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Communication Dans Un Congrès Année : 2022

Trajectory Optimization for Fast Sensor Energy Replenishment using UAVs as RF sources

Résumé

The problem of the lifetime of connected objects, in most use cases (Industrial Internet of Things (IIoT), disaster management, etc.) is an essential element of the proposed solutions. Radio frequency (RF) harvesting of sensor batteries is an attractive solution, however, it does not scale up if it has to be done by human operators, and becomes impossible if the objects are located in unreachable places. An innovative solution consists of using fleets of drones to take care of this regular recharge. In this paper, we focus on the self-organised deployment of a fleet of drones to solve this problem, taking into account the multiple constraints involved. We propose a two-step optimization framework based on an optimal orchestration solution to reduce the recharging time of a complete sensor system, by optimizing the number of drones, the overall flight time and their energy consumption. We illustrate the performance of our framework that ensures the drones avoid conflicts to guarantee a higher energy harvesting efficiency (establishment of optimal drone positions and planning of the global flight plan).
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Dates et versions

hal-03767913 , version 1 (02-09-2022)

Identifiants

Citer

Igor Dias da Silva, Yann Busnel, Christelle Caillouet. Trajectory Optimization for Fast Sensor Energy Replenishment using UAVs as RF sources. GLOBECOM 2022 - IEEE Global Communications Conference, Dec 2022, Rio de Janeiro / Hybrid, Brazil. pp.1-6, ⟨10.1109/GLOBECOM48099.2022.10001604⟩. ⟨hal-03767913⟩
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