Tracking Multiple Moving Assets with a Smaller Group of Drones

A limited number of drones must monitor a large number of assets whose future motions are unknown, ensuring that each asset is monitored by at least one drone. The ideal configuration places the drone’s sensors as close as possible to their assets. This objective is achieved by minimizing the altitude of all drones, which in turn reduces the total area of their ground coverage footprints. There exists an optimal assignment of assets to drones. However, if the assets are moving, then the optimal assignment is not static. Assets must instead be swapped between drones.We present centralized and decentralized methods to cluster our moving assets statically each control iteration, and then our cover algorithm guarantees continuous 100% coverage over our moving assets while minimizing the total area covered by drones.

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Publication Details

Published
2025-08-17
DOI
https://doi.org/10.1109/case58245.2025.11164124
Primary Topic
Insurance, Mortality, Demography, Risk Management
Type
article
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Tracking Multiple Moving Assets with a Smaller Group of Drones

Michael Yannuzzi, Aaron T. Becker, S. Rajasekaran, Mohammadreza Shahsavar et al.
Insurance, Mortality, Demography, Risk Management
article

Tracking Multiple Moving Assets with a Smaller Group of Drones

Michael Yannuzzi, Aaron T. Becker, S. Rajasekaran, Mohammadreza Shahsavar, Richard Kabin
article en

Abstract

A limited number of drones must monitor a large number of assets whose future motions are unknown, ensuring that each asset is monitored by at least one drone. The ideal configuration places the drone’s sensors as close as possible to their assets. This objective is achieved by minimizing the altitude of all drones, which in turn reduces the total area of their ground coverage footprints. There exists an optimal assignment of assets to drones. However, if the assets are moving, then the optimal assignment is not static. Assets must instead be swapped between drones.We present centralized and decentralized methods to cluster our moving assets statically each control iteration, and then our cover algorithm guarantees continuous 100% coverage over our moving assets while minimizing the total area covered by drones.

University of Houston (US)
Openalex Percentile: Top 55%
Insurance, Mortality, Demography, Risk Management
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