{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T03:20:32Z","timestamp":1781839232331,"version":"3.54.5"},"reference-count":49,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,7,2]],"date-time":"2024-07-02T00:00:00Z","timestamp":1719878400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,7,2]],"date-time":"2024-07-02T00:00:00Z","timestamp":1719878400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Wireless Netw"],"published-print":{"date-parts":[[2025,1]]},"DOI":"10.1007\/s11276-024-03804-3","type":"journal-article","created":{"date-parts":[[2024,7,2]],"date-time":"2024-07-02T20:41:46Z","timestamp":1719952906000},"page":"965-981","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Enhancing UAV-assisted vehicle edge computing networks through a digital twin-driven task offloading framework"],"prefix":"10.1007","volume":"31","author":[{"given":"Zhiyang","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fengli","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Minsheng","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chaosheng","family":"Feng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dajiang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,7,2]]},"reference":[{"key":"3804_CR1","doi-asserted-by":"publisher","first-page":"7234","DOI":"10.1109\/JIOT.2020.2982983","volume":"7","author":"J Hu","year":"2020","unstructured":"Hu, J., Chen, C., Qiu, T., & Pei, Q. (2020). Regional-centralized content dissemination for ev2x services in 5g mmwave-enabled iov. IEEE Internet of Things Journal, 7, 7234\u20137249.","journal-title":"IEEE Internet of Things Journal"},{"key":"3804_CR2","doi-asserted-by":"publisher","first-page":"2027","DOI":"10.1109\/COMST.2021.3089688","volume":"23","author":"F Tang","year":"2021","unstructured":"Tang, F., Mao, B., Kato, N., & Gui, G. (2021). Comprehensive survey on machine learning in vehicular network: Technology, applications and challenges. IEEE Communications Surveys & Tutorials, 23, 2027\u20132057.","journal-title":"IEEE Communications Surveys & Tutorials"},{"key":"3804_CR3","doi-asserted-by":"publisher","first-page":"2170","DOI":"10.1109\/TETC.2020.2974183","volume":"9","author":"J Chen","year":"2020","unstructured":"Chen, J., Liu, G., & Liu, Y. (2020). Lightweight privacy-preserving raw data publishing scheme. IEEE Transactions on Emerging Topics in Computing, 9, 2170\u20132174.","journal-title":"IEEE Transactions on Emerging Topics in Computing"},{"key":"3804_CR4","doi-asserted-by":"publisher","first-page":"108063","DOI":"10.1016\/j.ress.2021.108063","volume":"217","author":"Y Hu","year":"2022","unstructured":"Hu, Y., Miao, X., Si, Y., Pan, E., & Zio, E. (2022). Prognostics and health management: A review from the perspectives of design, development and decision. Reliability Engineering & System Safety, 217, 108063.","journal-title":"Reliability Engineering & System Safety"},{"key":"3804_CR5","doi-asserted-by":"publisher","first-page":"4525","DOI":"10.1109\/JSYST.2021.3099103","volume":"16","author":"J Chen","year":"2021","unstructured":"Chen, J., Liu, Y., Xiang, Y., & Sood, K. (2021). Rpptd: Robust privacy-preserving truth discovery scheme. IEEE Systems Journal, 16, 4525\u20134531.","journal-title":"IEEE Systems Journal"},{"key":"3804_CR6","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1109\/MCOMSTD.001.2000017","volume":"5","author":"J Hu","year":"2021","unstructured":"Hu, J., et al. (2021). Uav-assisted vehicular edge computing for the 6g internet of vehicles: Architecture, intelligence, and challenges. IEEE Communications Standards Magazine, 5, 12\u201318.","journal-title":"IEEE Communications Standards Magazine"},{"key":"3804_CR7","doi-asserted-by":"publisher","first-page":"2361","DOI":"10.1109\/COMST.2019.2915069","volume":"21","author":"W Khawaja","year":"2019","unstructured":"Khawaja, W., Guvenc, I., Matolak, D. W., Fiebig, U.