Abstract

In this article, we consider a wireless relay network using drones as a temporary communication system in a large-scale disaster area. We assume that insufficient drones are present to maintain a wireless connection, and we apply a delay-tolerant network to this system. In this system, information is transmitted by wireless transmission between drones and their movement, and as the delivery delay mainly depends on the latter, the movement pattern of the drones, which we call a flight model, is of great importance. We utilize coverage control to handle the deployment of multiple drones and propose a novel flight model of drones using Voronoi tessellation. In the proposed model, we calculate the Voronoi cell using the predicted positions of some drones, and we associate weights with those positions to utilize the weighted Voronoi cell. Through simulation, we evaluate the relationship among the weight decay method, distribution and movement of drones, and delay characteristics. Simulation results demonstrate that the proposed flight model achieves better delay characteristics by setting appropriate weights compared to a previous flight model.

Highlights

  • In a large-scale disaster area, communication disturbance is likely to occur due to the destruction of terrestrial communication infrastructure and an increased demand for communication

  • We focus on coverage control and propose a novel flight model for drones using Voronoi tessellation in wireless relay networks

  • We focus on coverage control to address drone deployment, and propose a new flight model based on Voronoi tessellation

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Summary

INTRODUCTION

In a large-scale disaster area, communication disturbance is likely to occur due to the destruction of terrestrial communication infrastructure and an increased demand for communication. In this relay network, a delay-tolerant network (DTN) [3] is used to relay information between drones within communication range while. The proposed flight model uses the coverage control as is, and extends it to calculate the Voronoi cell by predicting the location of another drone out of the communication range based on its past destination at the time of communication.

RELATED WORK
COVERAGE CONTROL
PROPOSED FLIGHT MODEL USING VORONOI CELL
COVERAGE FLIGHT MODEL
Findings
CONCLUSION
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