Summary
Asia-Pacific Conference on Communications
2015
Session Number:16-PM1-A
Session:
Number:16-PM1-A-1
A Mobility Prediction (MP)-based Phenomenon Monitoring in an Unbounded Area
Duc Van Le, Hoon Oh, Seokhoon Yoon,
pp.529-533
Publication Date:2015/10/14
Online ISSN:2188-5079
DOI:10.34385/proc.28.16-PM1-A-1
Summary:
The task of monitoring a moving phenomenon in an unbounded area using a mobile sensor network (MSN) brings out several challenges due to the high movement speed of phenomenon, the limited sensing/communication capabilities of mobile sensor nodes. To address the challenges and achieve a high weighted sensing coverage, in this paper we propose a monitoring algorithm, namely VirFID-MP (Virtual Force (VF)-based Interest-Driven moving phenomenon monitoring with Mobility Prediction). In VirFID-MP, the movement of phenomenon is first predicted based on its previous movements. Then, the predicted information is used to determine a global virtual force, which is utilized to speed up the MSN toward the moving phenomenon. Simulation results show that VirFID-MP outperforms original VirFID in terms of weighted coverage efficiency, when the MSN monitors a moving phenomenon.