{"id":"https://openalex.org/W7130092346","doi":"https://doi.org/10.1007/s12530-026-09799-w","title":"Chaotic dung beetle optimization\u2013enhanced multi-agent deep reinforcement learning for joint task offloading and resource allocation in multi-unmanned aerial vehicle internet of medical things networks","display_name":"Chaotic dung beetle optimization\u2013enhanced multi-agent deep reinforcement learning for joint task offloading and resource allocation in multi-unmanned aerial vehicle internet of medical things networks","publication_year":2026,"publication_date":"2026-02-17","ids":{"openalex":"https://openalex.org/W7130092346","doi":"https://doi.org/10.1007/s12530-026-09799-w"},"language":"en","primary_location":{"id":"doi:10.1007/s12530-026-09799-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s12530-026-09799-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12530-026-09799-w.pdf","source":{"id":"https://openalex.org/S202254422","display_name":"Evolving Systems","issn_l":"1868-6478","issn":["1868-6478","1868-6486"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Evolving Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s12530-026-09799-w.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004711948","display_name":"Gauri Kalnoor","orcid":"https://orcid.org/0000-0001-9970-4697"},"institutions":[{"id":"https://openalex.org/I164861460","display_name":"Manipal Academy of Higher Education","ror":"https://ror.org/02xzytt36","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Gauri Kalnoor","raw_affiliation_strings":["Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India","institution_ids":["https://openalex.org/I164861460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126277873","display_name":"Vijayalaxmi Kadrolli","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107677","display_name":"Mahatma Gandhi Mission Institute of Health Sciences","ror":"https://ror.org/01nxyxz54","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210107677"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vijayalaxmi Kadrolli","raw_affiliation_strings":["Department of Computer Engineering, Mahatma Gandhi Mission\u2019s College of Engineering and Technology, Kamothe, Navi Mumbai, Maharasthra, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Mahatma Gandhi Mission\u2019s College of Engineering and Technology, Kamothe, Navi Mumbai, Maharasthra, India","institution_ids":["https://openalex.org/I4210107677"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5004711948"],"corresponding_institution_ids":["https://openalex.org/I164861460"],"apc_list":{"value":2590,"currency":"USD","value_usd":2590},"apc_paid":{"value":2590,"currency":"USD","value_usd":2590},"fwci":6.9068,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.94865947,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"17","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.38449999690055847,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.38449999690055847,"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/T11133","display_name":"UAV Applications and Optimization","score":0.25450000166893005,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.09149999916553497,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7422000169754028},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.5041000247001648},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.48989999294281006},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.41589999198913574},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.3935999870300293},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.3643999993801117},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.3337000012397766},{"id":"https://openalex.org/keywords/lyapunov-optimization","display_name":"Lyapunov optimization","score":0.32249999046325684}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8395000100135803},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7422000169754028},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.5041000247001648},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.48989999294281006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4413999915122986},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.41589999198913574},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4147000014781952},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3953000009059906},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.3935999870300293},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3643999993801117},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3398999869823456},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.3337000012397766},{"id":"https://openalex.org/C101403955","wikidata":"https://www.wikidata.org/wiki/Q6707083","display_name":"Lyapunov optimization","level":5,"score":0.32249999046325684},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.31619998812675476},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3122999966144562},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.27489998936653137},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C196340769","wikidata":"https://www.wikidata.org/wiki/Q7698910","display_name":"Temporal difference learning","level":3,"score":0.26510000228881836},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.26409998536109924},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C199190896","wikidata":"https://www.wikidata.org/wiki/Q3509276","display_name":"Learning