-C., & Schneckenburger, N. (2019). A survey of air-to-ground propagation channel modeling for unmanned aerial vehicles. IEEE Communications Surveys & Tutorials, 21, 2361\u20132391.","journal-title":"IEEE Communications Surveys & Tutorials"},{"key":"3804_CR8","first-page":"201","volume":"23","author":"P Li","year":"2023","unstructured":"Li, P., et al. (2023). Eptask: Deep reinforcement learning based energy-efficient and priority-aware task scheduling for dynamic vehicular edge computing. IEEE Transactions on Intelligent Vehicles., 23, 201.","journal-title":"IEEE Transactions on Intelligent Vehicles."},{"key":"3804_CR9","doi-asserted-by":"crossref","unstructured":"Gao, H. et\u00a0al. (2023). Tbdb: Token bucket-based dynamic batching for resource scheduling supporting neural network inference in intelligent consumer electronics. IEEE Transactions on Consumer Electronics.","DOI":"10.1109\/TCE.2023.3339633"},{"key":"3804_CR10","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1109\/TMC.2021.3069911","volume":"22","author":"PA Apostolopoulos","year":"2021","unstructured":"Apostolopoulos, P. A., Fragkos, G., Tsiropoulou, E. E., & Papavassiliou, S. (2021). Data offloading in UAV-assisted multi-access edge computing systems under resource uncertainty. IEEE Transactions on Mobile Computing, 22, 175\u2013190.","journal-title":"IEEE Transactions on Mobile Computing"},{"key":"3804_CR11","doi-asserted-by":"crossref","unstructured":"Xu, Y. et\u00a0al. (2023). Heterogeneous data-driven failure diagnosis for microservice-based industrial clouds towards consumer digital ecosystems. IEEE Transactions on Consumer Electronics.","DOI":"10.1109\/TCE.2023.3337351"},{"key":"3804_CR12","doi-asserted-by":"publisher","first-page":"3665","DOI":"10.3390\/app12073665","volume":"12","author":"MF Khan","year":"2022","unstructured":"Khan, M. F., Yau, K.-L.A., Ling, M. H., Imran, M. A., & Chong, Y.-W. (2022). An intelligent cluster-based routing scheme in 5g flying ad hoc networks. Applied Sciences, 12, 3665.","journal-title":"Applied Sciences"},{"key":"3804_CR13","doi-asserted-by":"publisher","first-page":"1018","DOI":"10.1080\/09540091.2021.1997914","volume":"34","author":"S-H Wang","year":"2022","unstructured":"Wang, S.-H., Tu, C.-H., & Juang, J.-C. (2022). Automatic traffic modelling for creating digital twins to facilitate autonomous vehicle development. Connection Science, 34, 1018\u20131037.","journal-title":"Connection Science"},{"key":"3804_CR14","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1109\/TETCI.2022.3193367","volume":"7","author":"M Yi","year":"2022","unstructured":"Yi, M., Yang, P., Chen, M., & Loc, N. T. (2022). A DRL-driven intelligent joint optimization strategy for computation offloading and resource allocation in ubiquitous edge iot systems. IEEE Transactions on Emerging Topics in Computational Intelligence, 7, 39\u201354.","journal-title":"IEEE Transactions on Emerging Topics in Computational Intelligence"},{"key":"3804_CR15","unstructured":"Li, Y. (2017). Deep reinforcement learning: An overview. arXiv preprint arXiv:1701.07274."},{"key":"3804_CR16","doi-asserted-by":"crossref","unstructured":"Gao, H., Wang, X., Wei, W., Al-Dulaimi, A., & Xu, Y. (2023). Com-ddpg: task offloading based on multiagent reinforcement learning for information-communication-enhanced mobile edge computing in the internet of vehicles. IEEE Transactions on Vehicular Technology.","DOI":"10.1109\/TVT.2023.3309321"},{"key":"3804_CR17","doi-asserted-by":"publisher","first-page":"7938","DOI":"10.1109\/JIOT.2020.3042007","volume":"8","author":"L Lei","year":"2020","unstructured":"Lei, L., Tan, Y., Dahlenburg, G., Xiang, W., & Zheng, K. (2020). Dynamic energy dispatch based on deep reinforcement learning in iot-driven smart isolated microgrids. IEEE Internet of Things Journal, 8, 7938\u20137953.","journal-title":"IEEE Internet of Things Journal"},{"key":"3804_CR18","doi-asserted-by":"publisher","first-page":"2526","DOI":"10.1109\/JSAC.2021.3087254","volume":"39","author":"A Doshi","year":"2021","unstructured":"Doshi, A., Yerramalli, S., Ferrari, L., Yoo, T., & Andrews, J. G. (2021). A deep reinforcement learning framework for contention-based spectrum sharing. IEEE Journal on Selected Areas in Communications, 39, 2526\u20132540.","journal-title":"IEEE Journal on Selected Areas in