Title: Simulation analysis of the wild animal observation system

Authors: Lin Hui; Kuei Min Wang; Yung-Hui Chen; Fu-Yi Hung

Addresses: Department of Innovative Information and Technology, Tamkang University, No. 180, Linwei Rd., Jiaoxi Township, Yilan County 26247, Taiwan ' Department of Information Management, Shih Chien University, No. 200 University Road, Neimen, Kaohsiung 84550, Taiwan ' Department of Computer Information and Network Engineering, Lunghwa University of Science and Technology, No. 300, Sec. 1, Wanshou Rd., Guishan District, Taoyuan City, 33306, Taiwan ' Department of Innovative Information and Technology, Tamkang University, No. 180, Linwei Rd., Jiaoxi Township, Yilan County 26247, Taiwan

Abstract: The Chinese white dolphin, along the west coast of Taiwan, is claimed as on the brink of distinction species. A top priority before entering the policy process of conservation is to have a well plan of accurate observation. Objective of this paper is to evaluate a proposed novel alternative, which applies the internet of thing (IoT) concept, in the observation of wild animal instead of the conventional way which is manpower intensive. The IoT observation system is consisted of the hydrophone laid on the sea floor, camera/IR sensor carried by quadcopter, and land control center. Monte Carlo simulation was developed for getting insight of the interaction between dolphin and IoT observation system. The result showed IoT observation system has a significant effect. The contribution this paper made is to prove that the IoT observation system is far more cost effectively than the manpower intensive boat watching method.

Keywords: dolphin; hydrophone; observation system; simulation; unmanned aerial vehicle; UAV.

DOI: 10.1504/IJSHC.2020.111161

International Journal of Social and Humanistic Computing, 2020 Vol.3 No.3/4, pp.205 - 215

Received: 02 Feb 2019
Accepted: 01 Mar 2019
Published online: 12 Nov 2020 *

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