{"id":"https://openalex.org/W2920764123","doi":"https://doi.org/10.3390/s19051192","title":"An Area Coverage and Energy Consumption Optimization Approach Based on Improved Adaptive Particle Swarm Optimization for Directional Sensor Networks","display_name":"An Area Coverage and Energy Consumption Optimization Approach Based on Improved Adaptive Particle Swarm Optimization for Directional Sensor Networks","publication_year":2019,"publication_date":"2019-03-08","ids":{"openalex":"https://openalex.org/W2920764123","doi":"https://doi.org/10.3390/s19051192","mag":"2920764123","pmid":"https://pubmed.ncbi.nlm.nih.gov/30857210"},"language":"en","primary_location":{"id":"doi:10.3390/s19051192","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19051192","pdf_url":"https://www.mdpi.com/1424-8220/19/5/1192/pdf?version=1552039101","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/19/5/1192/pdf?version=1552039101","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Song Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Peng","raw_affiliation_strings":["Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan 430074, China","School of Automation, China University of Geosciences, Wuhan 430074, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan 430074, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"School of Automation, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100735355","display_name":"Yonghua Xiong","orcid":"https://orcid.org/0000-0002-8672-0193"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yonghua Xiong","raw_affiliation_strings":["Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan 430074, China","School of Automation, China University of Geosciences, Wuhan 430074, China"],"raw_orcid":"https://orcid.org/0000-0002-8672-0193","affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan 430074, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"School of Automation, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100735355"],"corresponding_institution_ids":["https://openalex.org/I3124059619","https://openalex.org/I4210094879"],"apc_list":{"value":1800,"currency":"CHF","value_usd":1824},"apc_paid":{"value":1800,"currency":"CHF","value_usd":1824},"fwci":2.627,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.90205185,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"19","issue":"5","first_page":"1192","last_page":"1192"},"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":0.9940000176429749,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9922000169754028,"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/energy-consumption","display_name":"Energy consumption","score":0.7203788161277771},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6553165912628174},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5902953743934631},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5719283819198608},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5160934329032898},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.49573075771331787},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.47921401262283325},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.4716571867465973},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.463485985994339},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.46343809366226196},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4378150701522827},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3399921953678131},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2530261278152466},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1627907156944275},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1612354815006256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11334943771362305},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08474764227867126},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.07697424292564392}],"concepts":[{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.7203788161277771},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6553165912628174},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5902953743934631},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5719283819198608},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5160934329032898},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.49573075771331787},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.47921401262283325},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.4716571867465973},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.463485985994339},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.46343809366226196},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4378150701522827},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3399921953678131},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2530261278152466},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1627907156944275},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1612354815006256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11334943771362305},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08474764227867126},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.07697424292564392},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s19051192","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19051192","pdf_url":"https://www.mdpi.com/1424-8220/19/5/1192/pdf?version=1552039101","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:30857210","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30857210","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":"Journal