Energy and Age Pareto Optimal Trajectories in UAV-Assisted Wireless Data Collection

This paper studies an unmanned aerial vehicle (UAV)-assisted wireless network, where a UAV is dispatched to gather information from ground sensor nodes (SN) and transfer the collected data depot. The freshness captured by age of (AoI) metric, whilst energy consumption seen as another performance criterion. Most importantly, AoI efficiency are inherently competing metrics, since decreasing requires returning depot more frequently, leading higher consumption. To this end, we design paths that optimize these two metrics reveal Pareto frontier. formulate problem, multi-objective mixed integer linear programming (MILP) proposed with flow-based constraint set apply Bender's decomposition on formulation. overall outcome shows method allows deriving non-dominated solutions for decision making based collection. Numerical results provided corroborate our study presenting front objectives effect trajectory.