{"id":"https://openalex.org/W2033937250","doi":"https://doi.org/10.1109/wcnc.2012.6214071","title":"Mobile sensor scheduling for timely sweep coverage","display_name":"Mobile sensor scheduling for timely sweep coverage","publication_year":2012,"publication_date":"2012-04-01","ids":{"openalex":"https://openalex.org/W2033937250","doi":"https://doi.org/10.1109/wcnc.2012.6214071","mag":"2033937250"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc.2012.6214071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2012.6214071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Wireless Communications and Networking Conference (WCNC)","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/A5090331945","display_name":"Dong Zhao","orcid":"https://orcid.org/0000-0002-2404-7669"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Zhao","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","[Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"[Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China.]","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100710713","display_name":"Huad\u00f3ng Ma","orcid":"https://orcid.org/0000-0002-7199-5047"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huadong Ma","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","[Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"[Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China.]","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016217084","display_name":"Liang Liu","orcid":"https://orcid.org/0000-0002-9058-1501"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Liu","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","[Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"[Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China.]","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":2.5466,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.90604735,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1771","last_page":"1776"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor 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/T10080","display_name":"Energy Efficient Wireless Sensor 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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9977999925613403,"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/T10246","display_name":"Mobile Ad Hoc Networks","score":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7696124315261841},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.6457093954086304},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5952437520027161},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5149663090705872},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5061184763908386},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.499553918838501},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.46376511454582214},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41998013854026794},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3732219338417053},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.25539568066596985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13000425696372986},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12142810225486755}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7696124315261841},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.6457093954086304},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5952437520027161},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5149663090705872},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5061184763908386},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.499553918838501},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.46376511454582214},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41998013854026794},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3732219338417053},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.25539568066596985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13000425696372986},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12142810225486755},{"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/wcnc.2012.6214071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2012.6214071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Wireless Communications and Networking Conference (WCNC)","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":18,"referenced_works":["https://openalex.org/W1832849348","https://openalex.org/W1974063789","https://openalex.org/W2080127428","https://openalex.org/W2111630330","https://openalex.org/W2115389786","https://openalex.org/W2135786872","https://openalex.org/W2136420233","https://openalex.org/W2148309545","https://openalex.org/W2149429274","https://openalex.org/W2153448849","https://openalex.org/W2154591953","https://openalex.org/W2165410586","https://openalex.org/W2168970473","https://openalex.org/W2752885492","https://openalex.org/W3145128584","https://openalex.org/W6670238565","https://openalex.org/W6681949580","https://openalex.org/W6682105876"],"related_works":["https://openalex.org/W3117467770","https://openalex.org/W1975451135","https://openalex.org/W2989915292","https://openalex.org/W2236009467","https://openalex.org/W2890570089","https://openalex.org/W2808111827","https://openalex.org/W2073793005","https://openalex.org/W4385953720","https://openalex.org/W3148968234","https://openalex.org/W145760256"],"abstract_inverted_index":{"Mobile":[0],"sensors":[1],"are":[2,109,121,156,198],"a":[3,11,19,112,125],"viable":[4],"choice":[5],"for":[6,56,87,96,192],"providing":[7],"monitoring":[8],"service":[9],"on":[10,124,167],"set":[12],"of":[13,15,77,164],"Points":[14],"Interest":[16],"(PoIs)":[17],"in":[18],"large":[20],"sensing":[21,51,172],"field.":[22],"In":[23],"some":[24],"applications,":[25],"each":[26,57,88,193],"PoI":[27,58],"should":[28,38,59],"be":[29,39,60],"covered":[30],"periodically":[31],"(sweep":[32],"coverage),":[33],"and":[34,52,117,150,154,173],"the":[35,42,50,74,83,92,97,131,134,140,146,161,168,171,181,186],"collected":[36],"data":[37],"delivered":[40],"to":[41,72,81,200],"sink":[43],"node":[44],"timely":[45,66],"(timely":[46],"transmission),":[47],"namely":[48],"both":[49],"transmission":[53,174],"delay":[54,85,175,188],"constraints":[55,86,189],"satisfied,":[61],"which":[62],"we":[63,144],"call":[64],"as":[65],"sweep":[67],"coverage.":[68],"We":[69,102,158],"investigate":[70],"how":[71],"optimize":[73],"movement":[75,94],"path":[76],"one":[78],"mobile":[79,98],"sensor":[80,99],"satisfy":[82],"two":[84,104,151,187],"PoI,":[89],"so":[90],"that":[91,160],"required":[93],"velocity":[95],"is":[100,137,148],"minimized.":[101],"consider":[103],"cases:":[105],"1)":[106],"all":[107,119],"PoIs":[108,120],"placed":[110,123],"along":[111],"straight":[113],"line":[114],"(linear":[115],"case),":[116],"2)":[118],"arbitrarily":[122],"plane":[126],"(general":[127],"2-D":[128,142],"case).":[129],"Under":[130,139],"linear":[132],"case,":[133,143],"optimal":[135],"algorithm":[136],"presented.":[138,157],"general":[141],"prove":[145,159],"problem":[147],"NP-hard,":[149],"algorithms,":[152],"STSP":[153,165],"ITSP,":[155],"approximation":[162],"ratio":[163,169],"depends":[166],"between":[170],"constraints.":[176],"The":[177],"ITSP":[178],"can":[179],"improve":[180],"solution":[182],"much":[183],"especially":[184],"when":[185],"differ":[190],"greatly":[191],"PoI.":[194],"Extensive":[195],"simulation":[196],"results":[197],"provided":[199],"evaluate":[201],"our":[202],"algorithms.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
