{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T13:06:37Z","timestamp":1775912797990,"version":"3.50.1"},"reference-count":145,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[2023,8,26]],"date-time":"2023-08-26T00:00:00Z","timestamp":1693008000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61971084, 62025105, 62001073, 62221005, 62272075"],"award-info":[{"award-number":["61971084, 62025105, 62001073, 62221005, 62272075"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of Chongqing","doi-asserted-by":"crossref","award":["cstc2019jcyj-cxttX0002, cstc2021ycjh-bgzxm0013, cstc2021ycjh-bgzxm0039, cstc2021jcyj-msxmX0031, CSTB2022BSXM-JCX0109, CSTB2022BSXM-JCX0110"],"award-info":[{"award-number":["cstc2019jcyj-cxttX0002, cstc2021ycjh-bgzxm0013, cstc2021ycjh-bgzxm0039, cstc2021jcyj-msxmX0031, CSTB2022BSXM-JCX0109, CSTB2022BSXM-JCX0110"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Science and Technology Research Program for Chongqing Municipal Education Commission","award":["KJZD-M202200601"],"award-info":[{"award-number":["KJZD-M202200601"]}]},{"name":"Key Cooperation Project of Chongqing Municipal Education Commission","award":["HZ2021008"],"award-info":[{"award-number":["HZ2021008"]}]},{"name":"Support Program for Overseas Students to Return to China for Entrepreneurship and Innovation","award":["cx2021003, cx2021053"],"award-info":[{"award-number":["cx2021003, cx2021053"]}]},{"name":"Key-Area Research and Development Program of Guangdong Province","award":["2021B0101400003"],"award-info":[{"award-number":["2021B0101400003"]}]},{"name":"Hong Kong RGC Research Impact Fund","award":["R5060-19"],"award-info":[{"award-number":["R5060-19"]}]},{"name":"Areas of Excellence Scheme","award":["AoE\/E-601\/22-R"],"award-info":[{"award-number":["AoE\/E-601\/22-R"]}]},{"name":"General Research Fund","award":["152203\/20E, 152244\/21E, 152169\/22E"],"award-info":[{"award-number":["152203\/20E, 152244\/21E, 152169\/22E"]}]},{"DOI":"10.13039\/501100010877","name":"Shenzhen Science and Technology Innovation Commission","doi-asserted-by":"crossref","award":["JCYJ20200109142008673"],"award-info":[{"award-number":["JCYJ20200109142008673"]}],"id":[{"id":"10.13039\/501100010877","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Comput. Surv."],"published-print":{"date-parts":[[2024,1,31]]},"abstract":"<jats:p>Unmanned Aerial Vehicles (UAVs) play an important role in the Internet of Things and form the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and low costs. However, resource constraints such as dynamic wireless channels, limited battery capacities, and computation resources of UAVs make traditional methods inefficient in the Internet of UAVs. The thriving of Mobile Edge Computing (MEC) and Machine Learning (ML) is of great significance and is promising for real-time resource allocation, trajectory design, and intelligent decision making. This survey provides a comprehensive review of key technologies, applications, solutions, and challenges based on the integration of MEC and ML in the Internet of UAVs. First, key technologies of MEC and ML are presented. Then, their integration and major issues in the Internet of UAVs are presented. Furthermore, the applications of MEC and ML in the Internet of UAVs under urban, industrial, and emergency scenarios are discussed. After that, this survey summarizes the current solutions for MEC and ML in the Internet of UAVs based on the considered issues. Finally, some open problems and challenges are discussed.