{"id":"https://openalex.org/W3165702657","doi":"https://doi.org/10.1109/wts51064.2021.9433708","title":"Analysis of RSSI Feasibility for Sensor Positioning in Exterior Environment","display_name":"Analysis of RSSI Feasibility for Sensor Positioning in Exterior Environment","publication_year":2021,"publication_date":"2021-04-21","ids":{"openalex":"https://openalex.org/W3165702657","doi":"https://doi.org/10.1109/wts51064.2021.9433708","mag":"3165702657"},"language":"en","primary_location":{"id":"doi:10.1109/wts51064.2021.9433708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wts51064.2021.9433708","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Wireless Telecommunications Symposium (WTS)","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/A5052605149","display_name":"Qian Dong","orcid":"https://orcid.org/0000-0001-8956-3798"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qian Dong","raw_affiliation_strings":["Jinan University,Department of Computer Science,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Jinan University,Department of Computer Science,Guangzhou,China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023934154","display_name":"Feng Zhu","orcid":"https://orcid.org/0000-0001-5044-8805"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Zhu","raw_affiliation_strings":["Sun Yat-Sen University,School of Physics and Astronomy,Guangzhou,China","School of Physics and Astronomy, Sun Yat-Sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University,School of Physics and Astronomy,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Physics and Astronomy, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102793330","display_name":"Yanning Cai","orcid":"https://orcid.org/0000-0003-0879-9809"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanning Cai","raw_affiliation_strings":["Jinan University,Department of Computer Science,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Jinan University,Department of Computer Science,Guangzhou,China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067489790","display_name":"Liangda Fang","orcid":"https://orcid.org/0000-0002-6435-6570"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]},{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangda Fang","raw_affiliation_strings":["Jinan University,Department of Computer Science,Guangzhou,China","Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Jinan University,Department of Computer Science,Guangzhou,China","institution_ids":["https://openalex.org/I159948400"]},{"raw_affiliation_string":"Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102151429","display_name":"Mi Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mi Lu","raw_affiliation_strings":["Texas A&#x0026;M University,Department of Electrical and Computer Engineering,College Station,USA"],"affiliations":[{"raw_affiliation_string":"Texas A&#x0026;M University,Department of Electrical and Computer Engineering,College Station,USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5052605149"],"corresponding_institution_ids":["https://openalex.org/I159948400"],"apc_list":null,"apc_paid":null,"fwci":0.3008,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.55072424,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"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":1.0,"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":1.0,"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":0.9995999932289124,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/received-signal-strength-indication","display_name":"Received signal strength indication","score":0.7068368196487427},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.67337965965271},{"id":"https://openalex.org/keywords/path-loss","display_name":"Path loss","score":0.6642583012580872},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6112104058265686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5751320123672485},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5012586116790771},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.49892449378967285},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4809805154800415},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.46275612711906433},{"id":"https://openalex.org/keywords/non-line-of-sight-propagation","display_name":"Non-line-of-sight propagation","score":0.458680659532547},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.43876218795776367},{"id":"https://openalex.org/keywords/signal-strength","display_name":"Signal strength","score":0.4246256351470947},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2647002935409546},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.25057506561279297},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1647152602672577},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14995026588439941},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11246365308761597}],"concepts":[{"id":"https://openalex.org/C2778913798","wikidata":"https://www.wikidata.org/wiki/Q1195672","display_name":"Received signal strength indication","level":3,"score":0.7068368196487427},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.67337965965271},{"id":"https://openalex.org/C194273485","wikidata":"https://www.wikidata.org/wiki/Q1478845","display_name":"Path