Title: Studying the capture of stochastic events using radar and a mobile robot

Authors: Xiannuan Liang; Yang Xiao

Addresses: Department of Computer Science, The University of Alabama, Tuscaloosa, AL 35487-0290, USA ' School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China; Department of Computer Science, The University of Alabama, Tuscaloosa, AL 35487-0290, USA

Abstract: Moving sensors, vehicular devices and mobile robots can monitor larger areas than fixed sensors do during a fixed time period. However, the benefits of adopting vehicular devices, moving sensors and robots are not well understood. In this paper, our goal is to understand the benefits better. We model intrusion detection processes via a radar and a mobile sensor/robot (or a vehicular device) mathematically. We also consider using a pair of moving sensors or robots together, and we study their detection quality. We compare the robot detection and the radar detection in terms of intrusion loss probability and the expected capture time. Our studies help to understand the benefits of understanding mobility coverage.

Keywords: vehicular devices; mobile sensors; mobile robots; radar; performance evaluation.

DOI: 10.1504/IJSNET.2017.084238

International Journal of Sensor Networks, 2017 Vol.24 No.1, pp.43 - 61

Received: 26 Nov 2016
Accepted: 26 Nov 2016
Published online: 21 May 2017 *

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