Communications"},{"key":"3804_CR19","doi-asserted-by":"publisher","first-page":"4341","DOI":"10.1007\/s11063-022-10811-y","volume":"54","author":"M Yi","year":"2022","unstructured":"Yi, M., Yang, P., Du, M., & Ma, R. (2022). Dmadrl: A distributed multi-agent deep reinforcement learning algorithm for cognitive offloading in dynamic mec networks. Neural Processing Letters, 54, 4341\u20134373.","journal-title":"Neural Processing Letters"},{"key":"3804_CR20","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1109\/JSAC.2020.3036962","volume":"39","author":"H Peng","year":"2020","unstructured":"Peng, H., & Shen, X. (2020). Multi-agent reinforcement learning based resource management in mec-and uav-assisted vehicular networks. IEEE Journal on Selected Areas in Communications, 39, 131\u2013141.","journal-title":"IEEE Journal on Selected Areas in Communications"},{"key":"3804_CR21","unstructured":"Babaeizadeh, M., Frosio, I., Tyree, S., Clemons, J., & Kautz, J. (2016). Reinforcement learning through asynchronous advantage actor-critic on a gpu. arXiv preprint arXiv:1611.06256."},{"key":"3804_CR22","unstructured":"Veli\u010dkovi\u0107, P. et\u00a0al. (2017). Graph attention networks. arXiv preprint arXiv:1710.10903."},{"key":"3804_CR23","doi-asserted-by":"publisher","first-page":"5955","DOI":"10.1109\/TITS.2021.3065209","volume":"23","author":"X Jiang","year":"2021","unstructured":"Jiang, X., Yu, F. R., Song, T., & Leung, V. C. (2021). Resource allocation of video streaming over vehicular networks: A survey, some research issues and challenges. IEEE Transactions on Intelligent Transportation Systems, 23, 5955\u20135975.","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"3804_CR24","doi-asserted-by":"publisher","first-page":"100593","DOI":"10.1016\/j.jii.2024.100593","volume":"39","author":"J Chen","year":"2024","unstructured":"Chen, J., et al. (2024). Industrial blockchain threshold signatures in federated learning for unified space-air-ground-sea model training. Journal of Industrial Information Integration, 39, 100593.","journal-title":"Journal of Industrial Information Integration"},{"key":"3804_CR25","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1109\/COMST.2020.3029723","volume":"23","author":"S Gyawali","year":"2020","unstructured":"Gyawali, S., Xu, S., Qian, Y., & Hu, R. Q. (2020). Challenges and solutions for cellular based v2x communications. IEEE Communications Surveys & Tutorials, 23, 222\u2013255.","journal-title":"IEEE Communications Surveys & Tutorials"},{"key":"3804_CR26","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1108\/IJWIS-07-2023-0112","volume":"19","author":"Z Zhang","year":"2023","unstructured":"Zhang, Z., Hu, Q., Hou, G., & Zhang, S. (2023). A real-time discovery method for vehicle companion via service collaboration. International Journal of Web Information Systems, 19, 263\u2013279.","journal-title":"International Journal of Web Information Systems"},{"key":"3804_CR27","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1109\/MNET.2017.1700206","volume":"32","author":"W Shi","year":"2018","unstructured":"Shi, W., et al. (2018). Drone assisted vehicular networks: Architecture, challenges and opportunities. IEEE Network, 32, 130\u2013137.","journal-title":"IEEE Network"},{"key":"3804_CR28","doi-asserted-by":"publisher","first-page":"212","DOI":"10.1109\/MWC.001.1900323","volume":"27","author":"R Shafin","year":"2020","unstructured":"Shafin, R., et al. (2020). Artificial intelligence-enabled cellular networks: A critical path to beyond-5g and 6g. IEEE Wireless Communications, 27, 212\u2013217.","journal-title":"IEEE Wireless Communications"},{"key":"3804_CR29","doi-asserted-by":"publisher","first-page":"5520","DOI":"10.1109\/JIOT.2019.2903245","volume":"6","author":"L Ale","year":"2019","unstructured":"Ale, L., Zhang, N., Wu, H., Chen, D., & Han, T. (2019). Online proactive caching in mobile edge computing using bidirectional deep recurrent neural network. IEEE Internet of Things Journal, 6, 5520\u20135530.","journal-title":"IEEE Internet of Things Journal"},{"key":"3804_CR30","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1109\/TII.2020.3045161","volume":"18","author":"D