classifier system","level":3,"score":0.2583000063896179},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.25600001215934753},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.2533999979496002}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s12530-026-09799-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s12530-026-09799-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12530-026-09799-w.pdf","source":{"id":"https://openalex.org/S202254422","display_name":"Evolving Systems","issn_l":"1868-6478","issn":["1868-6478","1868-6486"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Evolving Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s12530-026-09799-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s12530-026-09799-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12530-026-09799-w.pdf","source":{"id":"https://openalex.org/S202254422","display_name":"Evolving Systems","issn_l":"1868-6478","issn":["1868-6478","1868-6486"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Evolving Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.759157121181488}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7130092346.pdf","grobid_xml":"https://content.openalex.org/works/W7130092346.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W79995638","https://openalex.org/W2613426128","https://openalex.org/W3188287529","https://openalex.org/W3198103443","https://openalex.org/W3200314112","https://openalex.org/W4210687304","https://openalex.org/W4320029392","https://openalex.org/W4322730972","https://openalex.org/W4377028576","https://openalex.org/W4379801107","https://openalex.org/W4379805013","https://openalex.org/W4387450808","https://openalex.org/W4389034321","https://openalex.org/W4389319287","https://openalex.org/W4389454205","https://openalex.org/W4391296275","https://openalex.org/W4392885572","https://openalex.org/W4396760389","https://openalex.org/W4396885134","https://openalex.org/W4400095304","https://openalex.org/W4400190472","https://openalex.org/W4401507664","https://openalex.org/W4403615048","https://openalex.org/W4403739870","https://openalex.org/W4405662434","https://openalex.org/W4406059588","https://openalex.org/W4407899236","https://openalex.org/W4411576724"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"The":[1,143],"rapid":[2,203],"growth":[3],"of":[4,11,150,158,199,216],"connected":[5],"medical":[6],"devices":[7],"generates":[8],"massive":[9],"volumes":[10],"heterogeneous":[12],"health":[13,38,210],"data":[14,211],"that":[15,82,175],"must":[16],"be":[17],"processed":[18],"and":[19,29,44,60,89,103,134,139,166,213,219,235,243],"transmitted":[20],"in":[21,62,169,232],"real":[22],"time.":[23],"In":[24],"such":[25],"environments,":[26],"minimizing":[27],"latency":[28,234],"energy":[30,101,236],"consumption":[31,237],"remains":[32],"a":[33,73,119],"critical":[34],"challenge":[35],"for":[36,47],"next-generation":[37],"monitoring":[39],"systems.":[40],"Existing":[41],"reinforcement":[42,80,153,184],"learning":[43,81,154,185],"optimization":[45,114],"methods":[46],"intelligent":[48],"communication":[49,85,233],"networks":[50],"face":[51],"several":[52],"challenges,":[53],"including":[54],"slow":[55],"convergence,":[56,204],"high":[57],"computational":[58,87],"overhead,":[59],"inefficiency":[61],"handling":[63],"task":[64,90],"prioritization.":[65,91],"To":[66],"resolve":[67],"these":[68],"issues,":[69],"this":[70],"work":[71],"develops":[72],"chaotic":[74,122,159,178],"dung":[75,112,160,179],"beetle":[76,113,161,180],"optimization-boosted":[77,181],"multi-agent":[78,151,182],"deep":[79,152,183],"jointly":[83,98],"optimizes":[84],"reliability,":[86],"efficiency,":[88],"A":[92],"reward":[93],"function":[94],"is":[95,116],"designed":[96],"to":[97,124,136,191],"minimize":[99],"delay,":[100],"usage,":[102],"system":[104,206],"cost":[105,207],"while":[106,246],"preserving":[107],"information":[108],"freshness.":[109],"Specifically,":[110,194],"the":[111,147,156,176,227],"process":[115],"combined":[117],"with":[118,202],"piecewise":[120],"linear":[121],"map":[123],"enhance":[125],"population":[126],"diversity,":[127],"which":[128],"significantly":[129],"improves":[130],"search":[131],"space":[132],"exploration":[133,148],"leads":[135],"faster":[137],"convergence":[138],"higher":[140],"solution":[141],"quality.":[142],"proposed":[144,177],"algorithm":[145],"enhances":[146],"capability":[149],"through":[155],"integration":[157],"optimization,":[162],"enabling":[163],"more":[164],"accurate":[165],"reliable":[167],"decision-making":[168],"real-world":[170],"applications.":[171],"Extensive":[172],"experiments":[173],"demonstrate":[174],"model":[186,228],"achieves":[187,229],"superior":[188],"performance":[189],"compared":[190],"baseline":[192],"algorithms.":[193],"it":[195],"reaches":[196],"an":[197],"accuracy":[198],"over":[200],"97.00%":[201],"reduces":[205],"under":[208],"varying":[209],"sizes":[212],"Medical":[214],"Internet":[215],"Things":[217],"devices,":[218],"maintains":[220],"robust":[221],"scalability":[222],"across":[223],"diverse":[224],"workloads.":[225],"Moreover,":[226],"significant":[230],"reductions":[231],"as":[238],"central":[239],"processing":[240],"unit":[241],"cycles":[242],"bandwidth":[244],"increase,":[245],"effectively":[247],"prioritizing":[248],"high-criticality":[249],"tasks.":[250]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-23T07:36:19.812096","created_date":"2026-02-18T00:00:00"}