Dynamic topology construction of wireless sensor network using computational geometric approach
by Sarbani Roy; Nandini Mukherjee
International Journal of Sensor Networks (IJSNET), Vol. 12, No. 4, 2012

Abstract: Monitoring a large area with wireless sensor networks (WSNs) requires a very large number of sensor nodes which entails more energy consumption. One of the main design challenges in the WSNs is energy efficiency to prolong the network operable lifetime. Generally, most of the energy is spent for radio communication between sensor nodes. Another important requirement of WSN is that it should be self-organising, i.e. sensing ranges and transmission ranges are dynamically restructured with changing topology. Moreover, sensor nodes with variable sensing and transmission ranges facilitate less energy consumption and enhance the capacity of WSN significantly. An effective approach for energy conservation is turning off extraneous nodes, while the remaining nodes stay active to provide continuous monitoring service. An efficient planning of WSN using this approach can control the energy consumption of the whole network. In this paper, by using computational geometry theoretic, we propose a general algorithmic framework for dynamic topology construction of WSN for a given environmental monitoring application.

Online publication date: Sun, 20-Jan-2013

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 Sensor Networks (IJSNET):
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