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| With the rapid development of Internet of Things devices,delay-sensitive and computationally intensive mobile applicationsmake computing resources inevitably insufficient.Thus, Unmanned Aerial Vehicles (UAVs) devices become a reliable relay nodedue to the mobility, which can provide users with extensive communications and more computing capabilities.Our proposed scheme aims to optimize the offloading decision ofthe computing tasks requested by all users and the allocation of computing resources to minimize overallenergy consumption within constrained computing and maximum delay.To solve the optimization problem, wepropose an efficient UAV-Cloud-Offloading-Caching (UCOC) algorithm,which includes an iterative algorithm for offloading decisions of user request and a remote system (the UAVs system and the cloud system)cache updating algorithm.Our simulation results show that the proposed algorithm can significantly reduce the overall energy consumption ofthe whole system by 13\% to 33\%. |
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| Keywords:computation offloading, cache updating strategy, optimization,unmanned aerial vehicle (UAV). |
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