{"id":"https://openalex.org/W2605705279","doi":"https://doi.org/10.1142/s0129054119500138","title":"Approximation Algorithms for Barrier Sweep Coverage","display_name":"Approximation Algorithms for Barrier Sweep Coverage","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2605705279","doi":"https://doi.org/10.1142/s0129054119500138","mag":"2605705279"},"language":"en","primary_location":{"id":"doi:10.1142/s0129054119500138","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129054119500138","pdf_url":null,"source":{"id":"https://openalex.org/S68047077","display_name":"International Journal of Foundations of Computer Science","issn_l":"0129-0541","issn":["0129-0541","1793-6373"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Foundations of Computer Science","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1704.02436","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022174128","display_name":"Barun Gorain","orcid":"https://orcid.org/0000-0003-2296-3222"},"institutions":[{"id":"https://openalex.org/I4210121466","display_name":"Indian Institute of Technology Bhilai","ror":"https://ror.org/02sscsx71","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210121466"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Barun Gorain","raw_affiliation_strings":["Indian Institute of Technology Bhilai, India","Indian Institute of Technology,Bhilai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bhilai, India","institution_ids":["https://openalex.org/I4210121466"]},{"raw_affiliation_string":"Indian Institute of Technology,Bhilai,India","institution_ids":["https://openalex.org/I4210121466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029020046","display_name":"Partha Sarathi Mandal","orcid":"https://orcid.org/0000-0002-8632-5767"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Partha Sarathi Mandal","raw_affiliation_strings":["Indian Institute of Technology Guwahati, India","Indian Institute of Technology, Guwahati, India"],"raw_orcid":"https://orcid.org/0000-0002-8632-5767","affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Guwahati, India","institution_ids":["https://openalex.org/I1317621060"]},{"raw_affiliation_string":"Indian Institute of Technology, Guwahati, India","institution_ids":["https://openalex.org/I1317621060"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5022174128"],"corresponding_institution_ids":["https://openalex.org/I4210121466"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00303535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":"03","first_page":"425","last_page":"448"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9980999827384949,"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":0.9980999827384949,"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":0.9980000257492065,"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/T10996","display_name":"Computational Geometry and Mesh Generation","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.610008180141449},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5827888250350952},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.5541415214538574},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.518756628036499},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5063608884811401},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.4954437017440796},{"id":"https://openalex.org/keywords/battery-capacity","display_name":"Battery capacity","score":0.41877931356430054},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3994000256061554},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.38091209530830383},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33535194396972656},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.3129885792732239},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24994215369224548},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09408760070800781}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.610008180141449},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5827888250350952},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.5541415214538574},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.518756628036499},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5063608884811401},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4954437017440796},{"id":"https://openalex.org/C2989104859","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery capacity","level":4,"score":0.41877931356430054},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3994000256061554},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.38091209530830383},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33535194396972656},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.3129885792732239},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24994215369224548},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09408760070800781},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1142/s0129054119500138","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129054119500138","pdf_url":null,"source":{"id":"https://openalex.org/S68047077","display_name":"International