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

PROJECT TITLE :

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

ABSTRACT:

This article investigates a wireless network that is assisted by an unmanned aerial vehicle (UAV). In such a network, a UAV is sent out to collect data from ground sensor nodes (SN) and then sends the information it has gathered to a storage facility. The age of information (AoI) metric is used to determine how up-to-date the information is, while the amount of energy that the UAV consumes is also considered to be a performance criterion. Most importantly, the AoI and energy efficiency are inherently competing metrics. This is because lowering the AoI requires the UAV to return to the depot more frequently, which results in a higher amount of energy being consumed. In order to accomplish this, we design UAV routes that simultaneously optimize these two competing metrics, thereby revealing the Pareto frontier. The problem is formulated by proposing a multi-objective mixed integer linear programming (MILP) with a flow-based constraint set, and then applying Bender's decomposition to the proposed formulation of the problem. When designing the path for the UAV, the numerical results show that the proposed method makes it possible to derive solutions that are not dominated by either of two competing metrics.

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