A method for optimized deployment of a network of surveillance aerial drones

Hailong Huang; Andrey V. Savkin

doi:10.1109/JSYST.2019.2910080

A method for optimized deployment of a network of surveillance aerial drones

Hailong Huang, Andrey V. Savkin

Research output: Journal article publication › Journal article › Academic research › peer-review

84 Citations (Scopus)

Abstract

This letter considers the deployment problem for a network of aerial drones to maximize the coverage of an area for surveillance and monitoring. A distributed optimization model is proposed and a coverage maximizing algorithm is developed. It is proved that the proposed algorithm converges to a local maximum in a finite number of steps. Simulations with a real dataset demonstrate the effectiveness of the algorithm.

Original language	English
Pages (from-to)	4474-4477
Journal	IEEE Systems Journal
Volume	13
Issue number	4
DOIs	https://doi.org/10.1109/JSYST.2019.2910080
Publication status	Published - Dec 2019
Externally published	Yes

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10.1109/JSYST.2019.2910080

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title = "A method for optimized deployment of a network of surveillance aerial drones",

abstract = "This letter considers the deployment problem for a network of aerial drones to maximize the coverage of an area for surveillance and monitoring. A distributed optimization model is proposed and a coverage maximizing algorithm is developed. It is proved that the proposed algorithm converges to a local maximum in a finite number of steps. Simulations with a real dataset demonstrate the effectiveness of the algorithm.",

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AB - This letter considers the deployment problem for a network of aerial drones to maximize the coverage of an area for surveillance and monitoring. A distributed optimization model is proposed and a coverage maximizing algorithm is developed. It is proved that the proposed algorithm converges to a local maximum in a finite number of steps. Simulations with a real dataset demonstrate the effectiveness of the algorithm.

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JO - IEEE Systems Journal

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A method for optimized deployment of a network of surveillance aerial drones

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