Chen","year":"2020","unstructured":"Chen, D., et al. (2020). Magleak: A learning-based side-channel attack for password recognition with multiple sensors in iiot environment. IEEE Transactions on Industrial Informatics, 18, 467\u2013476.","journal-title":"IEEE Transactions on Industrial Informatics"},{"key":"3804_CR31","doi-asserted-by":"publisher","first-page":"7097","DOI":"10.1109\/JIOT.2020.2982292","volume":"7","author":"X Hou","year":"2020","unstructured":"Hou, X., et al. (2020). Reliable computation offloading for edge-computing-enabled software-defined iov. IEEE Internet of Things Journal, 7, 7097\u20137111.","journal-title":"IEEE Internet of Things Journal"},{"key":"3804_CR32","doi-asserted-by":"publisher","first-page":"107364","DOI":"10.1109\/ACCESS.2020.3001620","volume":"8","author":"J Liu","year":"2020","unstructured":"Liu, J., & Zhang, Q. (2020). Using imperfect transmission in mec offloading to improve service reliability of time-critical computer vision applications. Ieee Access, 8, 107364\u2013107372.","journal-title":"Ieee Access"},{"key":"3804_CR33","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1108\/IJWIS-02-2022-0039","volume":"18","author":"J Liu","year":"2022","unstructured":"Liu, J., Wu, Z., Liu, J., & Zou, Y. (2022). Cost research of internet of things service architecture for random mobile users based on edge computing. International Journal of Web Information Systems, 18, 217\u2013235.","journal-title":"International Journal of Web Information Systems"},{"key":"3804_CR34","doi-asserted-by":"publisher","first-page":"12253","DOI":"10.1109\/TVT.2021.3112853","volume":"70","author":"Y Xu","year":"2021","unstructured":"Xu, Y., Zhang, T., Loo, J., Yang, D., & Xiao, L. (2021). Completion time minimization for UAV-assisted mobile-edge computing systems. IEEE Transactions on Vehicular Technology, 70, 12253\u201312259.","journal-title":"IEEE Transactions on Vehicular Technology"},{"key":"3804_CR35","doi-asserted-by":"publisher","first-page":"2129","DOI":"10.1109\/TMC.2019.2922316","volume":"19","author":"Y Liu","year":"2019","unstructured":"Liu, Y., Li, Y., Niu, Y., & Jin, D. (2019). Joint optimization of path planning and resource allocation in mobile edge computing. IEEE Transactions on Mobile Computing, 19, 2129\u20132144.","journal-title":"IEEE Transactions on Mobile Computing"},{"key":"3804_CR36","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1016\/j.future.2022.10.029","volume":"144","author":"H Xue","year":"2023","unstructured":"Xue, H., Chen, D., Zhang, N., Dai, H.-N., & Yu, K. (2023). Integration of blockchain and edge computing in internet of things: A survey. Future Generation Computer Systems, 144, 307\u2013326.","journal-title":"Future Generation Computer Systems"},{"key":"3804_CR37","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1108\/IJWIS-08-2020-0055","volume":"16","author":"M Shengdong","year":"2020","unstructured":"Shengdong, M., Fengyu, W., Zhengxian, X., Xiao, Z., & Lunfeng, Z. (2020). Optimal path strategy for the web computing under deep reinforcement learning. International Journal of Web Information Systems, 16, 529\u2013544.","journal-title":"International Journal of Web Information Systems"},{"key":"3804_CR38","doi-asserted-by":"crossref","unstructured":"Gao, H., Wu, Y., Xu, Y., Li, R. & Jiang, Z. (2023). Neural collaborative learning for user preference discovery from biased behavior sequences. IEEE Transactions on Computational Social Systems.","DOI":"10.1109\/TCSS.2023.3268682"},{"key":"3804_CR39","doi-asserted-by":"publisher","first-page":"56700","DOI":"10.1109\/ACCESS.2018.2872753","volume":"6","author":"L Zhang","year":"2018","unstructured":"Zhang, L., et al. (2018). Energy-aware dynamic resource allocation in UAV assisted mobile edge computing over social internet of vehicles. IEEE Access, 6, 56700\u201356715.","journal-title":"IEEE Access"},{"key":"3804_CR40","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1109\/MNET.2018.1700286","volume":"32","author":"S Garg","year":"2018","unstructured":"Garg, S., Singh, A., Batra, S., Kumar, N., & Yang, L. T. (2018). Uav-empowered