<\/jats:p>\n          <jats:p\/>","DOI":"10.1145\/3604933","type":"journal-article","created":{"date-parts":[[2023,6,17]],"date-time":"2023-06-17T08:41:02Z","timestamp":1686991262000},"page":"1-31","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":105,"title":["Mobile Edge Computing and Machine Learning in the Internet of Unmanned Aerial Vehicles: A Survey"],"prefix":"10.1145","volume":"56","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7870-5524","authenticated-orcid":false,"given":"Zhaolong","family":"Ning","sequence":"first","affiliation":[{"name":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-5013-3118","authenticated-orcid":false,"given":"Hao","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4098-6399","authenticated-orcid":false,"given":"Xiaojie","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5860-0082","authenticated-orcid":false,"given":"Lei","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9831-2202","authenticated-orcid":false,"given":"Song","family":"Guo","sequence":"additional","affiliation":[{"name":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8521-5232","authenticated-orcid":false,"given":"Guoyin","family":"Wang","sequence":"additional","affiliation":[{"name":"Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1443-0776","authenticated-orcid":false,"given":"Xinbo","family":"Gao","sequence":"additional","affiliation":[{"name":"Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China"}]}],"member":"320","published-online":{"date-parts":[[2023,8,26]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3007035"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2912227"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3085319"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3121690"},{"key":"e_1_3_1_6_2","first-page":"1","volume-title":"Proceedings of the IEEE Global Communications Conference (GLOBECOM\u201918)","author":"Callegaro Davide","year":"2018","unstructured":"Davide Callegaro and Marco Levorato. 2018. Optimal computation offloading in edge-assisted UAV systems. In Proceedings of the IEEE Global Communications Conference (GLOBECOM\u201918). 1\u20136. DOI:10.1109\/GLOCOM.2018.8648099"},{"key":"e_1_3_1_7_2","first-page":"1","volume-title":"Proceedings of the IEEE Global Communications Conference (GLOBECOM\u201919)","author":"Cao Yang","year":"2019","unstructured":"Yang Cao, Lin Zhang, and Ying-Chang Liang. 2019. Deep reinforcement learning for channel and power allocation in UAV-enabled IoT systems. In Proceedings of the IEEE Global Communications Conference (GLOBECOM\u201919). 1\u20136. DOI:10.1109\/GLOBECOM38437.2019.9014055"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2022.3226193"},{"key":"e_1_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2023.3242711"},{"key":"e_1_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3075464"},{"key":"e_1_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2906789"},{"key":"e_1_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.010.2100025"},{"key":"e_1_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3174113"},{"key":"e_1_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2021.3116665"},{"key":"e_1_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.3040334"},{"key":"e_1_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3000416"},{"key":"e_1_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2906228"},{"key":"e_1_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3121281"},{"key":"e_1_3_1_19_2","first-page":"1","volume-title":"Proceedings of the IEEE Global Communications Conference (GLOBECOM\u201921)","author":"Gao Guoliang","year":"2021","unstructured":"Guoliang Gao, Liantao Wu, Ziyu Shao, Yang Yang, and Zhouyang Lin. 2021. OCDST: Offloading chained DNNs for streaming tasks. In Proceedings of the IEEE Global Communications Conference (GLOBECOM\u201921). 1\u20136. DOI:10.1109\/GLOBECOM46510.2021.9685971"},{"key":"e_1_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3114193"},{"key":"e_1_3_1_21_2","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2022.3160858"},{"key":"e_1_3_1_22_2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2954944"},{"key":"e_1_3_1_23_2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2015.2495297"},{"key":"e_1_3_1_24_2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3117974"},{"key":"e_1_3_1_25_2","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2018.2867614"},{"key":"e_1_3_1_26_2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2016.2560343"},{"key":"e_1_3_1_27_2","doi-asserted-by":"publisher","DOI":"10.1145\/3571728"},{"key":"e_1_3_1_28_2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2016.2612119"},{"key":"e_1_3_1_29_2","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.1900262"},{"key":"e_1_3_1_30_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3065102"},{"key":"e_1_3_1_31_2","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2022.3182057"},{"key":"e_1_3_1_32_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2019.2928811"},{"key":"e_1_3_1_33_2","first-page":"2198","volume-title":"Proceedings