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2015 IEEE 40th Conference on Local Computer Networks (LCN 2015) (2015)
Clearwater Beach, FL, USA
Oct. 26, 2015 to Oct. 29, 2015
ISBN: 978-1-4673-6769-1
pp: 125-132
Jun Xu , Department of Electrical Engineering and Computer Science, University of Central Florida, Orlando, USA
Gurkan Solmaz , Department of Electrical Engineering and Computer Science, University of Central Florida, Orlando, USA
Rouhollah Rahmatizadeh , Department of Electrical Engineering and Computer Science, University of Central Florida, Orlando, USA
Damla Turgut , Department of Electrical Engineering and Computer Science, University of Central Florida, Orlando, USA
Ladislau Boloni , Department of Electrical Engineering and Computer Science, University of Central Florida, Orlando, USA
ABSTRACT
In this paper, we focus on an application of wireless sensor networks (WSNs) with unmanned aerial vehicle (UAV). The aim of the application is to detect the locations of endangered species in large-scale wildlife areas or monitor movement of animals without any attachment devices. We first define the mathematical model of the animal monitoring problem in terms of the value of information (VoI) and rewards. We design a network model including clusters of sensor nodes and a single UAV that acts as a mobile sink and visits the clusters. We propose a path planning approach based on a Markov decision process (MDP) model that maximizes the VoI while reducing message delays. We used real-world movement dataset of zebras. Simulation results show that our approach outperforms greedy and random heuristics as well as the path planning based on the solution of the traveling salesman problem.
INDEX TERMS
Animals, Monitoring, Wireless sensor networks, Mathematical model, Path planning, Mobile communication, Image resolution
CITATION

J. Xu, G. Solmaz, R. Rahmatizadeh, D. Turgut and L. Boloni, "Animal monitoring with unmanned aerial vehicle-aided wireless sensor networks," 2015 IEEE 40th Conference on Local Computer Networks (LCN 2015)(LCN), Clearwater Beach, FL, USA, 2015, pp. 125-132.
doi:10.1109/LCN.2015.7366291
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