Journal of Foundations of Computer Science","issn_l":"0129-0541","issn":["0129-0541","1793-6373"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Foundations of Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1704.02436","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1704.02436","pdf_url":"https://arxiv.org/pdf/1704.02436","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2605705279","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1704.02436v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1704.02436","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1704.02436","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1704.02436","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1704.02436","pdf_url":"https://arxiv.org/pdf/1704.02436","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2605705279.pdf","grobid_xml":"https://content.openalex.org/works/W2605705279.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1480397811","https://openalex.org/W1504699839","https://openalex.org/W1583127423","https://openalex.org/W1991477264","https://openalex.org/W1996889815","https://openalex.org/W2018607199","https://openalex.org/W2028589023","https://openalex.org/W2044084513","https://openalex.org/W2054184062","https://openalex.org/W2068735295","https://openalex.org/W2076901266","https://openalex.org/W2085304782","https://openalex.org/W2093897069","https://openalex.org/W2099620652","https://openalex.org/W2117226423","https://openalex.org/W2119321879","https://openalex.org/W2127986274","https://openalex.org/W2131710321","https://openalex.org/W2133425160","https://openalex.org/W2133550789","https://openalex.org/W2136847553","https://openalex.org/W2152179543","https://openalex.org/W2154677593","https://openalex.org/W2156423995","https://openalex.org/W2167194811","https://openalex.org/W2293815677","https://openalex.org/W2533139378"],"related_works":["https://openalex.org/W2533139378","https://openalex.org/W263385857","https://openalex.org/W2041560831","https://openalex.org/W3133976262","https://openalex.org/W2795378725","https://openalex.org/W2085304782","https://openalex.org/W3041176344","https://openalex.org/W1529500182","https://openalex.org/W2054184062","https://openalex.org/W2547713786","https://openalex.org/W2963368108","https://openalex.org/W3163095763","https://openalex.org/W2183723645","https://openalex.org/W2292090840","https://openalex.org/W1467278869","https://openalex.org/W2136847553","https://openalex.org/W2945443514","https://openalex.org/W2734639000","https://openalex.org/W2584346600","https://openalex.org/W2964234846"],"abstract_inverted_index":{"Time-varying":[0],"coverage,":[1],"namely":[2],"sweep":[3,21,37,72,96,110,171],"coverage":[4,38,57,73,97,111,172],"is":[5,45,64,87,98,194,237],"a":[6,17,24,48,54,75,84,88,99,131,153,158,175,182,189,241],"recent":[7],"development":[8],"in":[9],"the":[10,43,62,146,162,169,197,210,214,223],"area":[11],"of":[12,28,74,83,168,177,191,205,216,226],"wireless":[13],"sensor":[14,86,116,236],"networks,":[15],"where":[16,42,113],"few":[18],"mobile":[19,40,85,115,192,217,235],"sensors":[20,41,193],"or":[22,125],"monitor":[23],"comparatively":[25],"large":[26],"number":[27,225],"locations":[29],"periodically.":[30],"In":[31,186],"this":[32,137,187],"article,":[33],"we":[34,180],"study":[35],"barrier":[36,44,170],"with":[39,90],"considered":[46],"as":[47],"finite":[49,76],"length":[50,77],"continuous":[51,78],"curve":[52,63],"on":[53,61],"plane.":[55],"The":[56,139],"at":[58],"every":[59,114,234],"point":[60],"time-variant.":[65],"We":[66,106,129,156,219],"propose":[67,107,130,157,240],"an":[68,108,119,166],"optimal":[69],"solution":[70],"for":[71,102,136,142,152,161,174,201],"curve.":[79],"Usually,":[80],"energy":[81,94,120],"source":[82,121],"battery":[89],"limited":[91],"power,":[92],"so":[93],"restricted":[95],"challenging":[100],"problem":[101,112,173,188],"long":[103],"running":[104],"applications.":[105],"energy-restricted":[109],"must":[117],"visit":[118],"frequently":[122],"to":[123,229,244],"recharge":[124],"replace":[126],"its":[127],"battery.":[128],"[Formula:":[132],"see":[133],"text]-approximation":[134],"algorithm":[135,141,160,243],"problem.":[138,164,185],"proposed":[140],"multiple":[143],"curves":[144],"achieves":[145],"best":[147],"possible":[148],"approximation":[149],"factor":[150],"2":[151],"special":[154],"case.":[155],"5-approximation":[159],"general":[163],"As":[165],"application":[167],"set":[176,190,204,215],"line":[178,198],"segments,":[179],"formulate":[181],"data":[183,206,212,227,231],"gathering":[184],"arbitrarily":[195],"monitoring":[196,211],"segments":[199],"one":[200],"each.":[202],"A":[203],"mules":[207,228],"periodically":[208,232],"collects":[209],"from":[213,233],"sensors.":[218],"prove":[220],"that":[221],"finding":[222],"minimum":[224],"collect":[230],"NP-hard":[238],"and":[239],"3-approximation":[242],"solve":[245],"it.":[246]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}