[118],"obtain":[120],"GLRT":[123],"threshold":[124],"minimize":[126,152],"maximum":[128,154],"error":[131,157],"probabilistic":[135],"performance":[136,161],"guarantee":[137,162],"for":[138,163],"resulting":[140],"decision":[141],"rule.":[142],"study":[144],"optimally":[148],"placing":[149],"clusterheads":[150],"placement.":[166],"also":[168],"demonstrate":[169],"how":[170],"can":[174],"implemented":[176],"distributed":[179],"manner":[180],"appropriate":[182],"in-network":[183],"processing.":[184],"proposed":[186],"approach":[187],"validated":[189],"testbed":[192],"yielding":[193],"promising":[194],"results.":[195]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}