{"id":"https://openalex.org/W2988535386","doi":"https://doi.org/10.1145/3356250.3361943","title":"System for vehicle selection in drive-by sensing","display_name":"System for vehicle selection in drive-by sensing","publication_year":2019,"publication_date":"2019-11-05","ids":{"openalex":"https://openalex.org/W2988535386","doi":"https://doi.org/10.1145/3356250.3361943","mag":"2988535386"},"language":"en","primary_location":{"id":"doi:10.1145/3356250.3361943","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3356250.3361943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th Conference on Embedded Networked Sensor Systems","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/A5014154126","display_name":"D. P. Agarwal","orcid":"https://orcid.org/0000-0002-1090-3583"},"institutions":[{"id":"https://openalex.org/I347237974","display_name":"Ashoka University","ror":"https://ror.org/02j1xr113","country_code":"IN","type":"education","lineage":["https://openalex.org/I347237974"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dhruv Agarwal","raw_affiliation_strings":["Ashoka University, Sonipat, Haryana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ashoka University, Sonipat, Haryana, India","institution_ids":["https://openalex.org/I347237974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061869647","display_name":"Srinivasan Iyengar","orcid":"https://orcid.org/0000-0001-6112-5534"},"institutions":[{"id":"https://openalex.org/I4210124949","display_name":"Microsoft Research (India)","ror":"https://ror.org/02w7f3w92","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Srinivasan Iyengar","raw_affiliation_strings":["Microsoft Research India, Bangalore, Karnataka, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research India, Bangalore, Karnataka, India","institution_ids":["https://openalex.org/I4210124949"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107913584","display_name":"Manohar Swaminathan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124949","display_name":"Microsoft Research (India)","ror":"https://ror.org/02w7f3w92","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manohar Swaminathan","raw_affiliation_strings":["Microsoft Research India, Bangalore, Karnataka, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research India, Bangalore, Karnataka, India","institution_ids":["https://openalex.org/I4210124949"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.286,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50866824,"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":"438","last_page":"439"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9994999766349792,"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":0.9994999766349792,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9943000078201294,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/software-deployment","display_name":"Software deployment","score":0.888575553894043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7279448509216309},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5742576718330383},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5386431217193604},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4261779189109802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21233534812927246},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.07915690541267395}],"concepts":[{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.888575553894043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7279448509216309},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5742576718330383},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5386431217193604},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4261779189109802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21233534812927246},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.07915690541267395},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3356250.3361943","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3356250.3361943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1890688605","https://openalex.org/W1933856690","https://openalex.org/W2091701986","https://openalex.org/W2144169341","https://openalex.org/W2168463792","https://openalex.org/W2763288875","https://openalex.org/W2884934420"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W1567818861","https://openalex.org/W2987774938","https://openalex.org/W4256492088","https://openalex.org/W632915154"],"abstract_inverted_index":{"Drive-by":[0],"sensing":[1,11,60],"has":[2],"emerged":[3],"as":[4,63],"a":[5,22,26,31,36,75],"popular":[6],"way":[7],"to":[8,18,28,58,77,126],"achieve":[9],"fine-grained":[10],"of":[12,33,46,85,100,130],"physical":[13],"phenomena.":[14],"However,":[15],"for":[16,67,87,118],"it":[17],"be":[19],"effective":[20],"at":[21],"city-scale,":[23],"there":[24],"is":[25],"need":[27],"optimally":[29],"select":[30],"subset":[32],"vehicles":[34,42,86],"from":[35],"larger":[37],"available":[38],"fleet.":[39],"These":[40],"chosen":[41],"must":[43,52],"maximize":[44],"coverage":[45,80,125],"the":[47,59,79,128],"entire":[48],"city.":[49],"Simultaneously,":[50],"they":[51],"fulfill":[53],"other":[54],"deployment":[55,89],"requirements":[56],"specific":[57],"application":[61],"such":[62],"reference-monitor":[64],"colocation":[65],"instances":[66],"gas":[68],"sensors.":[69],"In":[70],"this":[71],"paper,":[72],"we":[73,121],"describe":[74],"system":[76,97],"evaluate":[78],"offered":[81],"by":[82],"different":[83,101,131],"subsets":[84],"sensor":[88],"based":[90],"on":[91],"historical":[92],"vehicle":[93,102,132],"mobility":[94],"data.":[95],"Our":[96],"allows":[98],"evaluation":[99],"selection":[103],"algorithms,":[104],"and":[105,114],"also":[106],"provides":[107],"two":[108],"in-built":[109],"baselines":[110],"---":[111,117],"i)":[112],"Random-MP,":[113],"ii)":[115],"MaxPoints":[116],"comparison.":[119],"Finally,":[120],"provide":[122],"visualizations":[123],"showing":[124],"gauge":[127],"efficacy":[129],"selections.":[133]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}