{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T10:19:52Z","timestamp":1783160392292,"version":"3.54.6"},"reference-count":38,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62172298"],"award-info":[{"award-number":["62172298"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["JZ240101"],"award-info":[{"award-number":["JZ240101"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computer Communications"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1016\/j.comcom.2026.108576","type":"journal-article","created":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T07:21:25Z","timestamp":1780298485000},"page":"108576","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Thermal-aware computation offloading in UAV-assisted vehicular networks via dual-layer wavelet-enhanced deep reinforcement learning"],"prefix":"10.1016","volume":"257","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-5460-8843","authenticated-orcid":false,"given":"He","family":"Guo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhengyi","family":"Chai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yalun","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.comcom.2026.108576_b1","first-page":"23","article-title":"Vehicle computing: Vision and challenges","volume":"1","author":"Lu","year":"2023","journal-title":"J. Inf. Intell."},{"issue":"8","key":"10.1016\/j.comcom.2026.108576_b2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3555308","article-title":"Edge-computing-driven internet of things: A survey","volume":"55","author":"Kong","year":"2022","journal-title":"ACM Comput. Surv."},{"key":"10.1016\/j.comcom.2026.108576_b3","doi-asserted-by":"crossref","DOI":"10.1109\/TVT.2024.3429507","article-title":"Joint data caching and computation offloading in UAV-assisted internet of vehicles via federated deep reinforcement learning","author":"Huang","year":"2024","journal-title":"IEEE Trans. Veh. Technol."},{"key":"10.1016\/j.comcom.2026.108576_b4","doi-asserted-by":"crossref","DOI":"10.1016\/j.jnca.2022.103341","article-title":"Survey on computation offloading in UAV-enabled mobile edge computing","volume":"201","author":"Huda","year":"2022","journal-title":"J. Netw. Comput. Appl."},{"issue":"2","key":"10.1016\/j.comcom.2026.108576_b5","doi-asserted-by":"crossref","first-page":"897","DOI":"10.1109\/TWC.2020.3029051","article-title":"Power-consumption outage in beyond fifth generation mobile communication systems","volume":"20","author":"Yang","year":"2020","journal-title":"IEEE Trans. Wirel. Commun."},{"issue":"6","key":"10.1016\/j.comcom.2026.108576_b6","doi-asserted-by":"crossref","first-page":"8111","DOI":"10.1109\/TVT.2023.3237730","article-title":"Adaptive resource allocation considering power-consumption outage: A deep reinforcement learning approach","volume":"72","author":"Luo","year":"2023","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"2","key":"10.1016\/j.comcom.2026.108576_b7","doi-asserted-by":"crossref","first-page":"2089","DOI":"10.1109\/JSYST.2022.3190926","article-title":"Deep reinforcement learning for shared offloading strategy in vehicle edge computing","volume":"17","author":"Peng","year":"2022","journal-title":"IEEE Syst. J."},{"issue":"11","key":"10.1016\/j.comcom.2026.108576_b8","doi-asserted-by":"crossref","first-page":"9344","DOI":"10.1109\/JIOT.2021.3056396","article-title":"Parking edge computing: Parked-vehicle-assisted task offloading for urban VANETs","volume":"8","author":"Ma","year":"2021","journal-title":"IEEE Internet Things J."},{"issue":"2","key":"10.1016\/j.comcom.2026.108576_b9","first-page":"2169","article-title":"Mobility-aware multi-hop task offloading for autonomous driving in vehicular edge computing and networks","volume":"24","author":"Liu","year":"2022","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"2","key":"10.1016\/j.comcom.2026.108576_b10","doi-asserted-by":"crossref","first-page":"1175","DOI":"10.1007\/s10586-021-03532-9","article-title":"Task offloading method of edge computing in internet of vehicles based on deep reinforcement learning","volume":"25","author":"Zhang","year":"2022","journal-title":"Clust. Comput."},{"issue":"8","key":"10.1016\/j.comcom.2026.108576_b11","doi-asserted-by":"crossref","first-page":"8324","DOI":"10.1109\/TITS.2023.3264553","article-title":"Novel edge caching approach based on multi-agent deep reinforcement learning for internet of vehicles","volume":"24","author":"Zhang","year":"2023","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"10.1016\/j.comcom.2026.108576_b12","article-title":"New approach of computing task offloading for IOV based on sparrow search optimization strategy","volume":"46","author":"Zhang","year":"2025","journal-title":"Sustain. Comput.: Inform. Syst."