Heterogeneous Fixed-wing Aerial Vehicles for Resilient Coverage of an Area

TL;DR

This paper introduces a distributed method for heterogeneous fixed-wing UAVs to provide resilient, persistent coverage over arbitrary areas, recovering from multiple failures through hierarchical square packing and altitude adjustments.

Contribution

It proposes a novel distributed coverage and failure recovery approach using hierarchical square packing and multi-altitude deployment for fixed-wing UAVs.

Findings

Effective coverage achieved with hierarchical square packing.

Resilience demonstrated through UAV failure recovery.

Simulation confirms scalability and adaptability.

Abstract

This paper presents a distributed approach to provide persistent coverage of an arbitrarily shaped area using heterogeneous coverage of fixed-wing unmanned aerial vehicles (UAVs), and to recover from simultaneous failures of multiple UAVs. The proposed approach discusses level-homogeneous deployment and maintenance of a homogeneous fleet of fixed-wing UAVs given the boundary information and the minimum loitering radius. The UAVs are deployed at different altitude levels to provide heterogeneous coverage and sensing. We use an efficient square packing method to deploy the UAVs, given the minimum loiter radius and the area boundary. The UAVs loiter over the circles inscribed over these packing squares in a synchronized motion to fulfill the full coverage objective. An top-down hierarchy of the square packing, where each outer square (super-square) is partitioned into four equal-sized inner squares (sub-square), is exploited to introduce resilience in the deployed UAV-network. For a failed sub-square UAV, a replacement neighbor is chosen considering the effective coverage and deployed to the corresponding super-square at a higher altitude to recover full coverage, trading-off with the quality of coverage of the sub-area. This is a distributed approach as all the decision making is done within close range of the loss region, and it can be scaled and adapted to various large scale area and UAV configurations. Simulation results have been presented to illustrate and verify the applicability of the approach.