{"id":"https://openalex.org/W1680014837","doi":"https://doi.org/10.1109/iwcmc.2015.7289262","title":"Regression forecasting model to improve localization accuracy","display_name":"Regression forecasting model to improve localization accuracy","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1680014837","doi":"https://doi.org/10.1109/iwcmc.2015.7289262","mag":"1680014837"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc.2015.7289262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2015.7289262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Wireless Communications and Mobile Computing Conference (IWCMC)","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/A5110252175","display_name":"Najah Abu Ali","orcid":null},"institutions":[{"id":"https://openalex.org/I201726411","display_name":"United Arab Emirates University","ror":"https://ror.org/01km6p862","country_code":"AE","type":"education","lineage":["https://openalex.org/I201726411"]},{"id":"https://openalex.org/I161913731","display_name":"Al Ain University","ror":"https://ror.org/023abrt21","country_code":"AE","type":"education","lineage":["https://openalex.org/I161913731"]}],"countries":["AE"],"is_corresponding":true,"raw_author_name":"Najah A. Abu Ali","raw_affiliation_strings":["Faculty of Information Technology, United Arab Emirates University, Al Ain, Abu Dhabi, AE","Faculty of Information Technology, United Arab Emirates University, Al-Ain, UAE"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, United Arab Emirates University, Al Ain, Abu Dhabi, AE","institution_ids":["https://openalex.org/I161913731"]},{"raw_affiliation_string":"Faculty of Information Technology, United Arab Emirates University, Al-Ain, UAE","institution_ids":["https://openalex.org/I201726411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084431800","display_name":"Mervat Abu-Elkheir","orcid":"https://orcid.org/0000-0003-0958-7322"},"institutions":[{"id":"https://openalex.org/I159247623","display_name":"Mansoura University","ror":"https://ror.org/01k8vtd75","country_code":"EG","type":"education","lineage":["https://openalex.org/I159247623"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mervat Abu-Elkheir","raw_affiliation_strings":["Faculty of Computer and Information Sciences, Mansoura University, Mansoura, Egypt","Faculty of Computer and Information Sciences, Mansoura University, Egypt"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Information Sciences, Mansoura University, Mansoura, Egypt","institution_ids":["https://openalex.org/I159247623"]},{"raw_affiliation_string":"Faculty of Computer and Information Sciences, Mansoura University, Egypt","institution_ids":["https://openalex.org/I159247623"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110252175"],"corresponding_institution_ids":["https://openalex.org/I161913731","https://openalex.org/I201726411"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03950456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1254","last_page":"1259"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/computer-science","display_name":"Computer science","score":0.7275149822235107},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7088697552680969},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6466859579086304},{"id":"https://openalex.org/keywords/mobility-model","display_name":"Mobility model","score":0.5450215935707092},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5177492499351501},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.47634175419807434},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4609200954437256},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45460787415504456},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4480368494987488},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.43763503432273865},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.41795432567596436},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.41023218631744385},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40804868936538696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3434995710849762},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29301634430885315},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21425455808639526},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19399189949035645},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.12511777877807617}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7275149822235107},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7088697552680969},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6466859579086304},{"id":"https://openalex.org/C191485582","wikidata":"https://www.wikidata.org/wiki/Q6887309","display_name":"Mobility