Abstract
For providing wireless connectivity and facilitating a capacity boost under transient high service load situations a substitute or auxiliary fast-deployable network is instrumental. Unmanned Aerial Vehicle (UAV) networks are well suited for such needs owing to their high mobility and agility. This paper considers a software-defined edge network consisting of UAVs equipped with wireless access points which serve mobile users with latency-sensitive workload in an edge-to-cloud continuum setting. It investigates the task offloading paradigm to provide prioritized services via this on-demand aerial network. Accordingly a task processing optimization model is defined to minimize the overall penalty calculated based on priority-weighted delay values against a priori defined task deadlines. Since the defined assignment problem is NP-hard tailored heuristic models are proposed and evaluated to study how the system performs under different operating conditions
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