{"id":"https://openalex.org/W2783353422","doi":"https://doi.org/10.1109/bigdata.2017.8258502","title":"Distributed wireless sensing for fugitive methane leak detection","display_name":"Distributed wireless sensing for fugitive methane leak detection","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2783353422","doi":"https://doi.org/10.1109/bigdata.2017.8258502","mag":"2783353422"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2017.8258502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8258502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.osti.gov/biblio/1409489","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023556527","display_name":"Levente J. Klein","orcid":"https://orcid.org/0000-0001-9497-1403"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Levente J. Klein","raw_affiliation_strings":["IBM TJ Watson Research Center, Yorktown Heights, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM TJ Watson Research Center, Yorktown Heights, NY","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049117088","display_name":"Theodore van Kessel","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Theodore van Kessel","raw_affiliation_strings":["IBM TJ Watson Research Center, Yorktown Heights, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM TJ Watson Research Center, Yorktown Heights, NY","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043864145","display_name":"Dhruv Nair","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dhruv Nair","raw_affiliation_strings":["IBM TJ Watson Research Center, Yorktown Heights, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM TJ Watson Research Center, Yorktown Heights, NY","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062305925","display_name":"Ramachandran Muralidhar","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ramachandran Muralidhar","raw_affiliation_strings":["IBM TJ Watson Research Center, Yorktown Heights, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM TJ Watson Research Center, Yorktown Heights, NY","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075934845","display_name":"Nigel Hinds","orcid":"https://orcid.org/0000-0002-3463-9828"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nigel Hinds","raw_affiliation_strings":["IBM TJ Watson Research Center, Yorktown Heights, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM TJ Watson Research Center, Yorktown Heights, NY","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048701479","display_name":"Hendrik F. Hamann","orcid":"https://orcid.org/0000-0001-9049-1330"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hendrik Hamann","raw_affiliation_strings":["IBM TJ Watson Research Center, Yorktown Heights, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM TJ Watson Research Center, Yorktown Heights, NY","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062451085","display_name":"Norma Sosa","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Norma Sosa","raw_affiliation_strings":["IBM TJ Watson Research Center, Yorktown Heights, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM TJ Watson Research Center, Yorktown Heights, NY","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9251,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.74783397,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4583","last_page":"4591"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.9879999756813049,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.7442644834518433},{"id":"https://openalex.org/keywords/leak","display_name":"Leak","score":0.7317935228347778},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.6121702194213867},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5742231607437134},{"id":"https://openalex.org/keywords/methane","display_name":"Methane","score":0.5514911413192749},{"id":"https://openalex.org/keywords/leak-detection","display_name":"Leak detection","score":0.5236905813217163},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5076216459274292},{"id":"https://openalex.org/keywords/resistive-touchscreen","display_name":"Resistive touchscreen","score":0.47866925597190857},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.43465977907180786},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.29281625151634216},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.19406872987747192},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1309126615524292}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7442644834518433},{"id":"https://openalex.org/C2780378346","wikidata":"https://www.wikidata.org/wiki/Q1349983","display_name":"Leak","level":2,"score":0.7317935228347778},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.6121702194213867},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5742231607437134},{"id":"https://openalex.org/C516920438","wikidata":"https://www.wikidata.org/wiki/Q37129","display_name":"Methane","level":2,"score":0.5514911413192749},{"id":"https://openalex.org/C2987355568","wikidata":"https://www.wikidata.org/wiki/Q4420957","display_name":"Leak detection","level":3,"score":0.5236905813217163},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5076216459274292},{"id":"https://openalex.org/C6899612","wikidata":"https://www.wikidata.org/wiki/Q852911","display_name":"Resistive touchscreen","level":2,"score":0.47866925597190857},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.43465977907180786},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.29281625151634216},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.19406872987747192},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1309126615524292},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata.2017.8258502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8258502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:osti.gov:1409489","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1409489","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:osti.gov:1409489","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1409489","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1994665958","https://openalex.org/W1998693527","https://openalex.org/W2018087982","https://openalex.org/W2027281287","https://openalex.org/W2030293048","https://openalex.org/W2048350701","https://openalex.org/W2091397950","https://openalex.org/W2127949150","https://openalex.org/W2130590018","https://openalex.org/W2137622216","https://openalex.org/W2179364418","https://openalex.org/W2195583399","https://openalex.org/W2202100984","https://openalex.org/W2416799949","https://openalex.org/W2418013334","https://openalex.org/W2481474605","https://openalex.org/W2506132648","https://openalex.org/W2520480241","https://openalex.org/W2586478707","https://openalex.org/W2607751630","https://openalex.org/W2610241640","https://openalex.org/W2621452375","https://openalex.org/W2992832103","https://openalex.org/W3043509850","https://openalex.org/W4210428686","https://openalex.org/W6771175803"],"related_works":["https://openalex.org/W2089419128","https://openalex.org/W2357422790","https://openalex.org/W1968766800","https://openalex.org/W1553563528","https://openalex.org/W2271340062","https://openalex.org/W2356864307","https://openalex.org/W4389695218","https://openalex.org/W2371267147","https://openalex.org/W2391748782","https://openalex.org/W2152530389"],"abstract_inverted_index":{"Large":[0],"scale":[1],"environmental":[2],"monitoring":[3,141],"requires":[4],"dynamic":[5],"optimization":[6],"of":[7,14,25,32,44,88,121,142,146],"data":[8,53,67],"transmission,":[9],"power":[10],"management,":[11],"and":[12,46,49,54,78,86,114,126,148],"distribution":[13],"the":[15,23,52,58,84],"computational":[16],"load.":[17],"In":[18],"this":[19],"work,":[20],"we":[21],"demonstrate":[22],"use":[24],"a":[26,134],"wireless":[27],"sensor":[28,41,65],"network":[29,42,66],"for":[30,60,137],"detection":[31],"chemical":[33],"leaks":[34,110],"on":[35],"gas":[36],"oil":[37],"well":[38,93],"pads.":[39],"The":[40,64],"consist":[43],"chemi-resistive":[45],"wind":[47],"sensors":[48,108],"aggregates":[50],"all":[51],"transmits":[55],"it":[56],"to":[57,74,132],"cloud":[59],"further":[61],"analytics":[62,127],"processing.":[63],"is":[68,99,129],"integrated":[69,124],"with":[70,106,118],"an":[71,119],"inversion":[72],"model":[73],"identify":[75],"leak":[76,80,116],"location":[77],"quantify":[79],"rates.":[81],"We":[82],"characterize":[83],"sensitivity":[85],"accuracy":[87,120],"such":[89],"system":[90,136],"under":[91],"multiple":[92],"controlled":[94],"methane":[95,143],"release":[96],"experiments.":[97],"It":[98],"demonstrated":[100],"that":[101],"even":[102],"1":[103,112],"hour":[104],"measurement":[105],"10":[107],"localizes":[109],"within":[111],"m":[113],"determines":[115],"rate":[117],"40%.":[122],"This":[123],"sensing":[125],"solution":[128],"currently":[130],"refined":[131],"be":[133],"robust":[135],"long":[138],"term":[139],"remote":[140],"leaks,":[144],"generation":[145],"alarms,":[147],"tracking":[149],"regulatory":[150],"compliance.":[151]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}