A force-driven evolutionary approach for multi-objective 3D differentiated sensor network deployment
by Jian-Hung Chen, Chih-Wei Kang
International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), Vol. 8, No. 1/2, 2011

Abstract: Wireless Sensor Networks (WSNs) is a wireless network consisting of spatially distributed autonomous sensors to monitor physical or environmental conditions. Deciding the location of sensor to be deployed on a terrain with different criteria is an important issue for the design of WSN. A Multi-Objective Genetic Algorithm (MOGA) with a force-driven method is proposed to solve 3D differentiated WSN deployment problems with the objectives of the coverage of sensors, satisfaction of detection levels and energy conservation. The experimental results demonstrated that the proposed approach is capable of obtaining a set of non-dominated solutions for multi-objective 3D differentiated WSN deployment problems.

Online publication date: Thu, 28-Jul-2011

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 Ad Hoc and Ubiquitous Computing (IJAHUC):
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