of the IEEE Conference on Computer Communications (INFOCOM\u201922)","author":"Huang Yakun","year":"2022","unstructured":"Yakun Huang, Xiuquan Qiao, Schahram Dustdar, and Yan Li. 2022. AoDNN: An auto-offloading approach to optimize deep inference for fostering mobile web. In Proceedings of the IEEE Conference on Computer Communications (INFOCOM\u201922). 2198\u20132207. DOI:10.1109\/INFOCOM48880.2022.9796763"},{"key":"e_1_3_1_34_2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3112715"},{"key":"e_1_3_1_35_2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3172936"},{"key":"e_1_3_1_36_2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3181258"},{"key":"e_1_3_1_37_2","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2021.3118696"},{"key":"e_1_3_1_38_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2019.2922614"},{"key":"e_1_3_1_39_2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3161571"},{"key":"e_1_3_1_40_2","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2946140"},{"key":"e_1_3_1_41_2","doi-asserted-by":"crossref","unstructured":"Jing Li Weifa Liang Yuchen Li Zichuan Xu Xiaohua Jia and Song Guo. 2023. Throughput maximization of delay-aware DNN inference in edge computing by exploring DNN model partitioning and inference parallelism. IEEE Transactions on Mobile Computing 22 5 (2023) 3017\u20133030. 10.1109\/TMC.2021.3125949","DOI":"10.1109\/TMC.2021.3125949"},{"key":"e_1_3_1_42_2","doi-asserted-by":"crossref","unstructured":"Jie Li Xianjie Liu Guangjie Han Shuang Cao and Xingwei Wang. 2023. TaskPOI priority-based energy balanced multi-UAVs cooperative trajectory planning algorithm in 6G networks. IEEE Transactions on Green Communications and Networking 7 2 (2023) 1052\u20131065. 10.1109\/TGCN.2022.3187097","DOI":"10.1109\/TGCN.2022.3187097"},{"key":"e_1_3_1_43_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2890999"},{"key":"e_1_3_1_44_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.2968343"},{"key":"e_1_3_1_45_2","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3198665"},{"key":"e_1_3_1_46_2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3040557"},{"key":"e_1_3_1_47_2","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3073570"},{"key":"e_1_3_1_48_2","doi-asserted-by":"crossref","unstructured":"Zhuxian Lian Pingping Ji Yajun Wang Yinjie Su Biao Jin Zhenkai Zhang Zhibin Xie and Si Li. 2022. Geometry-based UAV-MIMO channel modeling assisted by intelligent reflecting surface. IEEE Transactions on Vehicular Technology 71 6 (2022) 6698\u20136703. 10.1109\/TVT.2022.3163168","DOI":"10.1109\/TVT.2022.3163168"},{"key":"e_1_3_1_49_2","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2021.3122147"},{"key":"e_1_3_1_50_2","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2019.2906194"},{"key":"e_1_3_1_51_2","doi-asserted-by":"crossref","unstructured":"Binghong Liu Chenxi Liu and Mugen Peng. 2023. Computation offloading and resource allocation in unmanned aerial vehicle networks. IEEE Transactions on Vehicular Technology 72 4 (2023) 4981\u20134995. 10.1109\/TVT.2022.3222907","DOI":"10.1109\/TVT.2022.3222907"},{"key":"e_1_3_1_52_2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3054172"},{"key":"e_1_3_1_53_2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3142723"},{"key":"e_1_3_1_54_2","doi-asserted-by":"crossref","unstructured":"Kangcheng Liu and Ben M. Chen. 2023. Industrial UAV-based unsupervised domain adaptive crack recognitions: From database towards real-site infrastructural inspections. IEEE Transactions on Industrial Electronics 70 9 (2023) 9410\u20139420. 