{"id":"https://openalex.org/W2014615584","doi":"https://doi.org/10.1109/pccc.2014.7017071","title":"Smoothly truncated levy walks: Toward a realistic mobility model","display_name":"Smoothly truncated levy walks: Toward a realistic mobility model","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2014615584","doi":"https://doi.org/10.1109/pccc.2014.7017071","mag":"2014615584"},"language":"en","primary_location":{"id":"doi:10.1109/pccc.2014.7017071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pccc.2014.7017071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC)","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/A5076382437","display_name":"Lijuan Cao","orcid":"https://orcid.org/0000-0002-1755-1541"},"institutions":[{"id":"https://openalex.org/I152899642","display_name":"Johnson C. Smith University","ror":"https://ror.org/00s3z8519","country_code":"US","type":"education","lineage":["https://openalex.org/I152899642"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lijuan Cao","raw_affiliation_strings":["Johnson C. Smith University Charlotte, NC, USA","Johnson C. Smith University, Charlotte, NC USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johnson C. Smith University Charlotte, NC, USA","institution_ids":["https://openalex.org/I152899642"]},{"raw_affiliation_string":"Johnson C. Smith University, Charlotte, NC USA","institution_ids":["https://openalex.org/I152899642"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049418599","display_name":"Michael Grabchak","orcid":"https://orcid.org/0000-0003-2547-0167"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Grabchak","raw_affiliation_strings":["University of North Carolina at Charlotte Charlotte, NC, USA","Univ. of North Carolina at Charlotte, Charlotte, NC, , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina at Charlotte Charlotte, NC, USA","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"Univ. of North Carolina at Charlotte, Charlotte, NC, , USA","institution_ids":["https://openalex.org/I102149020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8279,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.67805284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9998999834060669,"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/T10246","display_name":"Mobile Ad Hoc Networks","score":0.9997000098228455,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9947999715805054,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7374812364578247},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.7086778283119202},{"id":"https://openalex.org/keywords/l\u00e9vy-flight","display_name":"L\u00e9vy flight","score":0.6621648073196411},{"id":"https://openalex.org/keywords/mobility-model","display_name":"Mobility model","score":0.6319472789764404},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5806894898414612},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5774067044258118},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5251267552375793},{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.5238547325134277},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4302923083305359},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3676847815513611},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.23571914434432983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2212948203086853},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15422481298446655}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7374812364578247},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.7086778283119202},{"id":"https://openalex.org/C118918019","wikidata":"https://www.wikidata.org/wiki/Q4114998","display_name":"L\u00e9vy flight","level":3,"score":0.6621648073196411},{"id":"https://openalex.org/C191485582","wikidata":"https://www.wikidata.org/wiki/Q6887309","display_name":"Mobility model","level":2,"score":0.6319472789764404},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5806894898414612},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5774067044258118},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5251267552375793},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.5238547325134277},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4302923083305359},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3676847815513611},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.23571914434432983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2212948203086853},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15422481298446655},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pccc.2014.7017071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pccc.2014.7017071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC)","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":23,"referenced_works":["https://openalex.org/W1497763074","https://openalex.org/W1592892497","https://openalex.org/W1971702062","https://openalex.org/W1982300822","https://openalex.org/W1982904338","https://openalex.org/W2015387601","https://openalex.org/W2034010887","https://openalex.org/W2044128595","https://openalex.org/W2049742719","https://openalex.org/W2113195484","https://openalex.org/W2126861285","https://openalex.org/W2132742372","https://openalex.org/W2133286823","https://openalex.org/W2137688035","https://openalex.org/W2148135143","https://openalex.org/W2157457404","https://openalex.org/W2167627514","https://openalex.org/W2320620019","https://openalex.org/W2520847532","https://openalex.org/W2790825170","https://openalex.org/W3100436212","https://openalex.org/W6635622253","https://openalex.org/W6699953534"],"related_works":["https://openalex.org/W2887681950","https://openalex.org/W3004882793","https://openalex.org/W3045540481","https://openalex.org/W3042631919","https://openalex.org/W3141965839","https://openalex.org/W2788657870","https://openalex.org/W4235515609","https://openalex.org/W4255920346","https://openalex.org/W3048154413","https://openalex.org/W2172042298"],"abstract_inverted_index":{"Mobility":[0],"models":[1,20,60,84,96,107],"are":[2,69],"crucial":[3],"for":[4,11,108],"the":[5,24,32,47,64,79,87,91,97,132,142],"simulation":[6,35],"and":[7,99,113,128,131,151,178],"evaluation":[8],"of":[9,34,81,90,144,189],"protocols":[10],"multihop":[12],"wireless":[13],"networks.":[14],"However,":[15],"most":[16,58],"commonly":[17],"used":[18,181],"mobility":[19,44],"do":[21],"not":[22],"reflect":[23],"way":[25],"humans":[26],"actually":[27],"move.":[28],"This":[29],"significantly":[30],"affects":[31],"reliability":[33],"results.":[36],"In":[37,117,155],"this":[38,173],"paper":[39],"we":[40,157],"introduce":[41],"a":[42,149,159,187],"new":[43],"model":[45,125,136,174,183],"called":[46],"Smoothly":[48],"Truncated":[49],"Levy":[50],"Walk":[51],"(STLW),":[52],"which":[53,94],"is":[54,175],"more":[55],"realistic":[56,106],"than":[57],"standard":[59,92],"that":[61,172],"appear":[62],"in":[63,78,86,115,138,186],"literature.":[65],"Its":[66],"main":[67],"innovations":[68],"as":[70],"follows.":[71],"First,":[72],"to":[73,124,135,182],"take":[74],"into":[75],"account":[76],"dependencies":[77],"direction":[80,88,98],"motion,":[82],"it":[83,104,119],"changes":[85,114,137],"instead":[89],"approach,":[93],"directly":[95],"ignores":[100],"these":[101,145],"dependencies.":[102],"Second,":[103],"uses":[105,120],"pause":[109,126],"times,":[110],"flight":[111,129],"lengths,":[112],"direction.":[116,139],"particular,":[118,156],"tempered":[121],"stable":[122],"distributions":[123,146],"times":[127],"lengths":[130],"beta":[133],"distribution":[134],"We":[140],"justify":[141],"use":[143],"from":[147,166],"both":[148],"theoretical":[150],"an":[152],"empirical":[153],"perspective.":[154],"perform":[158],"trace-based":[160],"validation":[161],"on":[162],"several":[163],"real-world":[164],"traces":[165],"various":[167],"scenarios.":[168],"Validation":[169],"results":[170],"show":[171],"very":[176],"flexible":[177],"can":[179],"be":[180],"human":[184],"movements":[185],"variety":[188],"situations.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2015,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}