Intelligent clustering protocol design and optimisation in wireless sensor networks
by Melaku Tamene; Kuda Nageswara
International Journal of Communication Networks and Distributed Systems (IJCNDS), Vol. 20, No. 2, 2018

Abstract: Communication overhead is one of the big troubles in distributed clustering for which protocols that are able to guarantee limited flow of control packets shall be introduced. Considering that most of fuzzy based protocols are vulnerable to overhead of control packets in cluster setup phase, new approach has been introduced in this paper to reduce communication overhead and consequently optimising distributed cluster formation. Clusters are formed using fuzzy logic and optimal routes towards the base station are established based on ant colony optimisation (ACO) algorithm. The optimisation problem consists of finding routes towards the base station such that the tour length is minimised and the balance of energy consumption is maintained among routes in the path. The fuzzy logic and ACO toolboxes are developed in C++ and integrated with OMNeT++ simulation platform to implement the protocol. The experimental results prove that the proposed protocol extends the network lifetime compared to LEACH and CHEF protocols.

Online publication date: Fri, 09-Feb-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 Communication Networks and Distributed Systems (IJCNDS):
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