Animal Monitoring With Unmanned Aerial Vehicle-Aided Wireless Sensor Networks

Keywords

animal monitoring; MDP; path planning; UAV; unmanned aerial vehicle; value of information

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.

Publication Date

12-24-2015

Publication Title

Proceedings - Conference on Local Computer Networks, LCN

Volume

26-29-October-2015

Number of Pages

125-132

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/LCN.2015.7366291

Socpus ID

84973868609 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84973868609

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