Comparison of Cluster Formation Algorithms Based On Fuzzy Logic Rules

Swati Atri, Dr. Nasib Singh Gill, Jaideep Atri

Abstract: In Mobile Ad-hoc Networks (MANET's); clustering is one of the best approaches to deal with the communication issues arising in the transmission of the packets from source to destination. The complete network is divided into the number of clusters and members in each cluster operate under the supervision of a node called cluster head thus; it becomes important to partition the network effectively so that maximum number of nodes can be covered by using a particular cluster head. Different strategies have been proposed till date. In this paper an earlier proposed strategy called Ant colony Based Cluster head selection algorithm have been compared to the existing lowest id based algorithm using the fuzzy logic rules.

Keywords: MANET, Clustering, Cluster head, Fuzzy, Ant Colony

How to Cite?: Swati Atri, Dr. Nasib Singh Gill, Jaideep Atri, "Comparison of Cluster Formation Algorithms Based On Fuzzy Logic Rules", Volume 3 Issue 6, June 2014, International Journal of Science and Research (IJSR), Pages: 1831-1834, https://www.ijsr.net/getabstract.php?paperid=2014637, DOI: https://dx.doi.org/10.21275/2014637