10.1109\/TIE.2022.3204953","DOI":"10.1109\/TIE.2022.3204953"},{"key":"e_1_3_1_55_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.2982508"},{"key":"e_1_3_1_56_2","doi-asserted-by":"crossref","unstructured":"Wenshuai Liu Bin Li Wancheng Xie Yueyue Dai and Zesong Fei. 2023. Energy efficient computation offloading in aerial edge networks with multi-agent cooperation. IEEE Transactions on Wireless Communications (2023) 1\u20131. 10.1109\/TWC.2023.3235997","DOI":"10.1109\/TWC.2023.3235997"},{"key":"e_1_3_1_57_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.3016840"},{"key":"e_1_3_1_58_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3141799"},{"key":"e_1_3_1_59_2","doi-asserted-by":"crossref","unstructured":"Zhicheng Liu Jinduo Song Chao Qiu Xiaofei Wang Xu Chen Qiang He and Hao Sheng. 2022. Hastening stream offloading of inference via multi-exit DNNs in mobile edge computing. IEEE Transactions on Mobile Computing (2022) 1\u201315. 10.1109\/TMC.2022.3218724","DOI":"10.1109\/TMC.2022.3218724"},{"key":"e_1_3_1_60_2","doi-asserted-by":"crossref","unstructured":"Jinrong Lu Shiwei Lai Junjuan Xia Maobin Tang Chengyuan Fan Jiangtao Ou and Dahua Fan. 2022. Performance analysis for IRS-assisted MEC networks with unit selection. Physical Communication 55 (2022) 101869\u2013101879. 10.1016\/j.phycom.2022.101869","DOI":"10.1016\/j.phycom.2022.101869"},{"key":"e_1_3_1_61_2","first-page":"1740","volume-title":"Proceedings of the IEEE Global Communications Conference (GLOBECOM\u201922)","author":"Lu Weidang","year":"2022","unstructured":"Weidang Lu, Yu Ding, Yunqi Feng, Guoxing Huang, Nan Zhao, Arumugam Nallanathan, and Xiaoniu Yang. 2022. Dinkelbach-guided deep reinforcement learning for secure communication in UAV-Aided MEC networks. In Proceedings of the IEEE Global Communications Conference (GLOBECOM\u201922). 1740\u20131745. DOI:10.1109\/GLOBECOM48099.2022.10001574"},{"key":"e_1_3_1_62_2","doi-asserted-by":"crossref","unstructured":"Weidang Lu Yandan Mo Yunqi Feng Yuan Gao Nan Zhao Yuan Wu and Arumugam Nallanathan. 2023. Secure transmission for multi-UAV-assisted mobile edge computing based on reinforcement learning. IEEE Transactions on Network Science and Engineering 10 3 (2023) 1270\u20131282. 10.1109\/TNSE.2022.3185130","DOI":"10.1109\/TNSE.2022.3185130"},{"key":"e_1_3_1_63_2","doi-asserted-by":"crossref","unstructured":"Junhai Luo Zhiyan Wang Ming Xia Linyong Wu Yuxin Tian and Yu Chen. 2023. Path planning for UAV communication networks: Related technologies solutions and opportunities. ACM Computing Surveys 55 9 (2023) 1\u201337. 10.1145\/3560261","DOI":"10.1145\/3560261"},{"key":"e_1_3_1_64_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3228558"},{"key":"e_1_3_1_65_2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2017.2682318"},{"key":"e_1_3_1_66_2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2017.2745201"},{"key":"e_1_3_1_67_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3143839"},{"key":"e_1_3_1_68_2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2919613"},{"key":"e_1_3_1_69_2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2902862"},{"key":"e_1_3_1_70_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3088679"},{"key":"e_1_3_1_71_2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2879459"},{"key":"e_1_3_1_72_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3118446"},{"key":"e_1_3_1_73_2","doi-asserted-by":"crossref","unstructured":"Zhaolong Ning Handi Chen Edith C. H. Ngai Xiaojie Wang Lei Guo and Jiangchuan Liu. 2023. Lightweight imitation learning for real-time cooperative service migration. IEEE Transactions on Mobile Computing (2023) 1\u201318. 10.1109\/TMC.2023.3239845","DOI":"10.1109\/TMC.2023.3239845"},{"key":"e_1_3_1_74_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2020.3025116"},{"key":"e_1_3_1_75_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.3046000"},{"key":"e_1_3_1_76_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3088663"},{"key":"e_1_3_1_77_2","doi-asserted-by":"crossref","unstructured":"Zhaolong Ning Shouming Sun Xiaojie Wang Lei Guo Song Guo Xiping Hu Bin Hu and Ricky Y. K. Kwok. 2022. Blockchain-enabled intelligent transportation systems: A distributed crowdsensing framework. IEEE Transactions on Mobile Computing 21 12 (2022) 4201\u20134217. 