4.7 Article

Joint Coverage, Connectivity, and Charging Strategies for Distributed UAV Networks

Journal

IEEE TRANSACTIONS ON ROBOTICS
Volume 34, Issue 4, Pages 883-900

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TRO.2018.2839087

Keywords

Aerial robotics; battery recharge scheduling; force control; game theory; networked robots; sensor networks

Categories

Funding

  1. ALMAIDEA UniBO Grant Senior Project: BeeDrones: Environmental monitoring systems based on ultralow power sensor nodes and aerial communications

Ask authors/readers for more resources

This paper proposes deployment strategies for consumer unmanned aerial vehicles (UAVs) to maximize the stationary coverage of a target area and to guarantee the continuity of the service through energy replenishment operations at ground charging stations. The three main contributions of our work are as follows. 1) A centralized optimal solution is proposed for the joint problem of UAV positioning for a target coverage ratio and scheduling the charging operations of the UAVs that involves travel to the ground station. 2) A distributed game-theory-based scheduling strategy is proposed using normal-form games with rigorous analysis on performance bounds. Furthermore, a bio-inspired scheme using attractive/repulsive spring actions are used for distributed positioning of the UAVs. 3) The cost-benefit tradeoffs of different levels of cooperation among the UAVs for the distributed charging operations is analyzed. This paper demonstrates that the distributed deployment using only 1-hopmessaging achieves approximation of the centrally computed optimum, in terms of coverage and lifetime.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available