Title: Optimal deployment of a distributed IoT acoustic surveillance system

Authors: Manal Omer Bin Hamza; Leena Abdullah Alghamdi; Mohamed K. Watfa

Addresses: Department of Engineering and Engineering Science, University of Wollongong Dubai, Dubai Knowledge Park, P.O. Box 20183, Dubai, United Arab Emirates ' Department of Engineering and Engineering Science, University of Wollongong Dubai, Dubai Knowledge Park, P.O. Box 20183, Dubai, United Arab Emirates ' Department of Engineering and Engineering Science, University of Wollongong Dubai, Dubai Knowledge Park, P.O. Box 20183, Dubai, United Arab Emirates

Abstract: In this study, the deployment of distributed Internet of Things (IoT) acoustic sensors using a real-time scenario is rigorously analysed. Simulation results indicate that in an ideal situation, with no obstacles, the proposed sensor count remained constant with a 99% efficiency, even with an increase in the count of dangerous events. We observed a rise in the count of sensors with the increase in obstacles and the total area under study. Our study also confirms that any increment beyond the obtained optimal count of the sensors will not necessarily affect efficiency. Moreover, the total detection rate verified that the optimal placement of the acoustic sensors requires fewer sensors than any randomly placed sensors, to achieve a 99% efficiency. To our knowledge, the proposed research work in this paper specific to acoustic surveillance using a non-traditional IoT cloud architecture has not been previously investigated in the literature.

Keywords: surveillance; acoustic; simulation; IoT; Internet of Things; sensors; sound detection; regression; obstacles; dangerous events; optimal sensors; optimal deployment.

DOI: 10.1504/IJSNET.2021.117960

International Journal of Sensor Networks, 2021 Vol.37 No.1, pp.1 - 13

Received: 10 Dec 2020
Accepted: 28 Dec 2020

Published online: 22 Sep 2021 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article