Optimization of mobile sensor coverage with UAVs

Christelle Caillouet 1 Frédéric Giroire 1 Tahiry Razafindralambo 2
1 COATI - Combinatorics, Optimization and Algorithms for Telecommunications
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - COMRED - COMmunications, Réseaux, systèmes Embarqués et Distribués
2 LIM - Laboratoire d'Informatique et de Mathématiques
Abstract : In this work, we address the optimization problem of covering a set of mobile sensors with a fleet of flying devices. The goal is to deploy a connected set of Unmanned Aerial Vehicles (UAVs) continuously monitoring the mobile sensors and reporting information to a fixed base station for efficient data collection. We propose an effective optimization model reducing the number of variables of the problem and solved using column generation. Results show that our model is tractable for large topologies with several hundreds of possible 3D locations for the UAVs deployment and provides integer solutions with the generated columns very close to the optimum. Moreover, the deployment changes among time remains low in terms of number of UAVs and cost, to maintain connectivity and minimize the data collection delay to the base station.
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https://hal.inria.fr/hal-01850442
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Christelle Caillouet, Frédéric Giroire, Tahiry Razafindralambo. Optimization of mobile sensor coverage with UAVs. 11th International Workshop on Wireless Sensor, Robot and UAV Networks (WiSARN@IEEE INFOCOM 2018), Apr 2018, Honolulu, United States. ⟨10.1109/INFCOMW.2018.8406980⟩. ⟨hal-01850442⟩

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