{"id":"https://openalex.org/W2011757451","doi":"https://doi.org/10.1145/2386958.2386965","title":"Optimal sensing using query arrival distributions","display_name":"Optimal sensing using query arrival distributions","publication_year":2012,"publication_date":"2012-10-21","ids":{"openalex":"https://openalex.org/W2011757451","doi":"https://doi.org/10.1145/2386958.2386965","mag":"2011757451"},"language":"en","primary_location":{"id":"doi:10.1145/2386958.2386965","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2386958.2386965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the second ACM international symposium on Design and analysis of intelligent vehicular networks and applications","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/A5112040807","display_name":"Debojit Dhar","orcid":null},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Debojit Dhar","raw_affiliation_strings":["The University of British Columbia, Vancouver, BC, Canada",", The University of British Columbia, Vancouver, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of British Columbia, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]},{"raw_affiliation_string":", The University of British Columbia, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104230673","display_name":"Sathish Gopalakrishnan","orcid":null},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sathish Gopalakrishnan","raw_affiliation_strings":["The University of British Columbia, Vancouver, BC, Canada",", The University of British Columbia, Vancouver, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of British Columbia, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]},{"raw_affiliation_string":", The University of British Columbia, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034513790","display_name":"Karim Rostamzadeh","orcid":null},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Karim Rostamzadeh","raw_affiliation_strings":["The University of British Columbia, Vancouver, BC, Canada",", The University of British Columbia, Vancouver, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of British Columbia, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]},{"raw_affiliation_string":", The University of British Columbia, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I141945490"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"39","last_page":"46"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9997000098228455,"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":0.9997000098228455,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9952999949455261,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9952999949455261,"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/computer-science","display_name":"Computer science","score":0.835026204586029},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.654064416885376},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5896939635276794},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49761560559272766},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.41748833656311035},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3625388741493225}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.835026204586029},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.654064416885376},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5896939635276794},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49761560559272766},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.41748833656311035},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3625388741493225},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2386958.2386965","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2386958.2386965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the second ACM international symposium on Design and analysis of intelligent vehicular networks and applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.7699999809265137,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1598711931","https://openalex.org/W2019445365","https://openalex.org/W2061115570","https://openalex.org/W2111682107","https://openalex.org/W2114596651","https://openalex.org/W2118487515","https://openalex.org/W2121987136","https://openalex.org/W2128153609","https://openalex.org/W2131154903","https://openalex.org/W2141325686","https://openalex.org/W2151250495","https://openalex.org/W2152204204","https://openalex.org/W2154552486","https://openalex.org/W2154721480","https://openalex.org/W2155145624","https://openalex.org/W2155919085","https://openalex.org/W2156249506","https://openalex.org/W2170918595","https://openalex.org/W2899702797","https://openalex.org/W3003247736","https://openalex.org/W3096276665","https://openalex.org/W6631189298"],"related_works":["https://openalex.org/W2770593030","https://openalex.org/W3154990682","https://openalex.org/W2560201613","https://openalex.org/W2006459955","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W4312219546","https://openalex.org/W1819934925","https://openalex.org/W2377538627","https://openalex.org/W2107220315"],"abstract_inverted_index":{"We":[0,108,144],"examine":[1],"optimal":[2,83,105,111,142],"strategies":[3,112,134],"for":[4,24,32,150],"sampling":[5,68,85,106,133],"and":[6,13,43,172],"querying":[7],"a":[8],"sensing":[9,152],"system":[10,72,153,179],"when":[11],"energy":[12],"data":[14,28,41,84],"freshness":[15],"need":[16],"to":[17,39,49,102,127,165,176],"be":[18,37,47,114,174],"balanced.":[19],"This":[20],"approach":[21],"is":[22,123,157,170,184],"useful":[23],"planning":[25],"algorithms":[26,35],"utilizing":[27],"from":[29],"vehicular":[30],"networks,":[31],"example.":[33],"These":[34],"may":[36],"robust":[38],"some":[40],"staleness":[42],"this":[44,128],"robustness":[45],"can":[46,113,173],"used":[48,175],"save":[50],"energy.":[51],"Our":[52,168],"model":[53,169,177],"relies":[54],"on":[55,63],"the":[56,89,121,141,147,151],"statistical":[57],"distribution":[58],"of":[59,77,160],"user":[60,78],"queries":[61],"depending":[62],"which":[64,87,135,183],"we":[65,80,99,130,163],"develop":[66,81],"sensor":[67],"schedules":[69],"while":[70],"optimizing":[71],"cost.":[73],"For":[74,94],"Poisson":[75],"arrivals":[76],"queries,":[79],"an":[82,104],"strategy":[86],"samples":[88],"network":[90],"at":[91],"regular":[92],"intervals.":[93],"hyper-exponential":[95],"query":[96],"inter":[97],"arrivals,":[98],"discuss":[100],"methods":[101],"find":[103],"strategy.":[107,143],"show":[109],"that":[110,155,180],"discovered":[115],"using":[116],"dynamic":[117],"programming":[118],"techniques":[119],"but":[120],"process":[122],"highly":[124],"computational.":[125],"Due":[126],"reason,":[129],"suggest":[131],"suboptimal":[132],"are":[136],"nearly":[137],"as":[138,140],"efficient":[139],"carefully":[145],"design":[146],"cost":[148],"function":[149],"such":[154],"it":[156],"truly":[158],"representative":[159],"most":[161],"platforms":[162],"want":[164],"optimize":[166],"for.":[167],"generic":[171],"any":[178],"aggregates":[181],"information":[182],"then":[185],"queried":[186],"in":[187],"real-time":[188],"by":[189],"users.":[190]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
