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Multimedia Comput. Commun. Appl."],"published-print":{"date-parts":[[2022,6,30]]},"abstract":"<jats:p>With the prosperity of Industry 4.0, numerous emerging industries continue to gain popularity and their market scales are expanding ceaselessly. The Internet of Vehicles (IoV), one of the thriving intelligent industries, enjoys bright development prospects. However, at the same time, the reliability and availability of IoV applications are confronted with two major bottlenecks of time delay and energy consumption. To make matters worse, massive heterogeneous and multi-dimensional multimedia data generated on the IoV present a huge obstacle to effective data analysis. Fortunately, the advent of edge computing technology enables tasks to be offloaded to edge servers, which significantly reduces total overhead of IoV systems. Deep reinforcement learning (DRL), equipped with its excellent perception and decision-making capability, is undoubtedly a dominant technology to solve task offloading problems. In this article, we first employ an optimized Fuzzy C-means algorithm to cluster vehicles and other edge devices according to their respective service quality requirements. Then, we employ an election algorithm to assist in maintaining the stability of the IoV. Last, we propose a task-offloading algorithm based on the Deep Q Network (DQN) to acquire an optimal task offloading scheme. Massive simulation experiments demonstrate the superiority of our method in minimizing time delay and energy consumption.<\/jats:p>","DOI":"10.1145\/3548687","type":"journal-article","created":{"date-parts":[[2022,7,21]],"date-time":"2022-07-21T12:19:46Z","timestamp":1658405986000},"page":"1-24","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":31,"title":["Deep Q Network\u2013Driven Task Offloading for Efficient Multimedia Data Analysis in Edge Computing\u2013Assisted IoV"],"prefix":"10.1145","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1379-0526","authenticated-orcid":false,"given":"Chenyi","family":"Yang","sequence":"first","affiliation":[{"name":"School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4879-9803","authenticated-orcid":false,"given":"Xiaolong","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Computer and Software, Nanjing University of Information Science and Technology, China, Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, China, State Key Laboratory Novel Software Technology, Nanjing University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3488-4679","authenticated-orcid":false,"given":"Xiaokang","family":"Zhou","sequence":"additional","affiliation":[{"name":"Faculty of Data Science, Shiga University, Japan, RIKEN Center for Advanced Intelligence Project, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9875-9856","authenticated-orcid":false,"given":"Lianyong","family":"Qi","sequence":"additional","affiliation":[{"name":"School of Computer Science, Qufu Normal University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,10,6]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3077449"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2018.08.019"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3105478"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1145\/2990473"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2017.2762745"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2020.2987846"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3168611"},{"key":"e_1_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1145\/3473037"},{"key":"e_1_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1145\/3447032"},{"key":"e_1_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.26599\/BDMA.2020.9020029"},{"key":"e_1_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.26599\/BDMA.2021.9020016"},{"key":"e_1_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2017.2711014"},{"key":"e_1_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2016.2579198"},{"key":"e_1_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1145\/3401979"},{"key":"e_1_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.26599\/TST.2019.9010062"},{"key":"e_1_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2022.3142265"},{"key":"e_1_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.26599\/TST.2021.9010046"},{"key":"e_1_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1145\/3529107"},{"key":"e_1_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2019.8914581"},{"key":"e_1_3_1_21_2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3130434"},{"key":"e_1_3_1_22_2","volume-title":"Fuzzy Cluster Analysis: Methods for Classification, Data Analysis and Image Recognition","author":"H\u00f6ppner Frank","year":"1999","unstructured":"Frank H\u00f6ppner, Frank Klawonn, Rudolf Kruse, and Thomas Runkler. 1999. 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