model","level":2,"score":0.5450215935707092},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5177492499351501},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.47634175419807434},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4609200954437256},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45460787415504456},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4480368494987488},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.43763503432273865},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.41795432567596436},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.41023218631744385},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40804868936538696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3434995710849762},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29301634430885315},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21425455808639526},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19399189949035645},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.12511777877807617},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc.2015.7289262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2015.7289262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Wireless Communications and Mobile Computing Conference (IWCMC)","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":23,"referenced_works":["https://openalex.org/W1576314280","https://openalex.org/W1972047876","https://openalex.org/W1973122016","https://openalex.org/W1974503784","https://openalex.org/W1977071661","https://openalex.org/W1978255623","https://openalex.org/W1987052950","https://openalex.org/W1995657907","https://openalex.org/W1998275515","https://openalex.org/W2039053171","https://openalex.org/W2053792475","https://openalex.org/W2060817038","https://openalex.org/W2075628905","https://openalex.org/W2081597012","https://openalex.org/W2085805022","https://openalex.org/W2104087894","https://openalex.org/W2108064043","https://openalex.org/W2170137506","https://openalex.org/W3101367144","https://openalex.org/W4214571706","https://openalex.org/W6644244992","https://openalex.org/W6647078621","https://openalex.org/W6663953075"],"related_works":["https://openalex.org/W1510894296","https://openalex.org/W2134386692","https://openalex.org/W2082284720","https://openalex.org/W2194396582","https://openalex.org/W2116722627","https://openalex.org/W2537260108","https://openalex.org/W2379938888","https://openalex.org/W4233405330","https://openalex.org/W2792905593","https://openalex.org/W1977445474"],"abstract_inverted_index":{"Location":[0],"information":[1],"with":[2],"a":[3,9,74,84,105,117,137,164,203,224],"high":[4],"level":[5],"of":[6,14,83,102,124,133,139,145,176,202,216,231],"accuracy":[7],"is":[8,183],"crucial":[10],"component":[11],"in":[12,150,212],"many":[13],"the":[15,35,41,55,80,94,100,122,130,143,151,157,174,187,193,229,237],"emerging":[16],"services":[17],"provided":[18],"to":[19,78,98,167,185,227],"users":[20],"by":[21],"wireless":[22],"and":[23,39,61,92,109,154,179,196,219],"mobile":[24,85],"networks.":[25],"The":[26],"proposed":[27],"mathematical":[28],"models":[29],"for":[30,126],"localization":[31,36,46,233],"focus":[32],"on":[33],"modeling":[34,69,215],"error":[37],"itself,":[38],"overlook":[40],"potential":[42],"correlation":[43,56,65,103,125,146,159],"between":[44,57,104,147,160],"successive":[45,58,148],"measurement":[47],"errors.":[48],"In":[49],"this":[50,64],"paper,":[51],"we":[52,120,172],"first":[53],"investigate":[54,121],"positioning":[59,70,217],"measurements,":[60],"then":[62],"take":[63],"into":[66],"consideration":[67],"when":[68],"error.":[71],"We":[72,141],"propose":[73],"p-order":[75],"Gauss-Markov":[76,189],"model":[77,178,209],"predict":[79],"future":[81,107],"position":[82,108],"node":[86],"from":[87],"its":[88,110],"current":[89],"mobility":[90,131],"statistics,":[91],"use":[93,186],"Yule":[95],"Walker":[96],"equations":[97],"determine":[99],"degree":[101],"node's":[106],"past":[111],"positions.":[112],"Using":[113],"vehicular":[114],"networks":[115],"as":[116,223,236],"case":[118],"study,":[119],"existence":[123,144],"two":[127,134,152],"datasets":[128],"representing":[129],"traces":[132],"vehicles":[135],"over":[136,206],"period":[138],"time.":[140,207],"prove":[142],"measurements":[149,161],"datasets,":[153],"show":[155,180],"that":[156,181],"time":[158],"can":[162,210,220],"have":[163],"value":[165],"up":[166],"4":[168],"minutes.":[169],"Through":[170],"simulations,":[171],"validate":[173],"robustness":[175],"our":[177],"it":[182],"possible":[184],"first-order":[188],"model,":[190],"which":[191],"has":[192],"least":[194],"complexity,":[195],"still":[197],"maintain":[198],"an":[199],"accurate":[200],"estimation":[201],"vehicle's":[204],"location":[205],"Our":[208],"assist":[211],"providing":[213],"better":[214],"errors":[218],"be":[221],"used":[222],"prediction":[225],"tool":[226],"improve":[228],"performance":[230],"classical":[232],"algorithms":[234],"such":[235],"Kalman":[238],"filter.":[239]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
