{"id":"https://openalex.org/W7118487507","doi":"https://doi.org/10.1109/tce.2026.3651620","title":"Continuous Hopfield Neural Network (CHNN)-Based Clustering Optimization Scheme for FANETs","display_name":"Continuous Hopfield Neural Network (CHNN)-Based Clustering Optimization Scheme for FANETs","publication_year":2026,"publication_date":"2026-01-06","ids":{"openalex":"https://openalex.org/W7118487507","doi":"https://doi.org/10.1109/tce.2026.3651620"},"language":null,"primary_location":{"id":"doi:10.1109/tce.2026.3651620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2026.3651620","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Transactions on Consumer Electronics","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/A5122072816","display_name":"Hua Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I49835588","display_name":"Macao Polytechnic University","ror":"https://ror.org/02sf5td35","country_code":"MO","type":"education","lineage":["https://openalex.org/I49835588"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"Hua Yang","raw_affiliation_strings":["Faculty of Applied Sciences, Macao Polytechnic University, Macau, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Applied Sciences, Macao Polytechnic University, Macau, China","institution_ids":["https://openalex.org/I49835588"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059002802","display_name":"Dennis Wong","orcid":"https://orcid.org/0000-0002-6242-164X"},"institutions":[{"id":"https://openalex.org/I49835588","display_name":"Macao Polytechnic University","ror":"https://ror.org/02sf5td35","country_code":"MO","type":"education","lineage":["https://openalex.org/I49835588"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Dennis Wong","raw_affiliation_strings":["Faculty of Applied Sciences, Macao Polytechnic University, Macau, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Applied Sciences, Macao Polytechnic University, Macau, China","institution_ids":["https://openalex.org/I49835588"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100681859","display_name":"Xing Wei","orcid":"https://orcid.org/0000-0002-0214-8717"},"institutions":[{"id":"https://openalex.org/I3129996945","display_name":"Guilin University of Aerospace Technology","ror":"https://ror.org/00h1gc758","country_code":"CN","type":"education","lineage":["https://openalex.org/I3129996945"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Wei","raw_affiliation_strings":["School of Computer Science and Engineering, Guilin University of Aerospace Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Guilin University of Aerospace Technology, Guilin, China","institution_ids":["https://openalex.org/I3129996945"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5122072816"],"corresponding_institution_ids":["https://openalex.org/I49835588"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03251873,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"72","issue":"1","first_page":"353","last_page":"360"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9110000133514404,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9110000133514404,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.013299999758601189,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.007699999958276749,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7365000247955322},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.58160001039505},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5440999865531921},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5103999972343445},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.49939998984336853},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.45399999618530273},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4415999948978424},{"id":"https://openalex.org/keywords/dynamic-network-analysis","display_name":"Dynamic network analysis","score":0.40720000863075256},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.34049999713897705}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7742999792098999},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7365000247955322},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.58160001039505},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5440999865531921},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5103999972343445},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.49939998984336853},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.45399999618530273},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4415999948978424},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.40720000863075256},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.34049999713897705},{"id":"https://openalex.org/C94523657","wikidata":"https://www.wikidata.org/wiki/Q4085781","display_name":"Wireless ad hoc network","level":3,"score":0.33799999952316284},{"id":"https://openalex.org/C6180225","wikidata":"https://www.wikidata.org/wiki/Q3411771","display_name":"Penalty