{"id":"https://openalex.org/W2129951658","doi":"https://doi.org/10.1109/sahcn.2011.5984882","title":"Efficient network management for context-aware participatory sensing","display_name":"Efficient network management for context-aware participatory sensing","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2129951658","doi":"https://doi.org/10.1109/sahcn.2011.5984882","mag":"2129951658"},"language":"en","primary_location":{"id":"doi:10.1109/sahcn.2011.5984882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sahcn.2011.5984882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 8th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks","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/A5102923184","display_name":"Chi Harold Liu","orcid":"https://orcid.org/0000-0002-0252-329X"},"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"]},{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Chi Harold Liu","raw_affiliation_strings":["IBM Research China, Beijing, China","IBM Research China Beijing, China"],"affiliations":[{"raw_affiliation_string":"IBM Research China, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]},{"raw_affiliation_string":"IBM Research China Beijing, China","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029925982","display_name":"Pan Hui","orcid":"https://orcid.org/0000-0002-0848-2599"},"institutions":[{"id":"https://openalex.org/I4210093367","display_name":"Deutsche Telekom (Germany)","ror":"https://ror.org/00m8prc86","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210093367"]},{"id":"https://openalex.org/I58534130","display_name":"Deutsche Telekom (United Kingdom)","ror":"https://ror.org/00qxrgg46","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210093367","https://openalex.org/I58534130"]}],"countries":["DE","GB"],"is_corresponding":false,"raw_author_name":"Pan Hui","raw_affiliation_strings":["Deutsche Telekom Laboratories, Technical University Berlin, Berlin, Germany","Deutsche Telekom Laboratories: TU Berlin, Berlin, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Deutsche Telekom Laboratories, Technical University Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4210093367"]},{"raw_affiliation_string":"Deutsche Telekom Laboratories: TU Berlin, Berlin, Germany#TAB#","institution_ids":["https://openalex.org/I58534130"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074306411","display_name":"Joel W. Branch","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joel W. Branch","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Hawthorne, USA","IBM T. J. Watson Research Center, Hawthorne, U.S.A"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Hawthorne, USA","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM T. J. Watson Research Center, Hawthorne, U.S.A","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055515045","display_name":"Chatschik Bisdikian","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chatschik Bisdikian","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Hawthorne, USA","IBM T. J. Watson Research Center, Hawthorne, U.S.A"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Hawthorne, USA","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM T. J. Watson Research Center, Hawthorne, U.S.A","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003660890","display_name":"Bo Yang","orcid":"https://orcid.org/0000-0002-4931-2473"},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]},{"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":["CN","US"],"is_corresponding":false,"raw_author_name":"Bo Yang","raw_affiliation_strings":["IBM Research China, Beijing, China","IBM Research China Beijing, China"],"affiliations":[{"raw_affiliation_string":"IBM Research China, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]},{"raw_affiliation_string":"IBM Research China Beijing, China","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102923184"],"corresponding_institution_ids":["https://openalex.org/I1341412227","https://openalex.org/I4210126794"],"apc_list":null,"apc_paid":null,"fwci":6.7003,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.96583253,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"116","last_page":"124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9958999752998352,"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":0.9927999973297119,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7704968452453613},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6086299419403076},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.5005004405975342},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.47495412826538086},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4676384925842285},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.465432345867157},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4592568278312683},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.43370670080184937},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.33960598707199097},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2930607795715332},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.23327404260635376}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7704968452453613},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6086299419403076},