10.1109\/TMC.2021.3079984","DOI":"10.1109\/TMC.2021.3079984"},{"key":"e_1_3_1_78_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-020-3125-y"},{"key":"e_1_3_1_79_2","doi-asserted-by":"crossref","unstructured":"Zhaolong Ning Yuxuan Yang Xiaojie Wang Lei Guo Xinbo Gao Song Guo and Guoyin Wang. 2023. Dynamic computation offloading and server deployment for UAV-enabled multi-access edge computing. IEEE Transactions on Mobile Computing 22 5 (2023) 2628\u20132644. 10.1109\/TMC.2021.3129785","DOI":"10.1109\/TMC.2021.3129785"},{"key":"e_1_3_1_80_2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2970276"},{"key":"e_1_3_1_81_2","doi-asserted-by":"crossref","unstructured":"Sedat Ozer Huseyin Enes Ilhan Mehmet Akif Ozkanoglu and Hakan Ali Cirpan. 2023. Offloading deep learning powered vision tasks from UAV to 5G edge server with denoising. IEEE Transactions on Vehicular Technology 72 6 (2023) 8035\u20138048. 10.1109\/TVT.2023.3243529","DOI":"10.1109\/TVT.2023.3243529"},{"key":"e_1_3_1_82_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2012.120510"},{"key":"e_1_3_1_83_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2021.3136563"},{"key":"e_1_3_1_84_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3036962"},{"key":"e_1_3_1_85_2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2018.2849509"},{"key":"e_1_3_1_86_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3117792"},{"key":"e_1_3_1_87_2","doi-asserted-by":"publisher","DOI":"10.1145\/3474552"},{"key":"e_1_3_1_88_2","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.011.1900305"},{"key":"e_1_3_1_89_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2021.3098816"},{"key":"e_1_3_1_90_2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2943405"},{"key":"e_1_3_1_91_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3144654"},{"key":"e_1_3_1_92_2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3063188"},{"key":"e_1_3_1_93_2","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2021.3096673"},{"key":"e_1_3_1_94_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3213352"},{"key":"e_1_3_1_95_2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2924143"},{"key":"e_1_3_1_96_2","doi-asserted-by":"crossref","unstructured":"Fuhong Song Huanlai Xing Xinhan Wang Shouxi Luo Penglin Dai Zhiwen Xiao and Bowen Zhao. 2022. Evolutionary multi-objective reinforcement learning-based trajectory control and task offloading in UAV-assisted mobile edge computing. IEEE Transactions on Mobile Computing (2022) 1\u201318. 10.1109\/TMC.2022.3208457","DOI":"10.1109\/TMC.2022.3208457"},{"key":"e_1_3_1_97_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3109467"},{"key":"e_1_3_1_98_2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3024170"},{"key":"e_1_3_1_99_2","first-page":"1209","volume-title":"Proceedings of the IEEE Conference on Computer Communications","author":"Tan Tianxiang","year":"2022","unstructured":"Tianxiang Tan and Guohong Cao. 2022. Deep learning on mobile devices through neural processing units and edge computing. In Proceedings of the IEEE Conference on Computer Communications. 1209\u20131218. DOI:10.1109\/INFOCOM48880.2022.9796929"},{"key":"e_1_3_1_100_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2020.2968311"},{"key":"e_1_3_1_101_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2949634"},{"key":"e_1_3_1_102_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2022.3170458"},{"key":"e_1_3_1_103_2","unstructured":"Heng Wang Haijun Zhang Xiangnan Liu Keping Long and Arumugam Nallanathan. 2022. Joint UAV placement optimization resource allocation and computation offloading for THz band: A DRL approach. IEEE Transactions on Wireless Communications (2022) 1\u20131. 