Intelligent Computation Offloading Mechanism of UAV in Edge Computing

With the recent technological progress and the reduction of manufacturing costs, UAVs have attracted more and more attention in various applications such as cargo transportation, shooting, rescue and search, as well as wireless platforms. UA V is very important in wireless area because it is able to help improve communication quality. In the wireless network edge computing scenario, a low delay oriented multi-UA V computation offloading service strategy is proposed. Wireless network base stations usually work in multi-channel environment. There are multiple UA V devices to achieve effective access coordination to meet the challenge of computation offloading. Aiming at the problem of resource constraints in computation offloading, a resource optimal allocation model and a discrete bat algorithm for multi-UA V equipment energy consumption, transmission delay and computing delay are proposed. Compared with other swarm intelligence optimization algorithms, this algorithm can effectively shorten the average delay of task offloading.