},{"key":"10.1016\/j.comcom.2026.108576_b13","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.comcom.2024.06.018","article-title":"Multi-objective task offloading for highly dynamic heterogeneous vehicular edge computing: An efficient reinforcement learning approach","volume":"225","author":"Huang","year":"2024","journal-title":"Comput. Commun."},{"issue":"4","key":"10.1016\/j.comcom.2026.108576_b14","first-page":"132","article-title":"Review on offloading of vehicle edge computing","volume":"2","author":"Wang","year":"2022","journal-title":"J. Artif. Intell. Technol."},{"issue":"4","key":"10.1016\/j.comcom.2026.108576_b15","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1109\/MNET.011.2100097","article-title":"Optimizing computation offloading in satellite-UAV-served 6G IoT: A deep learning approach","volume":"35","author":"Mao","year":"2021","journal-title":"IEEE Netw."},{"key":"10.1016\/j.comcom.2026.108576_b16","article-title":"Deep reinforcement learning based computation offloading in UAV-assisted vehicular edge computing networks","author":"Yan","year":"2024","journal-title":"IEEE Internet Things J."},{"issue":"4","key":"10.1016\/j.comcom.2026.108576_b17","first-page":"781","article-title":"Service provisioning for air ground collaborative mobile edge computing","volume":"45","author":"Qu","year":"2022","journal-title":"Chinese J. Comput."},{"issue":"3","key":"10.1016\/j.comcom.2026.108576_b18","doi-asserted-by":"crossref","first-page":"3280","DOI":"10.1109\/TVT.2020.2964821","article-title":"Response delay optimization in mobile edge computing enabled UAV swarm","volume":"69","author":"Zhang","year":"2020","journal-title":"IEEE Trans. Veh. Technol."},{"key":"10.1016\/j.comcom.2026.108576_b19","doi-asserted-by":"crossref","first-page":"51575","DOI":"10.1109\/ACCESS.2022.3174127","article-title":"Delay-optimal task offloading for UAV-enabled edge-cloud computing systems","volume":"10","author":"Almutairi","year":"2022","journal-title":"IEEE Access"},{"issue":"4","key":"10.1016\/j.comcom.2026.108576_b20","doi-asserted-by":"crossref","first-page":"4981","DOI":"10.1109\/TVT.2022.3222907","article-title":"Computation offloading and resource allocation in unmanned aerial vehicle networks","volume":"72","author":"Liu","year":"2022","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"5","key":"10.1016\/j.comcom.2026.108576_b21","doi-asserted-by":"crossref","first-page":"4955","DOI":"10.1109\/TVT.2021.3072065","article-title":"UAV-aided low latency multi-access edge computing","volume":"70","author":"Yu","year":"2021","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"3","key":"10.1016\/j.comcom.2026.108576_b22","doi-asserted-by":"crossref","first-page":"970","DOI":"10.1109\/TCCN.2021.3051947","article-title":"Optimization of task scheduling and dynamic service strategy for multi-UAV-enabled mobile-edge computing system","volume":"7","author":"Luo","year":"2021","journal-title":"IEEE Trans. Cogn. Commun. Netw."},{"key":"10.1016\/j.comcom.2026.108576_b23","article-title":"Deep reinforcement learning based computation offloading in UAV-assisted vehicular edge computing networks","author":"Yan","year":"2024","journal-title":"IEEE Internet Things J."},{"issue":"4","key":"10.1016\/j.comcom.2026.108576_b24","doi-asserted-by":"crossref","first-page":"2520","DOI":"10.1109\/TMC.2023.3259394","article-title":"UAV-assisted task offloading in vehicular edge computing networks","volume":"23","author":"Dai","year":"2023","journal-title":"IEEE Trans. Mob. Comput."},{"issue":"3","key":"10.1016\/j.comcom.2026.108576_b25","doi-asserted-by":"crossref","first-page":"1932","DOI":"10.1109\/TITS.2021.3052979","article-title":"Vehicle assisted computing offloading for unmanned aerial vehicles in smart city","volume":"22","author":"Dai","year":"2021","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"10","key":"10.1016\/j.comcom.2026.108576_b26","doi-asserted-by":"crossref","first-page":"7095","DOI":"10.1109\/JIOT.2021.3071531","article-title":"Enabling efficient scheduling in large-scale UAV-assisted mobile-edge computing via hierarchical reinforcement learning","volume":"9","author":"Ren","year":"2021","journal-title":"IEEE Internet Things J."},{"issue":"6","key":"10.1016\/j.comcom.2026.108576_b27","doi-asserted-by":"crossref","first-page":"7757","DOI":"10.1109\/TVT.2023.3238040","article-title":"Edge computing enabled energy-efficient multi-UAV cooperative target search","volume":"72","author":"Luo","year":"2023","journal-title":"IEEE Trans. Veh. Technol."