Area coverage estimation model for directional sensor networks
by Zhimin Liu; Weijia Jia; Guojun Wang
International Journal of Embedded Systems (IJES), Vol. 10, No. 1, 2018

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.

Online publication date: Wed, 24-Jan-2018

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Embedded Systems (IJES):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com