Title: Area coverage estimation model for directional sensor networks

Authors: Zhimin Liu; Weijia Jia; Guojun Wang

Addresses: School of Information Science and Engineering, Central South University, Changsha, Hunan, 410083, China ' School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China ' School of Computer Science and Educational Software, Guangzhou University, Guangzhou, Guangdong, 510006, China; School of Information Science and Engineering, Central South University, Changsha, Hunan, 410083, China

Abstract: Recently, directional sensor networks (DSNs) have received a great deal of attention owing to their wide range of applications in different fields. A directional sensor has a smaller angle of sensing range compared to an omni-directional sensor. Coverage is one of the fundamental problems of directional sensor networks at present, which reflects how well the environment is monitored. In this paper, we propose a coverage estimation model to estimate coverage problem with boundary effect. In order to guide initial deployment of DSNs and better meet requirements with certain initial coverage probability effectively, a novel probability-based area coverage estimation model with boundary effect, named PCPMB, is proposed. Simulation results show that our proposed model outperforms the previous proposed model without boundary effect.

Keywords: directional sensor networks; area coverage; coverage estimation; node estimation.

DOI: 10.1504/IJES.2018.089432

International Journal of Embedded Systems, 2018 Vol.10 No.1, pp.13 - 21

Received: 12 Oct 2015
Accepted: 26 Feb 2016

Published online: 18 Jan 2018 *

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