{"id":"https://openalex.org/W4396629976","doi":"https://doi.org/10.1145/3654446.3654480","title":"Topology Maintenance Optimization Algorithm Based on Deep Reinforcement Learning in High Dynamic Flying Ad-Hoc Networks","display_name":"Topology Maintenance Optimization Algorithm Based on Deep Reinforcement Learning in High Dynamic Flying Ad-Hoc Networks","publication_year":2023,"publication_date":"2023-12-08","ids":{"openalex":"https://openalex.org/W4396629976","doi":"https://doi.org/10.1145/3654446.3654480"},"language":"en","primary_location":{"id":"doi:10.1145/3654446.3654480","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3654446.3654480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Signal Processing, Computer Networks and Communications","raw_type":"proceedings-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/A5051406987","display_name":"Liheng Li","orcid":"https://orcid.org/0009-0009-9462-1409"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liheng Li","raw_affiliation_strings":["School of computer science and engineering, Nanjing University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of computer science and engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078550149","display_name":"Xiulin Qiu","orcid":"https://orcid.org/0000-0002-8535-6238"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiulin Qiu","raw_affiliation_strings":["School of Automation, jiangsu University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, jiangsu University of Science and Technology, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102839702","display_name":"Bo Song","orcid":"https://orcid.org/0009-0000-0855-9245"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Song","raw_affiliation_strings":["School of computer science and engineering, Nanjing University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of computer science and engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036883157","display_name":"Yaqi Ke","orcid":"https://orcid.org/0009-0004-6926-6410"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaqi Ke","raw_affiliation_strings":["School of computer science and engineering, Nanjing University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of computer science and engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073857021","display_name":"Yuwang Yang","orcid":"https://orcid.org/0000-0002-6636-8831"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuwang Yang","raw_affiliation_strings":["School of computer science and engineering, Nanjing University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of computer science and engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5051406987"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":1.5432,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.89914336,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"192","last_page":"198"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9998999834060669,"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":0.9998999834060669,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9940999746322632,"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":0.7205795049667358},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.6471651792526245},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6448487043380737},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.6098863482475281},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6083729863166809},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5592327117919922},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5177104473114014},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.502277135848999},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.4680321514606476},{"id":"https://openalex.org/keywords/wireless-ad-hoc-network","display_name":"Wireless ad hoc network","score":0.4503145217895508},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.44882094860076904},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.44672146439552307},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.43761131167411804},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4288583993911743},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.4214155673980713},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.37450987100601196},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18323466181755066},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14243793487548828},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13523289561271667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11146050691604614},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.09383329749107361}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7205795049667358},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.6471651792526245},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6448487043380737},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.6098863482475281},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6083729863166809},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5592327117919922},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5177104473114014},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.502277135848999},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.4680321514606476},{"id":"https://openalex.org/C94523657","wikidata":"https://www.wikidata.org/wiki/Q4085781","display_name":"Wireless ad hoc network","level":3,"score":0.4503145217895508},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.44882094860076904},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.44672146439552307},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.43761131167411804},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4288583993911743},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4214155673980713},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.37450987100601196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18323466181755066},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14243793487548828},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13523289561271667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11146050691604614},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.09383329749107361},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3654446.3654480","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3654446.3654480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Signal Processing, Computer Networks and Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2093124570","https://openalex.org/W2749360987","https://openalex.org/W3011560732","https://openalex.org/W3097335007","https://openalex.org/W4200106764","https://openalex.org/W4226488281","https://openalex.org/W4252027727","https://openalex.org/W4289656150"],"related_works":["https://openalex.org/W4400868993","https://openalex.org/W3096874164","https://openalex.org/W1985560493","https://openalex.org/W2937181779","https://openalex.org/W2386410636","https://openalex.org/W2357975469","https://openalex.org/W2145363145","https://openalex.org/W1626977535","https://openalex.org/W2341346307","https://openalex.org/W3168977894"],"abstract_inverted_index":{"In":[0],"the":[1,17,23,69,87,101,108,111,125,143,147],"realm":[2],"of":[3,22,25,31,75,89,128,154],"high-dynamic-flight":[4],"self-organizing":[5],"networks,":[6],"traditional":[7],"proactive":[8],"and":[9,19,72,99,152],"reactive":[10],"routing":[11],"protocols":[12],"confront":[13],"challenges":[14],"arising":[15],"from":[16],"delayed":[18],"inflexible":[20],"determination":[21],"validity":[24,33,88],"neighbour":[26,76,90,129],"nodes.":[27,84,130],"An":[28],"untimely":[29],"assessment":[30],"node":[32],"may":[34],"lead":[35],"to":[36,120,137],"an":[37],"escalated":[38],"overall":[39],"network":[40],"packet":[41,149],"loss":[42],"rate,":[43],"consequently":[44],"causing":[45],"a":[46,58,79,96,105],"proportional":[47],"decrease":[48],"in":[49,92,107,135,160],"throughput.":[50],"To":[51],"mitigate":[52],"this":[53,55],"issue,":[54],"paper":[56],"introduces":[57],"Reinforcement":[59],"Learning":[60],"based":[61],"Topoloty":[62],"Maintenance":[63],"Algorithm":[64],"(RLTM).":[65],"This":[66],"algorithm":[67,145],"integrates":[68],"mobility":[70,162],"characteristics":[71],"remaining":[73],"energy":[74],"nodes":[77,91,159],"into":[78],"stability":[80,102],"metric":[81,103],"for":[82,123],"these":[83],"By":[85],"conceptualizing":[86],"topology":[93,139],"maintenance":[94,140],"as":[95,104],"Markov":[97],"process":[98],"incorporating":[100],"dimension":[106],"state":[109],"space,":[110],"model":[112],"undergoes":[113],"training":[114],"via":[115],"Proximal":[116],"Policy":[117],"Optimization":[118],"(PPO)":[119],"generate":[121],"decisions":[122],"establishing":[124],"effective":[126],"time":[127],"Simulation":[131],"results":[132],"demonstrate":[133],"that,":[134],"comparison":[136],"other":[138],"optimization":[141],"algorithms,":[142],"proposed":[144],"amplifies":[146],"average":[148],"delivery":[150],"rate":[151],"throughput":[153],"unmanned":[155],"aerial":[156],"vehicle":[157],"(UAV)":[158],"high-speed":[161],"scenarios.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}