{"id":"https://openalex.org/W2120787649","doi":"https://doi.org/10.1145/1218556.1218558","title":"Modeling spatially correlated data in sensor networks","display_name":"Modeling spatially correlated data in sensor networks","publication_year":2006,"publication_date":"2006-11-01","ids":{"openalex":"https://openalex.org/W2120787649","doi":"https://doi.org/10.1145/1218556.1218558","mag":"2120787649"},"language":"en","primary_location":{"id":"doi:10.1145/1218556.1218558","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1218556.1218558","pdf_url":null,"source":{"id":"https://openalex.org/S170502224","display_name":"ACM Transactions on Sensor Networks","issn_l":"1550-4859","issn":["1550-4859","1550-4867"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Sensor Networks","raw_type":"journal-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/A5075724726","display_name":"Apoorva Jindal","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Apoorva Jindal","raw_affiliation_strings":["University of Southern California, Los Angeles, CA","University of Southern California,,,Los Angeles,CA,"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"University of Southern California,,,Los Angeles,CA,","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042745248","display_name":"Konstantinos Psounis","orcid":"https://orcid.org/0000-0002-6342-1078"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Konstantinos Psounis","raw_affiliation_strings":["University of Southern California, Los Angeles, CA","University of Southern California,,,Los Angeles,CA,"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"University of Southern California,,,Los Angeles,CA,","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075724726"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":9.1458,"has_fulltext":false,"cited_by_count":129,"citation_normalized_percentile":{"value":0.97996825,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"2","issue":"4","first_page":"466","last_page":"499"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9902999997138977,"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":0.9902999997138977,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9796000123023987,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9754999876022339,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8086971044540405},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6927183270454407},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.6862950921058655},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5158883333206177},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4945032298564911},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4784662425518036},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.468230664730072},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4658929109573364},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.44218340516090393},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.4275647699832916},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42680564522743225},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4230804443359375}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8086971044540405},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6927183270454407},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.6862950921058655},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5158883333206177},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4945032298564911},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4784662425518036},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.468230664730072},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4658929109573364},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.44218340516090393},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.4275647699832916},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42680564522743225},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4230804443359375},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/1218556.1218558","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1218556.1218558","pdf_url":null,"source":{"id":"https://openalex.org/S170502224","display_name":"ACM Transactions on Sensor Networks","issn_l":"1550-4859","issn":["1550-4859","1550-4867"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Sensor Networks","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.110.501","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.110.501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-rcf.usc.edu/~kpsounis/EE650/Readlist07/Papers07/apoorvatosn.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.112.2934","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.112.2934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-rcf.usc.edu/~kpsounis/Papers/sensordatacorr_journal.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.214.1911","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.1911","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ee.usc.edu/research/netpd/assets/001/58486.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6"},{"score":0.41999998688697815,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W153537929","https://openalex.org/W419552243","https://openalex.org/W1504271241","https://openalex.org/W1513618424","https://openalex.org/W1523622246","https://openalex.org/W1523683416","https://openalex.org/W1542464532","https://openalex.org/W1558875883","https://openalex.org/W1573376668","https://openalex.org/W1651266332","https://openalex.org/W1996935029","https://openalex.org/W2027682573","https://openalex.org/W2059814274","https://openalex.org/W2066435779","https://openalex.org/W2097995023","https://openalex.org/W2099111195","https://openalex.org/W2099859041","https://openalex.org/W2109742777","https://openalex.org/W2110173519","https://openalex.org/W2114124631","https://openalex.org/W2117538122","https://openalex.org/W2117606851","https://openalex.org/W2119125755","https://openalex.org/W2120084270","https://openalex.org/W2133304743","https://openalex.org/W2143022286","https://openalex.org/W2147768979","https://openalex.org/W2149304339","https://openalex.org/W2151157922","https://openalex.org/W2152315338","https://openalex.org/W2163144244","https://openalex.org/W2163661874","https://openalex.org/W2168125414","https://openalex.org/W2289748525","https://openalex.org/W2496675188","https://openalex.org/W2573715514","https://openalex.org/W2714497087","https://openalex.org/W3138949179","https://openalex.org/W4250397849","https://openalex.org/W4253041633","https://openalex.org/W4298862023","https://openalex.org/W4301281442","https://openalex.org/W4376526089","https://openalex.org/W4388284198"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W41015297"],"abstract_inverted_index":{"The":[0,166,207],"physical":[1],"phenomena":[2],"monitored":[3],"by":[4,173,185,253],"sensor":[5,35,103,218,221],"networks,":[6],"for":[7,77,84],"example,":[8],"forest":[9],"temperature":[10],"or":[11,128],"water":[12],"contamination,":[13],"usually":[14],"yield":[15],"sensed":[16],"data":[17,58,117],"that":[18,40,223,228,248],"are":[19,210],"strongly":[20],"correlated":[21,57,102],"in":[22,26,110,116,200],"space.":[23],"With":[24],"this":[25],"mind,":[27],"researchers":[28,254],"have":[29],"designed":[30],"a":[31,60,74,95,133,138,160],"large":[32,53],"number":[33,124],"of":[34,55,63,70,100,119,125,168,189,197,259,264],"network":[36,104],"protocols":[37],"and":[38,97,112,137,177,204,220,235,262],"algorithms":[39,190],"attempt":[41],"to":[42,50,65,93,142,154,255],"exploit":[43],"such":[44],"correlations.There":[45],"is":[46,108,171,183,232],"an":[47],"increasing":[48],"need":[49],"synthetically":[51,256],"generate":[52,156,257],"traces":[54,80,158,209,258],"spatially":[56,101],"representing":[59],"wide":[61],"range":[62],"conditions":[64],"carefully":[66],"study":[67],"the":[68,120,123,129,144,169,181,187,195,229,238],"performance":[69,188],"these":[71,164],"algorithms.":[72,88],"Further,":[73,180],"mathematical":[75,135],"model":[76,99,107,145,170,182,231],"generating":[78],"synthetic":[79,157,176,205],"would":[81],"provide":[82],"guidelines":[83],"designing":[85],"more":[86,233],"efficient":[87],"These":[89],"reasons":[90],"motivate":[91],"us":[92],"obtain":[94],"simple":[96,139],"accurate":[98,236],"data.The":[105],"proposed":[106,230],"Markovian":[109],"nature":[111],"can":[113,249],"capture":[114],"correlation":[115,199],"irrespective":[118],"node":[121],"density,":[122],"source":[126],"nodes,":[127],"topology.":[130],"We":[131,150,226],"describe":[132],"rigorous":[134],"procedure":[136],"practical":[140],"method":[141],"extract":[143],"parameters":[146],"from":[147,212],"real":[148,178,203,208],"traces.":[149,206],"also":[151],"show":[152,227],"how":[153],"efficiently":[155],"on":[159,194],"given":[161],"topology":[162],"using":[163],"parameters.":[165],"correctness":[167],"verified":[172],"statistically":[174],"comparing":[175,186],"data.":[179],"validated":[184],"whose":[191],"behavior":[192],"depends":[193],"degree":[196,263],"spatial":[198],"data,":[201,215,219],"under":[202],"obtained":[211],"remote":[213],"sensing":[214],"publicly":[216],"available":[217],"networks":[222],"we":[224,245],"deploy.":[225],"general":[234],"than":[237],"commonly":[239],"used":[240,252],"jointly":[241],"Gaussian":[242],"model.":[243],"Finally,":[244],"create":[246],"tools":[247],"be":[250],"easily":[251],"any":[260],"size":[261],"correlation.":[265]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":12},{"year":2012,"cited_by_count":14}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
