{"id":"https://openalex.org/W4414693412","doi":"https://doi.org/10.1109/jiot.2025.3616362","title":"Multiobjective Optimization of Path Planning and Communication Capacity Based on DQN With Weighted Prioritized Experience Replay","display_name":"Multiobjective Optimization of Path Planning and Communication Capacity Based on DQN With Weighted Prioritized Experience Replay","publication_year":2025,"publication_date":"2025-10-01","ids":{"openalex":"https://openalex.org/W4414693412","doi":"https://doi.org/10.1109/jiot.2025.3616362"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3616362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3616362","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5069490039","display_name":"Yuzhou Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuzhou Lu","raw_affiliation_strings":["Navigation College, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0009-0007-0263-1040","affiliations":[{"raw_affiliation_string":"Navigation College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045450717","display_name":"Yi Zuo","orcid":"https://orcid.org/0000-0002-4580-6855"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zuo","raw_affiliation_strings":["the Collaborative Innovation Center of Maritime Big Data and Artificial General Intelligence, Dalian Maritime University, Dalian, China","Navigation College and Maritime Big Data & Artificial Intelligent Application Center, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-4580-6855","affiliations":[{"raw_affiliation_string":"the Collaborative Innovation Center of Maritime Big Data and Artificial General Intelligence, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"Navigation College and Maritime Big Data & Artificial Intelligent Application Center, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":null,"apc_paid":null,"fwci":3.4049,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.93149905,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"12","issue":"24","first_page":"53262","last_page":"53273"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9900000095367432,"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":0.9900000095367432,"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":0.9783999919891357,"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/T10651","display_name":"IPv6, Mobility, Handover, Networks, Security","score":0.9693999886512756,"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/motion-planning","display_name":"Motion planning","score":0.6787999868392944},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5593000054359436},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4530999958515167},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.44279998540878296},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4262999892234802},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.4223000109195709},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.40849998593330383},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.4056999981403351}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8277999758720398},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.6787999868392944},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5593000054359436},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4530999958515167},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.44279998540878296},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.43529999256134033},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4343000054359436},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4262999892234802},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.4223000109195709},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.40849998593330383},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.4056999981403351},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.3686999976634979},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3650999963283539},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.3540000021457672},{"id":"https://openalex.org/C192126672","wikidata":"https://www.wikidata.org/wiki/Q1068715","display_name":"Telecommunications network","level":2,"score":0.34549999237060547},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3294999897480011},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3061999976634979},{"id":"https://openalex.org/C169111936","wikidata":"https://www.wikidata.org/wiki/Q424098","display_name":"Underwater acoustic communication","level":3,"score":0.3019999861717224},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.29600000381469727},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.29010000824928284},{"id":"https://openalex.org/C2781007418","wikidata":"https://www.wikidata.org/wiki/Q1456934","display_name":"Capacity planning","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.2567000091075897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3616362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3616362","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1125654762","display_name":null,"funder_award_id":"2021RJ08","funder_id":"https://openalex.org/F4320336823","funder_display_name":"Science Fund for Distinguished Young Scholars of Tianjin"},{"id":"https://openalex.org/G6480321500","display_name":null,"funder_award_id":"52131101","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"},{"id":"https://openalex.org/F4320336823","display_name":"Science Fund for Distinguished Young Scholars of Tianjin","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2145339207","https://openalex.org/W2604618034","https://openalex.org/W2964048876","https://openalex.org/W2965870268","https://openalex.org/W2970414985","https://openalex.org/W2977340802","https://openalex.org/W2998202787","https://openalex.org/W3174645049","https://openalex.org/W3184852195","https://openalex.org/W3191435860","https://openalex.org/W4223903251","https://openalex.org/W4281384975","https://openalex.org/W4364378537","https://openalex.org/W4385994325","https://openalex.org/W4386102979","https://openalex.org/W4391253264","https://openalex.org/W4391451073","https://openalex.org/W4392309124","https://openalex.org/W4392774204","https://openalex.org/W4392815494","https://openalex.org/W4394764091","https://openalex.org/W4394984820","https://openalex.org/W4400036450","https://openalex.org/W4401506225","https://openalex.org/W4402039810","https://openalex.org/W4402811616","https://openalex.org/W4403826619","https://openalex.org/W4404347293","https://openalex.org/W4404840285","https://openalex.org/W4410032041","https://openalex.org/W4410427546","https://openalex.org/W4412536658"],"related_works":[],"abstract_inverted_index":{"Autonomous":[0],"underwater":[1,14,137],"vehicles":[2],"(AUV)":[3],"are":[4],"popular":[5],"robots":[6],"that":[7,112,184],"can":[8,90,115,187],"independently":[9],"operate":[10],"complex":[11],"tasks":[12,57],"in":[13,69],"environment.":[15],"Since":[16],"AUV":[17,70,114],"not":[18],"only":[19],"has":[20],"highly":[21],"moving":[22],"characteristics,":[23],"but":[24],"also":[25,167],"provides":[26],"efficiently":[27],"communicating":[28],"supports,":[29],"it":[30],"is":[31],"necessary":[32],"to":[33,52,83,156,173],"consider":[34],"the":[35,64,106,113,117,123,127,158,175,181],"energy":[36],"balance":[37,94],"of":[38,77,109,119,160,170,177,192],"path":[39,96,194],"planning":[40,97],"for":[41,47],"collision":[42],"avoidance":[43],"and":[44,72,98,126,142,145,153,180,196],"communication":[45,99,198],"capacity":[46,199],"all":[48],"agents,":[49,144],"so":[50,111],"as":[51,151],"achieve":[53],"largest":[54],"endurance":[55],"during":[56],"processing.":[58],"Therefore,":[59],"this":[60],"paper":[61],"focuses":[62],"on":[63],"multi-objective":[65],"optimization":[66],"problem":[67],"(MOP)":[68],"case,":[71],"includes":[73],"a":[74,135],"new":[75],"policy":[76,104],"weighted":[78],"prioritized":[79],"experience":[80,107],"repay":[81],"(WPER)":[82],"improve":[84,122],"deep":[85],"Q-learning":[86,152],"network":[87],"(DQN),":[88],"which":[89],"obtain":[91,189],"optimal":[92],"costs":[93],"between":[95],"capacity.":[100],"The":[101],"proposed":[102,161,178],"WPER":[103],"enhances":[105],"pool":[108],"DQN,":[110],"distinguish":[116],"importance":[118],"empirical":[120],"samples,":[121],"sampling":[124],"efficiency":[125],"training":[128],"accuracy.":[129],"In":[130],"simulation":[131],"experiment,":[132],"we":[133,166],"construct":[134],"three-dimensional":[136],"environment":[138],"containing":[139],"AUV,":[140],"obstacles":[141],"serviced":[143],"examine":[146],"several":[147],"comparison":[148],"methods":[149],"such":[150],"its":[154],"variants":[155],"validate":[157],"performance":[159],"DQN":[162],"using":[163],"WPER.":[164],"Furthermore,":[165],"design":[168],"scenarios":[169],"simulating":[171],"situation":[172],"investigate":[174],"capability":[176],"method,":[179],"results":[182],"reveal":[183],"our":[185],"method":[186],"effectively":[188],"MOP":[190],"solution":[191],"shorter":[193],"length":[195],"larger":[197],"without":[200],"collision.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":5}],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-10-10T00:00:00"}