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.5005004405975342},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.47495412826538086},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4676384925842285},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.465432345867157},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4592568278312683},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.43370670080184937},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.33960598707199097},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2930607795715332},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.23327404260635376},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/sahcn.2011.5984882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sahcn.2011.5984882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 8th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.378.5258","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.378.5258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.deutsche-telekom-laboratories.de/~panhui/publications/secon11sensing.pdf","raw_type":"text"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-54970","is_oa":false,"landing_page_url":"http://www.scopus.com/record/display.url?eid=2-s2.0-80052790875&origin=inward","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-54970","is_oa":false,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-54970","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1544513657","https://openalex.org/W1819896313","https://openalex.org/W1863907932","https://openalex.org/W1964882057","https://openalex.org/W2006825834","https://openalex.org/W2020240447","https://openalex.org/W2041628739","https://openalex.org/W2063650513","https://openalex.org/W2088940490","https://openalex.org/W2090127036","https://openalex.org/W2114771411","https://openalex.org/W2117788706","https://openalex.org/W2132288739","https://openalex.org/W2133668621","https://openalex.org/W2144169341","https://openalex.org/W2149124962","https://openalex.org/W2157762350","https://openalex.org/W2162343230","https://openalex.org/W2168463792","https://openalex.org/W2170265372","https://openalex.org/W2612385299","https://openalex.org/W3140649890","https://openalex.org/W4246021981","https://openalex.org/W6677013885","https://openalex.org/W6737181019"],"related_works":["https://openalex.org/W1521353230","https://openalex.org/W1596397513","https://openalex.org/W4280566261","https://openalex.org/W2394099118","https://openalex.org/W2087258916","https://openalex.org/W2739624643","https://openalex.org/W4229450262","https://openalex.org/W2089375346","https://openalex.org/W2314394688","https://openalex.org/W2088260668"],"abstract_inverted_index":{"Participatory":[0],"sensing":[1],"is":[2,72,84,94,116,124,152],"becoming":[3],"more":[4],"popular":[5],"with":[6,46,213,222,228],"the":[7,23,26,29,32,37,61,73,78,81,89,95,100,105,110,125,132,141,145,153,167,171,175,179,185,195,208,214,220],"help":[8],"of":[9,25,31,39,121,144,174,207],"sensor-embedded":[10],"smartphones":[11],"to":[12,59,88,108,117,140,163,166],"retrieve":[13],"context-aware":[14],"information":[15],"for":[16,22,42,148],"users.":[17],"However,":[18],"new":[19],"challenges":[20],"arise":[21],"maintenance":[24],"energy":[27,129,209],"supply,":[28],"support":[30],"quality-of-information":[33],"(QoI)":[34],"requirements,":[35],"and":[36,113,218],"generation":[38],"maximum":[40],"revenue":[41],"network":[43,56,106,180],"operator,":[44],"but":[45],"sparsely":[47],"research":[48],"exposure.":[49],"This":[50],"paper":[51],"proposes":[52],"a":[53,159],"novel":[54],"efficient":[55],"management":[57],"framework":[58,143],"tackle":[60],"above":[62,133],"challenges,":[63],"where":[64,77,99,131,194],"four":[65],"key":[66],"design":[67],"elements":[68],"are":[69,102,136],"introduced.":[70],"First":[71],"QoI":[74,79],"satisfaction":[75,97],"index,":[76,98],"benefit":[80],"queries":[82],"receive":[83],"quantified":[85],"in":[86],"relation":[87],"level":[90],"they":[91],"require.":[92],"Second":[93],"credit":[96],"credits":[101,165],"used":[103,137],"by":[104],"operator":[107],"motivate":[109],"user":[111],"participation,":[112],"this":[114],"index":[115],"quantify":[118],"its":[119],"degree":[120],"satisfaction.":[122],"Third":[123],"Gur":[126,146],"Game-based":[127],"distributed":[128,149],"control,":[130],"two":[134],"indexes":[135],"as":[138],"inputs":[139],"mathematical":[142],"Game":[147],"decision-making.":[150],"Fourth":[151],"dynamic":[154],"pricing":[155,176],"scheme,":[156],"based":[157],"on":[158],"constrained":[160],"optimization":[161],"problem":[162],"allocate":[164],"participants":[168],"while":[169],"minimizing":[170],"necessary":[172],"adaptation":[173],"scheme":[177,187,197],"from":[178],"operator.":[181],"We":[182],"finally":[183],"evaluate":[184],"proposed":[186,196],"under":[188],"an":[189],"event":[190],"occurrence":[191],"detection":[192,203],"scenario,":[193],"successfully":[198],"guarantees":[199],"less":[200],"than":[201],"7%":[202],"outage,":[204],"saves":[205],"80%":[206],"reserve":[210],"if":[211,226],"compared":[212,227],"lower":[215],"bound":[216],"solution,":[217],"achieves":[219],"suboptimum":[221],"only":[223],"4%":[224],"gap":[225],"optimal":[229],"solution.":[230]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}