method","level":2,"score":0.33709999918937683},{"id":"https://openalex.org/C46421273","wikidata":"https://www.wikidata.org/wiki/Q1407668","display_name":"Hopfield network","level":3,"score":0.3305000066757202},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3125999867916107},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.30979999899864197},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3073999881744385},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.28839999437332153},{"id":"https://openalex.org/C2776003309","wikidata":"https://www.wikidata.org/wiki/Q1988072","display_name":"Adaptive algorithm","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C129763632","wikidata":"https://www.wikidata.org/wiki/Q1454667","display_name":"Network management","level":2,"score":0.27869999408721924},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27649998664855957},{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C203274722","wikidata":"https://www.wikidata.org/wiki/Q7001161","display_name":"Network performance","level":2,"score":0.2750999927520752},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.27309998869895935},{"id":"https://openalex.org/C152623178","wikidata":"https://www.wikidata.org/wiki/Q436417","display_name":"Network delay","level":3,"score":0.272599995136261}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2026.3651620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2026.3651620","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Transactions on Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6547176837921143,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1787734157","https://openalex.org/W2047496769","https://openalex.org/W2086976228","https://openalex.org/W2101678493","https://openalex.org/W2128084896","https://openalex.org/W2326474633","https://openalex.org/W2922332933","https://openalex.org/W2955809904","https://openalex.org/W2968773007","https://openalex.org/W3016366112","https://openalex.org/W3035523175","https://openalex.org/W3192569321","https://openalex.org/W3204273772","https://openalex.org/W4200349887","https://openalex.org/W4214715884","https://openalex.org/W4220970388","https://openalex.org/W4289520325","https://openalex.org/W4297348225","https://openalex.org/W4387459052","https://openalex.org/W4388798074","https://openalex.org/W4389313926","https://openalex.org/W4391281599","https://openalex.org/W4404763847","https://openalex.org/W4405269753","https://openalex.org/W4409917457"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,78,106,125,128,154,186],"rapid":[2],"development":[3],"of":[4,82,127,188,203],"UAV":[5],"technology,":[6],"Flying":[7],"Ad":[8],"hoc":[9],"Network":[10],"(FANET)":[11],"has":[12],"become":[13],"a":[14,60,67,111,139,171],"core":[15],"network":[16,51,71],"architecture":[17],"in":[18,34,44,142,149,192],"military,":[19],"disaster":[20],"relief,":[21],"and":[22,32,50,80,98,121,145,175,179],"other":[23],"fields":[24],"due":[25],"to":[26,76,103,117,153,183],"its":[27],"potential":[28],"for":[29,200],"efficient":[30,201],"communication":[31],"collaboration":[33],"dynamic":[35,45,86,112,162,204],"environments.":[36],"However,":[37],"existing":[38],"clustering":[39,61,157],"algorithms":[40],"exhibit":[41],"significant":[42],"drawbacks":[43],"adaptability,":[46],"parameter":[47,168],"adjustment":[48],"complexity,":[49],"robustness.":[52],"To":[53],"address":[54,185],"these":[55],"challenges,":[56],"this":[57],"paper":[58],"proposes":[59],"optimization":[62,91],"algorithm":[63,129,158,165],"CHNN-CA":[64,137],"based":[65],"on":[66],"continuous":[68],"Hopfield":[69],"neural":[70],"(CHNN).":[72],"The":[73,164],"goal":[74],"is":[75,101,115],"enhance":[77],"stability":[79,144],"efficiency":[81],"FANETs":[83],"through":[84,170],"multi-objective":[85],"balance":[87],"optimization.":[88],"A":[89],"CHNN":[90],"model":[92],"that":[93,136],"incorporates":[94],"node":[95],"mobility":[96],"prediction":[97],"energy":[99],"sensing":[100],"constructed":[102],"cope":[104],"with":[105],"network\u2019s":[107],"time-varying":[108],"characteristics.":[109],"Additionally,":[110],"penalty":[113],"function":[114,174],"designed":[116],"strengthen":[118],"cluster":[119,143,189],"size":[120],"connectivity":[122],"constraints,":[123],"ensuring":[124],"convergence":[126],"under":[130,160],"topology":[131],"uncertainty.":[132],"Simulation":[133],"results":[134],"demonstrate":[135],"achieves":[138],"23.6%":[140],"improvement":[141],"an":[146,197],"18.9%":[147],"reduction":[148],"control":[150],"overhead":[151],"compared":[152],"traditional":[155],"weighted":[156],"(WCA)":[159],"highly":[161],"scenarios.":[163],"also":[166],"simplifies":[167],"tuning":[169],"lightweight":[172],"adaptive":[173],"combines":[176],"link":[177],"quality":[178],"multi-hop":[180],"coverage":[181],"mechanisms":[182],"effectively":[184],"problem":[187],"head":[190],"over-density":[191],"large-scale":[193],"networks.":[194],"This":[195],"provides":[196],"innovative":[198],"solution":[199],"management":[202],"FANETs.":[205]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2026-01-08T00:00:00"}