},{"key":"10.1016\/j.comcom.2026.108576_b28","doi-asserted-by":"crossref","DOI":"10.1145\/3652513","article-title":"Distributed computation offloading and power control for UAV-enabled internet of medical things","author":"Gao","year":"2024","journal-title":"ACM Trans. Internet Technol."},{"issue":"9","key":"10.1016\/j.comcom.2026.108576_b29","doi-asserted-by":"crossref","first-page":"6949","DOI":"10.1109\/TWC.2022.3153316","article-title":"Multi-agent deep reinforcement learning for task offloading in UAV-assisted mobile edge computing","volume":"21","author":"Zhao","year":"2022","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"10.1016\/j.comcom.2026.108576_b30","doi-asserted-by":"crossref","first-page":"68269","DOI":"10.1109\/ACCESS.2023.3292938","article-title":"Deep reinforcement learning-based computation offloading in UAV swarm-enabled edge computing for surveillance applications","volume":"11","author":"Huda","year":"2023","journal-title":"IEEE Access"},{"issue":"7","key":"10.1016\/j.comcom.2026.108576_b31","doi-asserted-by":"crossref","first-page":"8178","DOI":"10.1109\/JIOT.2024.3505143","article-title":"Stackelberg-game-based computation offloading in urban IoT systems with AAV-assisted multiaccess edge computing","volume":"12","author":"Zhou","year":"2025","journal-title":"IEEE Internet Things J."},{"issue":"4","key":"10.1016\/j.comcom.2026.108576_b32","doi-asserted-by":"crossref","first-page":"5647","DOI":"10.1109\/TVT.2023.3331363","article-title":"Edge computing task offloading optimization for a UAV-assisted internet of vehicles via deep reinforcement learning","volume":"73","author":"Yan","year":"2023","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"5","key":"10.1016\/j.comcom.2026.108576_b33","first-page":"1","article-title":"Deep reinforcement learning-based mining task offloading scheme for intelligent connected vehicles in UAV-aided MEC","volume":"29","author":"Li","year":"2024","journal-title":"ACM Trans. Des. Autom. Electron. Syst."},{"issue":"12","key":"10.1016\/j.comcom.2026.108576_b34","doi-asserted-by":"crossref","first-page":"12262","DOI":"10.1109\/TMC.2024.3406607","article-title":"Dynamic human digital twin deployment at the edge for task execution: A two-timescale accuracy-aware online optimization","volume":"23","author":"Yang","year":"2024","journal-title":"IEEE Trans. Mob. Comput."},{"issue":"1","key":"10.1016\/j.comcom.2026.108576_b35","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1109\/TMC.2019.2891736","article-title":"A multi-user mobile computation offloading and transmission scheduling mechanism for delay-sensitive applications","volume":"19","author":"Yi","year":"2019","journal-title":"IEEE Trans. Mob. Comput."},{"issue":"2","key":"10.1016\/j.comcom.2026.108576_b36","doi-asserted-by":"crossref","first-page":"2519","DOI":"10.1109\/TII.2023.3292522","article-title":"Trajectory design and bandwidth allocation considering power-consumption outage for UAV communication: A machine learning approach","volume":"20","author":"Luo","year":"2023","journal-title":"IEEE Trans. Ind. Inform."},{"issue":"11","key":"10.1016\/j.comcom.2026.108576_b37","doi-asserted-by":"crossref","first-page":"3533","DOI":"10.1109\/JSAC.2023.3310106","article-title":"Differentially private federated multi-task learning framework for enhancing human-to-virtual connectivity in human digital twin","volume":"41","author":"Okegbile","year":"2023","journal-title":"IEEE J. Sel. Areas Commun."},{"issue":"1","key":"10.1016\/j.comcom.2026.108576_b38","doi-asserted-by":"crossref","first-page":"752","DOI":"10.1109\/TVT.2017.2740724","article-title":"Distributed multiuser computation offloading for cloudlet-based mobile cloud computing: A game-theoretic machine learning approach","volume":"67","author":"Cao","year":"2017","journal-title":"IEEE Trans. Veh. Technol."}],"container-title":["Computer Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0140366426001660?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0140366426001660?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T10:10:57Z","timestamp":1783159857000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0140366426001660"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":38,"alternative-id":["S0140366426001660"],"URL":"https:\/\/doi.org\/10.1016\/j.comcom.2026.108576","relation":{},"ISSN":["0140-3664"],"issn-type":[{"value":"0140-3664","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Thermal-aware computation offloading in UAV-assisted vehicular networks via dual-layer wavelet-enhanced deep reinforcement learning","name":"articletitle","label":"Article Title"},{"value":"Computer Communications","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.comcom.2026.108576","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"108576"}}