RTCP: a redundancy aware topology control protocol for wireless sensor networks
by Bahia Zebbane; Manel Chenait; Chafika Benzaid; Nadjib Badache
International Journal of Information and Communication Technology (IJICT), Vol. 12, No. 3/4, 2018

Abstract: Topology control-based sleep-scheduling aims at exploiting node redundancy to save energy and extend the network lifetime, by putting as many nodes as possible in sleep mode, while maintaining a connected network. In this paper, we propose a redundancy aware topology control protocol (RTCP) for a wireless sensor network which exploits the sensor redundancy in the same region. This is achieved by dividing the network into groups so that a connected backbone can be maintained by keeping a necessary set of working nodes and turning off the redundant ones. RTCP allows applications to parameterise the desired connectivity degree. It identifies node redundancy, in terms of communication; it groups redundant nodes together according to their redundancy degrees and threshold of connectivity level. Finally, it schedules nodes in groups for active or sleep mode. The simulation results illustrate that RTCP outperforms some other existing algorithms, in terms of energy conservation, network lifetime and connectivity guarantee.

Online publication date: Mon, 19-Mar-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 Information and Communication Technology (IJICT):
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 [email protected]