دورية أكاديمية

Game Theory for Distributed IoV Task Offloading With Fuzzy Neural Network in Edge Computing.

التفاصيل البيبلوغرافية
العنوان: Game Theory for Distributed IoV Task Offloading With Fuzzy Neural Network in Edge Computing.
المؤلفون: Xu, Xiaolong, Jiang, Qinting, Zhang, Peiming, Cao, Xuefei, Khosravi, Mohammad R., Alex, Linss T., Qi, Lianyong, Dou, Wanchun
المصدر: IEEE Transactions on Fuzzy Systems; Nov2022, Vol. 30 Issue 11, p4593-4604, 12p
مصطلحات موضوعية: FUZZY neural networks, EDGE computing, GAME theory, TRAFFIC flow, QUALITY of service, TRANSPORTATION safety measures, REINFORCEMENT learning
مستخلص: The development of the Internet of vehicles (IoV) has spawned a series of driving assistance services (e.g., collision warning), which improves the safety and intelligence of transportation. In IoV, the driving assistance services need to be met in time due to the rapid speed of vehicles. By introducing edge computing into the IoV, the insufficiency of local computation resources in vehicles is improved, providing high quality services for users. Nevertheless, the resources provided by edge servers are often limited, which fail to meet all the needs of users in IoV simultaneously. Thereby, how to minimize the tasks processing latency of users in the case of limited edge server resources is still a challenge. To handle the above problem, a task offloading scheme fuzzy-task-offloading-and-resource-allocation (F-TORA) based on Takagi–Sugeno fuzzy neural network (T–S FNN) and game theory is designed. Primarily, the cloud server predicts the future traffic flow of each section through T–S FNN and transmits the prediction results to the roadside units (RSUs). Then, the RSU adjusts the current load based on the captured future traffic flow data. After the load balancing of each RSU, the optimal task offloading strategy is determined for the users by game theory. Following, the edge server acts as an agent to allocate computing resources for the offloaded tasks by $Q$ -learning algorithm. Finally, the robust performance of the proposed method is validated by comparative experiments. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:10636706
DOI:10.1109/TFUZZ.2022.3158000