Optimization of the energy efficiency in Smart Internet of Vehicles assisted by MEC

Abstract Smart Internet of Vehicles (IoV) as a promising application in Things emerges with the development fifth generation mobile communication (5G). Nevertheless, heterogeneous requirements sufficient battery capacity, powerful computing ability and energy efficiency for electric vehicles face great challenges due to explosive data growth 5G sixth (6G) networks. In order alleviate deficiencies mentioned above, this paper proposes edge (MEC) enabled IoV system, which vehicle nodes upload download through an anchor node is integrated MEC server. Meanwhile, transmitters radio signal simultaneous wireless information power transfer technology so compensate limitation eletric vehicles. Moreover, spectrum further improved by multi-input multi-output full-duplex technologies equipped at node. consideration issues we maximize average jointly optimize CPU frequency, transmitting power, tasks uplink rate. Since problem nonconvex, propose novel alternate interior-point iterative scheme (AIIS) under constraints tasks, consumption time latency. Results discussion section verifies effectiveness proposed AIIS comparing benchmark schemes.