Article"},{"id":"pmh:oai:europepmc.org:5445674","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6427660","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:ff2b2f3e333e41ab84d97fe49d666bf0","is_oa":true,"landing_page_url":"https://doaj.org/article/ff2b2f3e333e41ab84d97fe49d666bf0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 19, Iss 5, p 1192 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s19051192","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19051192","pdf_url":"https://www.mdpi.com/1424-8220/19/5/1192/pdf?version=1552039101","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9200000166893005,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G1321293980","display_name":null,"funder_award_id":"61873249","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2920764123.pdf","grobid_xml":"https://content.openalex.org/works/W2920764123.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1529893299","https://openalex.org/W1567086063","https://openalex.org/W1971849391","https://openalex.org/W1972944804","https://openalex.org/W1977378496","https://openalex.org/W1993948811","https://openalex.org/W2001469457","https://openalex.org/W2035886188","https://openalex.org/W2038014827","https://openalex.org/W2039078489","https://openalex.org/W2049276813","https://openalex.org/W2061773323","https://openalex.org/W2075468109","https://openalex.org/W2084072921","https://openalex.org/W2096812245","https://openalex.org/W2103981365","https://openalex.org/W2104846640","https://openalex.org/W2122754127","https://openalex.org/W2124360401","https://openalex.org/W2131791946","https://openalex.org/W2133486451","https://openalex.org/W2148680266","https://openalex.org/W2155492251","https://openalex.org/W2156461475","https://openalex.org/W2159765787","https://openalex.org/W2163807729","https://openalex.org/W2165100608","https://openalex.org/W2182166596","https://openalex.org/W2274027521","https://openalex.org/W2283491698","https://openalex.org/W2295203825","https://openalex.org/W2312295746","https://openalex.org/W2336828274","https://openalex.org/W2346009854","https://openalex.org/W2399372960","https://openalex.org/W2465716349","https://openalex.org/W2537514139","https://openalex.org/W2543580944","https://openalex.org/W2563902996","https://openalex.org/W2801711508","https://openalex.org/W2884001145","https://openalex.org/W4285719527","https://openalex.org/W6650718251","https://openalex.org/W6682642761","https://openalex.org/W6685823226","https://openalex.org/W6694476599","https://openalex.org/W6698782372","https://openalex.org/W6750976910"],"related_works":["https://openalex.org/W2006324351","https://openalex.org/W2965421953","https://openalex.org/W2349895019","https://openalex.org/W2116074880","https://openalex.org/W2950423922","https://openalex.org/W2070977815","https://openalex.org/W2121780490","https://openalex.org/W2137136732","https://openalex.org/W2972744589","https://openalex.org/W2132113279"],"abstract_inverted_index":{"Coverage":[0],"is":[1],"a":[2,57,81,119,144],"vital":[3],"indicator":[4],"which":[5,125,149],"reflects":[6],"the":[7,32,41,127,185],"performance":[8],"of":[9,17,35,44,137],"directional":[10,18],"sensor":[11,19,111],"networks":[12],"(DSNs).":[13],"The":[14],"random":[15],"deployment":[16],"nodes":[20,36,151],"will":[21,37],"lead":[22],"to":[23,47,87,164,169],"many":[24],"covergae":[25],"blind":[26],"areas":[27],"and":[28,61,91,132,177],"overlapping":[29],"areas.":[30],"Besides,":[31],"premature":[33],"death":[34],"also":[38,142],"directly":[39],"affect":[40],"service":[42],"quality":[43],"network":[45],"due":[46],"limited":[48],"energy.":[49],"To":[50],"address":[51],"these":[52],"problems,":[53],"this":[54],"paper":[55],"proposes":[56],"new":[58],"area":[59,75],"coverage":[60,76,89,172],"energy":[62,100,105,130,133,178],"consumption":[63,101,106,134,179],"optimization":[64,72,83,123,167],"approach":[65,188],"based":[66],"on":[67,109],"improved":[68],"adaptive":[69],"particle":[70],"swarm":[71],"(IAPSO).":[73],"For":[74,99],"problem,":[77],"we":[78,103],"set":[79,117],"up":[80,118],"multi-objective":[82],"model":[84,124],"in":[85,148],"order":[86],"improve":[88],"ratio":[90,94,131,176],"reduce":[92],"redundancy":[93,175],"by":[95,113,156],"sensing":[96],"direction":[97],"rotation.":[98],"optimization,":[102],"make":[104],"evenly":[107],"distribute":[108],"each":[110],"node":[112],"clustering":[114],"network.":[115],"We":[116,141,159],"cluster":[120,138,145,154],"head":[121,139],"selection":[122],"considers":[126],"total":[128],"residual":[129],"balance":[135],"degree":[136],"candidates.":[140],"propose":[143],"formation":[146],"algorithm":[147],"member":[150],"choose":[152],"their":[153],"heads":[155],"weight":[157],"function.":[158],"next":[160],"utilize":[161],"an":[162],"IAPSO":[163],"solve":[165],"two":[166],"models":[168],"achieve":[170],"high":[171],"ratio,":[173],"low":[174],"balance.":[180],"Extensive":[181],"simulation":[182],"results":[183],"demonstrate":[184],"our":[186],"proposed":[187],"performs":[189],"better":[190],"than":[191],"other":[192],"ones.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}