TITLE:
A Hybrid Weight-Based Clustering Algorithm for Wireless Sensor Networks
AUTHORS:
Cheikh Sidy Mouhamed Cisse, Cheikh Sarr
KEYWORDS:
Wireless Sensor Network (WSN), Cluster Head, Cluster, Election, Weight, Hybrid Metric
JOURNAL NAME:
Open Access Library Journal,
Vol.2 No.5,
May
28,
2015
ABSTRACT: Clustering in wireless sensor network (WSN) is an efficient way to structure
and organize the network. The cluster head (CH) forms dominant set in the network
responsible for the creation of clusters, maintenance
of the topology and data aggregation. A cluster head manages the resource
allocation to all the nodes belonging to its cluster. In this paper, we propose
a novel distributed clustering approach called Hybrid Weight-based Clustering Algorithm
(HWCA). HWCA considers the neighborhood, the
distance from the base station combined with the consumed energy as a hybrid metric
to elect cluster head. The time required to identify the cluster head does not depend
on the number of node and can be computed in
a finite number of iterations. Our solution also aims to provide better performance
such as maximizing the life time, reducing the number of lost frames in order
to satisfy application requirements. Simulation results show that HWCA improves
the network lifetime and reduces the number of lost frames compared with other
similar approaches.