{"id":"https://openalex.org/W3093509632","doi":"https://doi.org/10.1109/iscc50000.2020.9219630","title":"Task Distribution Based on Variable-Order Markov Position Estimation in Mobile Sensor Networks","display_name":"Task Distribution Based on Variable-Order Markov Position Estimation in Mobile Sensor Networks","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3093509632","doi":"https://doi.org/10.1109/iscc50000.2020.9219630","mag":"3093509632"},"language":"en","primary_location":{"id":"doi:10.1109/iscc50000.2020.9219630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc50000.2020.9219630","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Symposium on Computers and Communications (ISCC)","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/A5100425468","display_name":"Li Zhang","orcid":"https://orcid.org/0000-0001-8966-1451"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086713253","display_name":"Shukui Zhang","orcid":"https://orcid.org/0000-0001-6191-5827"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shukui Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354592","display_name":"Yang Zhang","orcid":"https://orcid.org/0000-0001-8135-369X"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102981940","display_name":"Tuo Wei","orcid":"https://orcid.org/0000-0002-2823-9721"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Tuo","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419650","display_name":"Tao Ye","orcid":"https://orcid.org/0000-0002-1814-530X"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Tao","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064505198","display_name":"Mengli Dang","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengli Dang","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100425468"],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":0.2563,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71484375,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"16","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9991999864578247,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9975000023841858,"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"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9923999905586243,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8028748035430908},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6749633550643921},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.49498051404953003},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.47867351770401},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.47256818413734436},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4700202941894531},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4574107825756073},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.455890953540802},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4227471351623535},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.4202693700790405},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.41878002882003784},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4103524088859558},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3956282138824463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30527204275131226},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2349463701248169},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08889874815940857},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08836671710014343}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8028748035430908},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6749633550643921},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.49498051404953003},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.47867351770401},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.47256818413734436},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4700202941894531},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4574107825756073},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.455890953540802},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4227471351623535},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.4202693700790405},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.41878002882003784},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4103524088859558},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3956282138824463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30527204275131226},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2349463701248169},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08889874815940857},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08836671710014343},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscc50000.2020.9219630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc50000.2020.9219630","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8500000238418579,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1507907982","https://openalex.org/W1515684223","https://openalex.org/W1523742540","https://openalex.org/W1858013062","https://openalex.org/W1973923045","https://openalex.org/W1976269689","https://openalex.org/W1979540296","https://openalex.org/W1999381556","https://openalex.org/W2001155602","https://openalex.org/W2003465916","https://openalex.org/W2022954425","https://openalex.org/W2027574070","https://openalex.org/W2036543679","https://openalex.org/W2053699536","https://openalex.org/W2064783900","https://openalex.org/W2071446398","https://openalex.org/W2263798363","https://openalex.org/W2286366981","https://openalex.org/W2338184788","https://openalex.org/W2340432473","https://openalex.org/W2407231546","https://openalex.org/W2494476292","https://openalex.org/W2502946060","https://openalex.org/W2580051904","https://openalex.org/W2743323156","https://openalex.org/W2787617886","https://openalex.org/W2793958334","https://openalex.org/W2892008910","https://openalex.org/W2942698765","https://openalex.org/W2949456114","https://openalex.org/W2980028286","https://openalex.org/W3100476433","https://openalex.org/W4236051973","https://openalex.org/W6630828736","https://openalex.org/W6723282522"],"related_works":["https://openalex.org/W2053269318","https://openalex.org/W2364370872","https://openalex.org/W2097963413","https://openalex.org/W2025614924","https://openalex.org/W2294335174","https://openalex.org/W2379651310","https://openalex.org/W2113019827","https://openalex.org/W1541249122","https://openalex.org/W2413828414","https://openalex.org/W2367222340"],"abstract_inverted_index":{"With":[0],"the":[1,29,40,47,82,91,100,110,127,132,143,151,156,162,166,177],"popularization":[2],"of":[3,33,49,95,176],"intelligent":[4,34],"hardware,":[5],"wireless":[6],"sensor":[7],"networks":[8],"have":[9],"led":[10],"to":[11,154],"mobile":[12],"crowdsensing":[13],"(MCS)":[14],"systems,":[15],"which":[16],"provide":[17],"solutions":[18],"for":[19,53],"large-scale":[20],"and":[21,81,104,109,129,135,171],"complex":[22],"urban":[23],"data":[24,94],"collection.":[25],"Task":[26],"distribution":[27,42],"is":[28,75,87,115,124,148],"most":[30],"important":[31],"part":[32],"hardware":[35],"applications.":[36],"MCS":[37],"can":[38],"improve":[39],"task":[41,54,60,101,105],"efficiency":[43],"by":[44,89],"accurately":[45],"predicting":[46],"location":[48,61],"a":[50,59,65],"perceived":[51],"user":[52,85,96],"distribution.":[55],"This":[56,73],"paper":[57],"proposes":[58],"estimator":[62],"based":[63,76],"on":[64,77,126],"variable-order":[66],"Markov":[67,168],"time":[68,78,133],"window":[69,79],"sensing":[70,90],"(TEMTWS)":[71],"algorithm.":[72,157],"method":[74],"modeling,":[80],"association":[83],"between":[84],"tasks":[86],"established":[88],"historical":[92],"track":[93],"execution":[97,102],"tasks.":[98],"First,":[99],"frequency":[103],"vector":[106],"are":[107,140],"calculated,":[108],"organizer":[111],"at":[112],"each":[113],"position":[114],"selected.":[116],"To":[117],"obtain":[118],"more":[119],"perceptual":[120],"users,":[121],"similarity":[122],"estimation":[123],"performed":[125],"users":[128,136],"organizers":[130],"within":[131],"window,":[134],"with":[137,150],"high":[138],"relevance":[139],"grouped":[141],"into":[142],"same":[144],"cluster.":[145],"An":[146],"experiment":[147],"conducted":[149],"Gowalla":[152],"dataset":[153],"verify":[155],"The":[158],"results":[159],"show":[160],"that":[161],"proposed":[163],"algorithm":[164,170,173],"outperforms":[165],"standard":[167],"K-means":[169],"K-means-GA":[172],"in":[174],"terms":[175],"prediction":[178],"accuracy.":[179]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}