Mobile Edge Computing in FANET

Characterized by their ease of deployment and bird’s eye view, unmanned aerial vehicles (UAVs) may be widely deployed both in surveillance and traffic management. In addition, UAVs have been widely used to provide enhanced information coverage as well as relay services for ground Internet of Things (IoT) networks. Considering the substantially limited processing capability, the IoT devices may not be able to tackle with heavy computing tasks. This impediment may be mitigated by employing the mobile edge computing (MEC) paradigm for offloading demanding and load-balance computational tasks from the UAV through a wireless transmission link. However, the offloaded information may become compromised by eavesdroppers, and latency and reliability should also be considered. Hence, how to design a UAV-aided mobile edge computing system that can achieve load-balance and efficient offloading has become a crucial issue.