edge computing environment for cyber-threat detection in smart vehicles. IEEE Network, 32, 42\u201351.","journal-title":"IEEE Network"},{"key":"3804_CR41","doi-asserted-by":"publisher","first-page":"9884","DOI":"10.1109\/TVT.2022.3177664","volume":"71","author":"C Yang","year":"2022","unstructured":"Yang, C., et al. (2022). Learning based channel allocation and task offloading in temporary UAV-assisted vehicular edge computing networks. IEEE Transactions on Vehicular Technology, 71, 9884\u20139895.","journal-title":"IEEE Transactions on Vehicular Technology"},{"key":"3804_CR42","doi-asserted-by":"crossref","unstructured":"Yan, M., Xiong, R., Wang, Y. & Li, C. (2023). Edge computing task offloading optimization for a uav-assisted internet of vehicles via deep reinforcement learning. IEEE Transactions on Vehicular Technology.","DOI":"10.1109\/TVT.2023.3331363"},{"key":"3804_CR43","doi-asserted-by":"publisher","first-page":"213","DOI":"10.3390\/drones7030213","volume":"7","author":"P Zhang","year":"2023","unstructured":"Zhang, P., et al. (2023). Deep reinforcement learning based computation offloading in uav-assisted edge computing. Drones, 7, 213.","journal-title":"Drones"},{"key":"3804_CR44","doi-asserted-by":"crossref","unstructured":"Kang, H. et\u00a0al. (2023). Cooperative uav resource allocation and task offloading in hierarchical aerial computing systems: A mappo based approach. IEEE Internet of Things Journal.","DOI":"10.1109\/JIOT.2023.3240173"},{"key":"3804_CR45","doi-asserted-by":"publisher","first-page":"8007","DOI":"10.1109\/TII.2022.3174113","volume":"18","author":"RW Coutinho","year":"2022","unstructured":"Coutinho, R. W., & Boukerche, A. (2022). Uav-mounted cloudlet systems for emergency response in industrial areas. IEEE Transactions on Industrial Informatics, 18, 8007\u20138016.","journal-title":"IEEE Transactions on Industrial Informatics"},{"key":"3804_CR46","doi-asserted-by":"publisher","first-page":"965","DOI":"10.1109\/TITS.2017.2777909","volume":"19","author":"J Almeida","year":"2018","unstructured":"Almeida, J., Ferreira, J., & Oliveira, A. S. (2018). A medium guardian for enhanced dependability in safety-critical wireless systems. IEEE Transactions on Intelligent Transportation Systems, 19, 965\u2013976.","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"3804_CR47","doi-asserted-by":"crossref","unstructured":"Hoa, N.\u00a0T., Luong, N.\u00a0C., Van\u00a0Le, D., & Niyato, D. et\u00a0al. (2023). Deep reinforcement learning for multi-hop offloading in uav-assisted edge computing. IEEE Transactions on Vehicular Technology.","DOI":"10.1109\/TVT.2023.3292815"},{"key":"3804_CR48","doi-asserted-by":"crossref","unstructured":"Bisong, E. & Bisong, E. (2019). An overview of google cloud platform services. Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners 7\u201310.","DOI":"10.1007\/978-1-4842-4470-8_2"},{"key":"3804_CR49","doi-asserted-by":"crossref","unstructured":"Siavashi, A. & Momtazpour, M. (2023). Gpu cluster dynamics: Insights from alibaba\u2019s 2023 trace release.","DOI":"10.21203\/rs.3.rs-3509222\/v1"}],"container-title":["Wireless Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11276-024-03804-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11276-024-03804-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11276-024-03804-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,4]],"date-time":"2025-02-04T09:33:16Z","timestamp":1738661596000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11276-024-03804-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,2]]},"references-count":49,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,1]]}},"alternative-id":["3804"],"URL":"https:\/\/doi.org\/10.1007\/s11276-024-03804-3","relation":{},"ISSN":["1022-0038","1572-8196"],"issn-type":[{"value":"1022-0038","type":"print"},{"value":"1572-8196","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7,2]]},"assertion":[{"value":"17 June 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 July 2024","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}