10.1109\/TWC.2022.3230407"},{"key":"e_1_3_1_104_2","doi-asserted-by":"crossref","unstructured":"Juzhen Wang Xiaoli Zhang Xingshi He and Yongqiang Sun. 2023. Bandwidth allocation and trajectory control in UAV-assisted IoV edge computing using multiagent reinforcement learning. IEEE Transactions on Reliability 72 2 (2023) 599\u2013608. 10.1109\/TR.2022.3192020","DOI":"10.1109\/TR.2022.3192020"},{"key":"e_1_3_1_105_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2020.3027695"},{"key":"e_1_3_1_106_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3059691"},{"key":"e_1_3_1_107_2","doi-asserted-by":"crossref","unstructured":"Wei Wang Chao Fang and Ting Liu. 2022. Multi-period unmanned aerial vehicles path planning with dynamic emergency priorities for geohazards monitoring. IEEE Transactions on Industrial Informatics 18 12 (2022) 8851\u20138859. 10.1109\/TII.2022.3153031","DOI":"10.1109\/TII.2022.3153031"},{"key":"e_1_3_1_108_2","doi-asserted-by":"crossref","unstructured":"Xiaojie Wang Jiameng Li Zhaolong Ning Qingyang Song Lei Guo Song Guo and Mohammad S. Obaidat. 2023. Wireless powered mobile edge computing networks: A survey. ACM Computing Surveys (2023) 1\u201338. 10.1145\/3579992","DOI":"10.1145\/3579992"},{"key":"e_1_3_1_109_2","doi-asserted-by":"crossref","unstructured":"Xiaojie Wang Laisen Nie Zhaolong Ning Lei Guo Guoyin Wang Xinbo Gao and Neeraj Kumar. 2022. Deep learning-based network traffic prediction for secure backbone networks in Internet of vehicles. ACM Transactions on Internet Technology 22 4 (2022) 1\u201320. 10.1145\/3433548","DOI":"10.1145\/3433548"},{"key":"e_1_3_1_110_2","doi-asserted-by":"crossref","unstructured":"Xiaojie Wang Zhaolong Ning Lei Guo Song Guo Xinbo Gao and Guoyin Wang. 2022. Mean-field learning for edge computing in mobile blockchain networks. IEEE Transactions on Mobile Computing (2022) 1\u201317. 10.1109\/TMC.2022.3186699","DOI":"10.1109\/TMC.2022.3186699"},{"key":"e_1_3_1_111_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2020.3012509"},{"key":"e_1_3_1_112_2","doi-asserted-by":"crossref","unstructured":"Xiaojie Wang Zhaolong Ning Song Guo Miaowen Wen Lei Guo and H. Vincent Poor. 2023. Dynamic UAV deployment for differentiated services: A multi-agent imitation learning based approach. IEEE Transactions on Mobile Computing 22 4 (2023) 2131\u20132146. 10.1109\/TMC.2021.3116236","DOI":"10.1109\/TMC.2021.3116236"},{"key":"e_1_3_1_113_2","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3042977"},{"key":"e_1_3_1_114_2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3158489"},{"key":"e_1_3_1_115_2","doi-asserted-by":"crossref","unstructured":"Silei Wu Wenjun Xu Fengyu Wang Guojun Li and Miao Pan. 2022. Distributed federated deep reinforcement learning based trajectory optimization for air-ground cooperative emergency networks. IEEE Transactions on Vehicular Technology 71 8 (2022) 9107\u20139112. 10.1109\/TVT.2022.3175592","DOI":"10.1109\/TVT.2022.3175592"},{"key":"e_1_3_1_116_2","doi-asserted-by":"crossref","unstructured":"Yunzhi Xia Xianjun Deng Lingzhi Yi Laurence T. Yang Xiao Tang Chenlu Zhu and Zhongping Tian. 2023. AI-driven and MEC-empowered confident information coverage hole recovery in 6G-enabled IoT. IEEE Transactions on Network Science and Engineering 10 3 (2023) 1256\u20131269. 10.1109\/TNSE.2022.3154760","DOI":"10.1109\/TNSE.2022.3154760"},{"key":"e_1_3_1_117_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3129504"},{"key":"e_1_3_1_118_2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3205410"},{"key":"e_1_3_1_119_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3112853"},{"key":"e_1_3_1_120_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2020.3025910"},{"key":"e_1_3_1_121_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.3032443"},{"key":"e_1_3_1_122_2","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2021.3111731"},{"key":"e_1_3_1_123_2","doi-asserted-by":"crossref","unstructured":"Min Xue Huaming Wu Guang Peng and Katinka Wolter. 2022. DDPQN: An efficient DNN offloading strategy in local-edge-cloud collaborative environments. IEEE Transactions on Services Computing 15 2 (2022) 640\u2013655. 