Asymptotically optimal deployment of drones for surveillance and monitoring

Andrey V. Savkin, Hailong Huang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

This paper studies the problem of placing a set of drones for surveillance of a ground region. The main goal is to determine the minimum number of drones necessary to be deployed at a given altitude to monitor the region. An easily implementable algorithm to estimate the minimum number of drones and determine their locations is developed. Moreover, it is proved that this algorithm is asymptotically optimal in the sense that the ratio of the number of drones required by this algorithm and the minimum number of drones converges to one as the area of the ground region tends to infinity. The proof is based on Kershner’s theorem from combinatorial geometry. Illustrative examples and comparisons with other existing methods show the efficiency of the developed algorithm.
Original languageEnglish
Article number2068
JournalSensors
Volume19
Issue number9
Publication statusPublished - 3 May 2019

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