An Overview of Weight-Based Clustering in MANETs

Bassim A. Jumaa, Mustafa M. Hadi

Abstract: Clustering in Mobile Ad-Hoc Networks (MANETs) is an important method to overcome some MANET challenges, such as scalability and power efficiency. This paper gives an overview of weight-based clustering algorithms, which is a flexible category of algorithms for selecting clusterheads in MANET clusters. These algorithms use clever techniques to increase the network stability (reduce the number of required reclustering and reaffiliation operations. They use multiple weighted parameters (such as mobility and residual power) to select the most suitable clusterhead in each cluster. Parameters weights can be adjusted to fit different application scenarios.

Keywords: clustering algorithms, clusterhead, MANET, WCA, weight-based clustering

How to Cite?: Bassim A. Jumaa, Mustafa M. Hadi, "An Overview of Weight-Based Clustering in MANETs", Volume 8 Issue 2, February 2019, International Journal of Science and Research (IJSR), Pages: 878-881, https://www.ijsr.net/getabstract.php?paperid=ART20195172, DOI: https://dx.doi.org/10.21275/ART20195172