10.1109\/TSC.2021.3116597","DOI":"10.1109\/TSC.2021.3116597"},{"key":"e_1_3_1_124_2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3016694"},{"key":"e_1_3_1_125_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3177664"},{"key":"e_1_3_1_126_2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2971645"},{"key":"e_1_3_1_127_2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2894727"},{"key":"e_1_3_1_128_2","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2927313"},{"key":"e_1_3_1_129_2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3094651"},{"key":"e_1_3_1_130_2","doi-asserted-by":"crossref","unstructured":"Jiadong Yu Xiaolan Liu Yue Gao Chiya Zhang and Wei Zhang. 2022. Deep learning for channel tracking in IRS-assisted UAV communication systems. IEEE Transactions on Wireless Communications 21 9 (2022) 7711\u20137722. 10.1109\/TWC.2022.3160517","DOI":"10.1109\/TWC.2022.3160517"},{"key":"e_1_3_1_131_2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2965898"},{"key":"e_1_3_1_132_2","doi-asserted-by":"crossref","unstructured":"Reza Bairam Zadeh Arkady Zaslavsky Seng W. Loke and Somaiyeh MahmoudZadeh. 2023. A multi-agent mission coordination system for continuous situational awareness of bushfires. IEEE Transactions on Automation Science and Engineering 20 2 (2023) 1275\u20131291. 10.1109\/TASE.2022.3183233","DOI":"10.1109\/TASE.2022.3183233"},{"key":"e_1_3_1_133_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3203704"},{"key":"e_1_3_1_134_2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2999063"},{"key":"e_1_3_1_135_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3076980"},{"key":"e_1_3_1_136_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2018.2880468"},{"key":"e_1_3_1_137_2","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2021.3068333"},{"key":"e_1_3_1_138_2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2948406"},{"key":"e_1_3_1_139_2","doi-asserted-by":"crossref","unstructured":"Xiaoqi Zhang Haijun Zhang Wenbo Du Keping Long and Arumugam Nallanathan. 2022. IRS empowered UAV wireless communication with resource allocation reflecting design and trajectory optimization. IEEE Transactions on Wireless Communications 21 10 (2022) 7867\u20137880. 10.1109\/TWC.2022.3162704","DOI":"10.1109\/TWC.2022.3162704"},{"key":"e_1_3_1_140_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3088669"},{"key":"e_1_3_1_141_2","doi-asserted-by":"crossref","unstructured":"Nan Zhao Zhiyang Ye Yiyang Pei Ying-Chang Liang and Dusit Niyato. 2022. Multi-agent deep reinforcement learning for task offloading in UAV-assisted mobile edge computing. IEEE Transactions on Wireless Communications 21 9 (2022) 6949\u20136960. 10.1109\/TWC.2022.3153316","DOI":"10.1109\/TWC.2022.3153316"},{"key":"e_1_3_1_142_2","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2021.3123216"},{"key":"e_1_3_1_143_2","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3104633"},{"key":"e_1_3_1_144_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2022.3222509"},{"key":"e_1_3_1_145_2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2794320"},{"key":"e_1_3_1_146_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.3048938"}],"container-title":["ACM Computing Surveys"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3604933","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3604933","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:46:37Z","timestamp":1750178797000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3604933"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,26]]},"references-count":145,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2024,1,31]]}},"alternative-id":["10.1145\/3604933"],"URL":"https:\/\/doi.org\/10.1145\/3604933","relation":{},"ISSN":["0360-0300","1557-7341"],"issn-type":[{"value":"0360-0300","type":"print"},{"value":"1557-7341","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,8,26]]},"assertion":[{"value":"2022-09-16","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-06-08","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-08-26","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}