Distributed Location-Aware Task Offloading in Multi-UAVs Enabled Edge Computing

Edge computing is a new paradigm which distributes tasks to edge networks for processing, it provides effective support various mobile applications meet their rapid response requirement. Unmanned Aerial Vehicle (UAV) has been widely used in emergency rescue, mapping, etc., with the advantages of flexible deployment and movement. However, on one hand, will be terminated when battery energy exhausted. On other out service devices are radio coverage UAVs. How achieve low-cost task unloading resource limited location sensitive multi-UAVs environment rather challenging. In this paper, we propose distributed location-aware offloading scheme, aiming at above issues. Specifically, create nonlinear allocation problem by combining constraints nodes random movement users, where cost function divided into static dynamic costs, respectively. Then, formulate convex optimization linear constrains, based regularization technology. The mathematical proof shows that scheme can parameterized competitive ratio without requiring any prior knowledge input task. simulation results show proposed lower services.