loss","level":3,"score":0.6642583012580872},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6112104058265686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5751320123672485},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5012586116790771},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.49892449378967285},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4809805154800415},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.46275612711906433},{"id":"https://openalex.org/C154910267","wikidata":"https://www.wikidata.org/wiki/Q1740982","display_name":"Non-line-of-sight propagation","level":3,"score":0.458680659532547},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.43876218795776367},{"id":"https://openalex.org/C176808163","wikidata":"https://www.wikidata.org/wiki/Q17105794","display_name":"Signal strength","level":3,"score":0.4246256351470947},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2647002935409546},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.25057506561279297},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1647152602672577},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14995026588439941},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11246365308761597},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wts51064.2021.9433708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wts51064.2021.9433708","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Wireless Telecommunications Symposium (WTS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322292","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2004707316","https://openalex.org/W2253783496","https://openalex.org/W2540101212","https://openalex.org/W2546409048","https://openalex.org/W2749301731","https://openalex.org/W2792048930","https://openalex.org/W2798970216","https://openalex.org/W2953269119","https://openalex.org/W3003259685","https://openalex.org/W3034427875","https://openalex.org/W3039782499","https://openalex.org/W3044736892","https://openalex.org/W3045959099","https://openalex.org/W3092302980","https://openalex.org/W3113052095","https://openalex.org/W3114645126","https://openalex.org/W3115103396","https://openalex.org/W3121415632","https://openalex.org/W3125835030","https://openalex.org/W3129102907","https://openalex.org/W6786953819","https://openalex.org/W6788928778"],"related_works":["https://openalex.org/W4306950403","https://openalex.org/W22721396","https://openalex.org/W2253573804","https://openalex.org/W4300167711","https://openalex.org/W2806700348","https://openalex.org/W2963347964","https://openalex.org/W1994455657","https://openalex.org/W2168752585","https://openalex.org/W2982213597","https://openalex.org/W2605547033"],"abstract_inverted_index":{"Mobility":[0],"of":[1,62,77,89,94,106,123,138,144,182],"nodes":[2,26,66,227],"in":[3,44,81,232],"Wireless":[4],"Sensor":[5],"Networks":[6],"(WSNs)":[7],"brings":[8],"formidable":[9],"challenges":[10],"to":[11,32,51,194,221],"protocol":[12],"design.":[13],"A":[14],"mobility":[15],"estimation":[16],"algorithm":[17],"is":[18,132,177,187,212,218],"the":[19,86,104,114,136,162,170,183,200,223],"prerequisite":[20],"for":[21,108,214],"evaluating":[22],"link":[23],"quality,":[24],"localizing":[25],"and":[27,56,97,119,128,150,199],"excogitating":[28],"a":[29,74,82,121,129,142],"signal":[30,96],"threshold":[31],"trigger":[33],"possible":[34,189],"handoff.":[35],"The":[36,60,156],"radio":[37],"Received":[38],"Signal":[39],"Strength":[40],"Indicator":[41],"(RSSI)":[42],"integrated":[43],"sensors":[45],"has":[46],"been":[47],"widely":[48],"used":[49],"due":[50],"its":[52],"low":[53],"economy":[54],"cost":[55],"moderate":[57],"energy":[58],"consumption.":[59],"distance":[61,224],"separation":[63],"between":[64,117,203,225],"adjacent":[65],"can":[67,205],"be":[68],"estimated":[69],"by":[70,161],"reading":[71],"RSSI":[72,90,107,118,140,192,231],"when":[73],"good":[75],"portion":[76],"electromagnetic":[78],"wave":[79],"propagates":[80],"line-of-sight":[83],"link.":[84],"However,":[85],"measurement":[87],"results":[88],"fluctuate":[91],"heavily":[92],"because":[93],"fading":[95],"disturbing":[98],"background":[99],"noise.":[100],"This":[101],"paper":[102],"investigates":[103],"reliability":[105],"exterior":[109,233],"sensor":[110],"positioning.":[111],"To":[112,134],"display":[113],"one-to-one":[115],"mapping":[116],"distance,":[120],"series":[122],"static":[124],"experiments":[125,146],"are":[126,147,154,159],"conducted":[127],"reference":[130],"curve":[131],"established.":[133],"mitigate":[135],"fluctuation":[137],"raw":[139,184],"samples,":[141,185],"set":[143],"mobile":[145,226],"carried":[148],"out":[149],"five":[151],"filtering":[152],"methods":[153],"employed.":[155],"mitigation":[157],"effects":[158],"evaluated":[160],"Root":[163],"Mean":[164],"Square":[165],"Error":[166],"(RMSE)":[167],"values.":[168],"Though":[169],"overall":[171],"optimal":[172],"RMSE":[173],"achieves":[174],"0.84,":[175],"which":[176],"significantly":[178],"lower":[179],"than":[180],"that":[181,190],"it":[186,217],"still":[188],"one":[191],"corresponds":[193],"two":[195],"or":[196],"more":[197],"distances,":[198],"maximum":[201],"difference":[202],"them":[204],"reach":[206],"2.97":[207],"meters.":[208],"Because":[209],"this":[210],"error":[211],"intolerable":[213],"many":[215],"applications,":[216],"not":[219],"authentic":[220],"gauge":[222],"only":[228],"based":[229],"on":[230],"environment.":[234]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
