{"id":"https://openalex.org/W2795378725","doi":"https://doi.org/10.1109/tnet.2018.2815630","title":"Approximation Algorithms for Sweep Coverage Problem With Multiple Mobile Sensors","display_name":"Approximation Algorithms for Sweep Coverage Problem With Multiple Mobile Sensors","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2795378725","doi":"https://doi.org/10.1109/tnet.2018.2815630","mag":"2795378725"},"language":"en","primary_location":{"id":"doi:10.1109/tnet.2018.2815630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnet.2018.2815630","pdf_url":null,"source":{"id":"https://openalex.org/S62238642","display_name":"IEEE/ACM Transactions on Networking","issn_l":"1063-6692","issn":["1063-6692","1558-2566"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Networking","raw_type":"journal-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/A5019439900","display_name":"Xiaofeng Gao","orcid":"https://orcid.org/0000-0003-1776-8799"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaofeng Gao","raw_affiliation_strings":["Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009031467","display_name":"Jiahao Fan","orcid":"https://orcid.org/0000-0002-6915-7271"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahao Fan","raw_affiliation_strings":["Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059190563","display_name":"Fan Wu","orcid":"https://orcid.org/0000-0003-0965-9058"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Wu","raw_affiliation_strings":["Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100428808","display_name":"Guihai Chen","orcid":"https://orcid.org/0000-0002-6934-1685"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guihai Chen","raw_affiliation_strings":["Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5019439900"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":2.7161,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.93043812,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"26","issue":"2","first_page":"990","last_page":"1003"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12288","display_name":"Optimization and Search Problems","score":0.9918000102043152,"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":0.9904000163078308,"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":0.7214038968086243},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.5930629968643188},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.52799391746521},{"id":"https://openalex.org/keywords/sweep-frequency-response-analysis","display_name":"Sweep frequency response analysis","score":0.5106108784675598},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4305506646633148},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4132683277130127},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3326725661754608},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.206091970205307},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.07691729068756104},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.059072792530059814}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7214038968086243},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.5930629968643188},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.52799391746521},{"id":"https://openalex.org/C37580369","wikidata":"https://www.wikidata.org/wiki/Q7655123","display_name":"Sweep frequency response analysis","level":2,"score":0.5106108784675598},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4305506646633148},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4132683277130127},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3326725661754608},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.206091970205307},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.07691729068756104},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.059072792530059814},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnet.2018.2815630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnet.2018.2815630","pdf_url":null,"source":{"id":"https://openalex.org/S62238642","display_name":"IEEE/ACM Transactions on Networking","issn_l":"1063-6692","issn":["1063-6692","1558-2566"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1055054694","display_name":null,"funder_award_id":"61472252","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4210069718","display_name":null,"funder_award_id":"61672353","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4729271401","display_name":null,"funder_award_id":"61672348","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W61956116","https://openalex.org/W1137738072","https://openalex.org/W1507532639","https://openalex.org/W1529500182","https://openalex.org/W1567588345","https://openalex.org/W1974713906","https://openalex.org/W1976697723","https://openalex.org/W2009988126","https://openalex.org/W2018607199","https://openalex.org/W2028589023","https://openalex.org/W2033208731","https://openalex.org/W2033937250","https://openalex.org/W2041560831","https://openalex.org/W2044049786","https://openalex.org/W2045870157","https://openalex.org/W2054184062","https://openalex.org/W2068735295","https://openalex.org/W2080127428","https://openalex.org/W2085304782","https://openalex.org/W2090788253","https://openalex.org/W2092360836","https://openalex.org/W2108171001","https://openalex.org/W2117226423","https://openalex.org/W2126830439","https://openalex.org/W2129105694","https://openalex.org/W2136847553","https://openalex.org/W2143987816","https://openalex.org/W2145866065","https://openalex.org/W2148309545","https://openalex.org/W2152179543","https://openalex.org/W2153282579","https://openalex.org/W2154591953","https://openalex.org/W2160450532","https://openalex.org/W2167194811","https://openalex.org/W2292090840","https://openalex.org/W2317169740","https://openalex.org/W2328354781","https://openalex.org/W2533139378","https://openalex.org/W2546752046","https://openalex.org/W2547713786","https://openalex.org/W2584346600","https://openalex.org/W2734639000","https://openalex.org/W2740024206","https://openalex.org/W2962875727","https://openalex.org/W6631827749","https://openalex.org/W6661711336","https://openalex.org/W6670238565","https://openalex.org/W6677426919","https://openalex.org/W6682105876"],"related_works":["https://openalex.org/W1995014193","https://openalex.org/W2724727029","https://openalex.org/W2082299735","https://openalex.org/W1572482493","https://openalex.org/W3173777282","https://openalex.org/W3158440311","https://openalex.org/W3122413977","https://openalex.org/W2022889341","https://openalex.org/W2366821446","https://openalex.org/W2019327799"],"abstract_inverted_index":{"Sweep":[0],"coverage":[1,25,69,120,140,150,171],"plays":[2],"an":[3,86,164],"important":[4],"role":[5],"in":[6,36,72,173],"many":[7],"applications":[8],"like":[9],"data":[10],"gathering,":[11],"sensing":[12],"coverage,":[13],"and":[14,48,182],"devices":[15],"control.":[16],"In":[17],"this":[18],"paper,":[19],"we":[20,152,161,177],"deal":[21],"with":[22,27,65,184],"the":[23,37,52,66,99,112,157,190],"sweep":[24,54,68,119,139,149,170],"problem":[26,70,121,141,147,172],"multiple":[28],"mobile":[29,57,75,125],"sensors":[30,58],"to":[31,50,154,188],"periodically":[32],"cover":[33,155],"n":[34],"targets":[35],"surveillance":[38],"region.":[39],"We":[40],"propose":[41,163],"three":[42],"constant-factor":[43],"approximations,":[44],"namely,":[45],"CycleSplit,":[46],"HeteroCycleSplit,":[47],"PathSplit,":[49],"minimize":[51],"longest":[53],"period":[55],"of":[56,89,104,148,192],"under":[59],"different":[60,129],"scenarios,":[61],"respectively.":[62],"CycleSplit":[63],"deals":[64],"minperiod":[67,138],"(MPSC),":[71],"which":[73,97],"each":[74,124],"sensor":[76,113,126],"works":[77],"independently":[78],"along":[79],"a":[80,108,128,133,145],"predetermined":[81],"trajectory":[82],"cycle.":[83],"It":[84,110,143],"has":[85,127],"approximation":[87,102],"ratio":[88,103],"(5":[90],"-":[91,93],"2/(n":[92],"m":[94],"+":[95],"1)),":[96],"improves":[98],"best":[100],"known":[101],"5.":[105],"HeteroCycleSplit":[106],"is":[107,132],"5\u03b1-approximation.":[109],"computes":[111],"routes":[114],"for":[115,135,168],"heterogeneous":[116],"velocity":[117],"min-period":[118,169],"(HVMPSC),":[122],"where":[123,151],"velocity.":[130],"PathSplit":[131],"2-approximation":[134],"connected":[136],"path":[137],"(CPMPSC).":[142],"solves":[144],"variant":[146],"need":[153],"all":[156],"given":[158],"edges.":[159],"Besides,":[160],"also":[162],"optimal":[165],"algorithm":[166],"DP-MPSC":[167],"1-D":[174],"case.":[175],"Finally,":[176],"provide":[178],"various":[179],"numerical":[180],"experiments":[181],"comparisons":[183],"several":[185],"previous":[186],"work":[187],"validate":[189],"efficiency":[191],"our":[193],"design.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}