{"id":"https://openalex.org/W2955213479","doi":"https://doi.org/10.1109/vtcspring.2019.8746495","title":"Crowdedness Estimation Using RSSI on Already-Deployed Wireless Sensor Networks","display_name":"Crowdedness Estimation Using RSSI on Already-Deployed Wireless Sensor Networks","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2955213479","doi":"https://doi.org/10.1109/vtcspring.2019.8746495","mag":"2955213479"},"language":"en","primary_location":{"id":"doi:10.1109/vtcspring.2019.8746495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2019.8746495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)","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/A5100621487","display_name":"Naoya Matsumoto","orcid":"https://orcid.org/0000-0002-4887-6920"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoya Matsumoto","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065121587","display_name":"Jiei Kawasaki","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jiei Kawasaki","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100765725","display_name":"Makoto Suzuki","orcid":"https://orcid.org/0000-0002-0981-6095"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Makoto Suzuki","raw_affiliation_strings":["Sonas Corporation, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sonas Corporation, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001123770","display_name":"Shunsuke Saruwatari","orcid":"https://orcid.org/0000-0002-1625-5521"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shunsuke Saruwatari","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046987979","display_name":"Takashi Watanabe","orcid":"https://orcid.org/0000-0002-3227-9048"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Watanabe","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"802","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9919000267982483,"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":0.9876000285148621,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.7310096025466919},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6953564286231995},{"id":"https://openalex.org/keywords/received-signal-strength-indication","display_name":"Received signal strength indication","score":0.679790735244751},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6508076190948486},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5837857723236084},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.580337643623352},{"id":"https://openalex.org/keywords/signal-strength","display_name":"Signal strength","score":0.4697195589542389},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4347781240940094},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.42324477434158325},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23328441381454468},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1960952877998352}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7310096025466919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6953564286231995},{"id":"https://openalex.org/C2778913798","wikidata":"https://www.wikidata.org/wiki/Q1195672","display_name":"Received signal strength indication","level":3,"score":0.679790735244751},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6508076190948486},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5837857723236084},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.580337643623352},{"id":"https://openalex.org/C176808163","wikidata":"https://www.wikidata.org/wiki/Q17105794","display_name":"Signal strength","level":3,"score":0.4697195589542389},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4347781240940094},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.42324477434158325},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23328441381454468},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1960952877998352},{"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcspring.2019.8746495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2019.8746495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1653252469","https://openalex.org/W1972440681","https://openalex.org/W1982784693","https://openalex.org/W1983450447","https://openalex.org/W1991798049","https://openalex.org/W2081525165","https://openalex.org/W2086663066","https://openalex.org/W2086783117","https://openalex.org/W2100989187","https://openalex.org/W2108611194","https://openalex.org/W2116685941","https://openalex.org/W2146971820","https://openalex.org/W2166221222","https://openalex.org/W2198480218","https://openalex.org/W2307851164","https://openalex.org/W2309512289","https://openalex.org/W2524594657","https://openalex.org/W2604042328","https://openalex.org/W2733177362","https://openalex.org/W2963757717","https://openalex.org/W4244434362","https://openalex.org/W6681833188","https://openalex.org/W6698302138","https://openalex.org/W6741398997"],"related_works":["https://openalex.org/W2551177135","https://openalex.org/W2612405521","https://openalex.org/W2151430090","https://openalex.org/W2803794770","https://openalex.org/W3193869263","https://openalex.org/W2098964748","https://openalex.org/W3121138807","https://openalex.org/W2388949434","https://openalex.org/W2357590506","https://openalex.org/W2366746442"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,33,60,115],"system":[4,39,50,121,134],"that":[5,132],"estimates":[6,40,92,135],"crowdedness,":[7],"such":[8],"as":[9],"the":[10,19,38,82,93,98,103,110,119,123,133,136,143,150],"numbers":[11],"of":[12,45,52,76,95,105,140,152,160],"people":[13,96,141,153],"and":[14,59,72,85,102,149],"wireless":[15,106],"communication":[16,107],"devices,":[17],"from":[18,97,109],"received":[20],"signal":[21],"strength":[22],"indication":[23],"(RSSI),":[24],"which":[25],"is":[26],"measured":[27],"using":[28,42],"sensor":[29,43],"nodes":[30,44],"already-deployed":[31],"for":[32],"different":[34],"purpose.":[35],"For":[36],"example,":[37],"crowdedness":[41,61,89],"structural":[46],"health":[47],"monitoring.":[48],"Our":[49],"consists":[51],"two":[53,74,163],"parts:":[54],"an":[55],"RSSI":[56,65,77,80,84,101,113],"synchronous":[57,66],"measurement":[58,67],"estimation":[62,90],"algorithm.":[63],"The":[64,88,128],"enables":[68],"us":[69],"to":[70,162],"measure":[71],"collect":[73],"kinds":[75],"by":[78],"synchronized":[79],"sampling:":[81],"inter-node":[83,100],"surrounding":[86,112],"RSSI.":[87],"algorithm":[91],"number":[94,104,151],"collected":[99,111],"devices":[108],"in":[114,122,142],"location.":[116],"We":[117],"evaluated":[118],"proposed":[120],"laboratory":[124,144],"at":[125],"Osaka":[126],"University.":[127],"evaluation":[129],"results":[130],"demonstrate":[131],"presence":[137],"or":[138],"absence":[139],"with":[145,154,158],"approximately":[146,155],"92%":[147],"accuracy":[148],"79%":[156],"accuracy,":[157],"errors":[159],"up":[161],"people.":[164]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
