{"id":"https://openalex.org/W7147095017","doi":"https://doi.org/10.1109/cnml68938.2026.11452997","title":"DR-ILS: High-Precision RFID Indoor Localization via Differential RSSI and Iterated Local Search","display_name":"DR-ILS: High-Precision RFID Indoor Localization via Differential RSSI and Iterated Local Search","publication_year":2026,"publication_date":"2026-01-30","ids":{"openalex":"https://openalex.org/W7147095017","doi":"https://doi.org/10.1109/cnml68938.2026.11452997"},"language":null,"primary_location":{"id":"doi:10.1109/cnml68938.2026.11452997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cnml68938.2026.11452997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Communication Networks and Machine Learning (CNML)","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/A5025676573","display_name":"Mingfeng Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingfeng Lv","raw_affiliation_strings":["Xiamen University,School of Informatics,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Informatics,Xiamen,China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088162640","display_name":"Zhijin Wang","orcid":"https://orcid.org/0000-0001-7997-303X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijing Wang","raw_affiliation_strings":["Xiamen University,School of Informatics,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Informatics,Xiamen,China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130978559","display_name":"Yibin Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]},{"id":"https://openalex.org/I4210118629","display_name":"NARI Group (China)","ror":"https://ror.org/02egn3136","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibin Huang","raw_affiliation_strings":["Power Research Institute,NARI Group Corporation (State Grid Electric),Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Power Research Institute,NARI Group Corporation (State Grid Electric),Nanjing,China","institution_ids":["https://openalex.org/I4210118629","https://openalex.org/I17442442"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025676573"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.91341862,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"605","last_page":"609"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9944999814033508,"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":0.9944999814033508,"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/T10986","display_name":"RFID technology advancements","score":0.001500000013038516,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/robustness","display_name":"Robustness (evolution)","score":0.7746000289916992},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.47350001335144043},{"id":"https://openalex.org/keywords/differential","display_name":"Differential (mechanical device)","score":0.4733999967575073},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4657000005245209},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.46000000834465027},{"id":"https://openalex.org/keywords/iterated-function","display_name":"Iterated function","score":0.41749998927116394},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4131999909877777},{"id":"https://openalex.org/keywords/multipath-interference","display_name":"Multipath interference","score":0.3917999863624573}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7746000289916992},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6726999878883362},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.47350001335144043},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.4733999967575073},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4657000005245209},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.46000000834465027},{"id":"https://openalex.org/C140479938","wikidata":"https://www.wikidata.org/wiki/Q5254619","display_name":"Iterated function","level":2,"score":0.41749998927116394},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4131999909877777},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4108000099658966},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40560001134872437},{"id":"https://openalex.org/C174749922","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath interference","level":4,"score":0.3917999863624573},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.3675000071525574},{"id":"https://openalex.org/C2778913798","wikidata":"https://www.wikidata.org/wiki/Q1195672","display_name":"Received signal strength indication","level":3,"score":0.33250001072883606},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3199999928474426},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.31049999594688416},{"id":"https://openalex.org/C124145224","wikidata":"https://www.wikidata.org/wiki/Q6094397","display_name":"Iterated local search","level":3,"score":0.3093000054359436},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.30230000615119934},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.29600000381469727},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25429999828338623}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cnml68938.2026.11452997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cnml68938.2026.11452997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Communication Networks and Machine Learning (CNML)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1648822110","https://openalex.org/W2163993204","https://openalex.org/W2295598076","https://openalex.org/W2555107502","https://openalex.org/W2802344988","https://openalex.org/W2912693213","https://openalex.org/W2926224624","https://openalex.org/W3149233908","https://openalex.org/W4225648564","https://openalex.org/W4285287987","https://openalex.org/W4388196752","https://openalex.org/W4391031602","https://openalex.org/W4406518103","https://openalex.org/W4407885369","https://openalex.org/W4408442605","https://openalex.org/W4412793222","https://openalex.org/W4413464822"],"related_works":[],"abstract_inverted_index":{"Commercial":[0],"Off-The-Shelf":[1],"(COTS)":[2],"RFID":[3],"systems":[4],"enable":[5],"cost-effective":[6],"indoor":[7,135],"localization":[8,62],"but":[9],"suffer":[10],"from":[11,113],"severe":[12],"performance":[13],"degradation":[14],"due":[15],"to":[16,46,89,103],"the":[17,111,158,162],"stochastic":[18],"nature":[19],"of":[20,146],"Received":[21],"Signal":[22],"Strength":[23],"Indicator":[24],"(RSSI)":[25],"and":[26,39,49,93],"environmental":[27,175],"multipath":[28],"effects.":[29],"Existing":[30],"heuristic":[31],"approaches":[32],"typically":[33],"rely":[34],"on":[35],"absolute":[36],"signal":[37,87],"values":[38],"rigid":[40],"spatial":[41],"partitioning,":[42],"making":[43],"them":[44],"susceptible":[45],"distribution":[47],"shifts":[48],"global":[50],"drift.":[51],"To":[52],"address":[53],"these":[54],"limitations,":[55],"this":[56],"paper":[57],"proposes":[58],"DR-ILS,":[59],"a":[60,71,99,123,141],"robust":[61],"framework":[63],"that":[64,138],"integrates":[65],"an":[66],"Uncertainty-Weighted":[67],"Differential":[68],"Strategy":[69],"with":[70],"Diversity-Driven":[72],"Iterated":[73],"Local":[74],"Search":[75],"(ILS)":[76],"algorithm.":[77],"Unlike":[78],"traditional":[79],"methods,":[80],"we":[81],"construct":[82],"differential":[83],"features":[84],"weighted":[85],"by":[86,122,154,165],"variance":[88],"eliminate":[90],"common-mode":[91],"interference":[92],"suppress":[94],"unstable":[95],"readings.":[96],"We":[97],"employ":[98],"correlation-aware":[100],"ILS":[101],"mechanism":[102],"dynamically":[104],"optimize":[105],"reference":[106],"tag":[107],"selection,":[108],"effectively":[109],"preventing":[110],"system":[112],"being":[114],"trapped":[115],"in":[116,133],"local":[117],"optima.":[118],"This":[119],"is":[120],"followed":[121],"coarse-to-fine":[124],"hierarchical":[125],"strategy":[126],"for":[127],"precise":[128],"coordinate":[129],"estimation.":[130],"Extensive":[131],"experiments":[132],"complex":[134],"environments":[136],"demonstrate":[137],"DR-ILS":[139],"achieves":[140],"Mean":[142],"Absolute":[143],"Error":[144],"(MAE)":[145],"7.55":[147],"cm,":[148],"outperforming":[149],"state-of-the-art":[150],"baselines":[151],"(e.g.,":[152],"SWHG)":[153],"approximately":[155],"11.4%.":[156],"Notably,":[157],"proposed":[159],"method":[160],"reduces":[161],"Y-axis":[163],"error":[164],"50.4%":[166],"(to":[167],"1.33":[168],"cm),":[169],"confirming":[170],"its":[171],"superior":[172],"robustness":[173],"against":[174],"dynamics.":[176]},"counts_by_year":[],"updated_date":"2026-04-02T13:53:19.096889","created_date":"2026-04-02T00:00:00"}