Paper Info
Title
Minimal Induced Traffic for Cluster Formation in Wireless Sensor Networks: A Quantitative Analysis
Abstract
Clustering approach is one of the most used routing methodologies for wireless sensor network. However, most of the clustering practices make use of greedy cluster head formation process, wherein each node broadcasts its interest in becoming cluster head which is both energy and network intensive. In this paper we present a mechanism for efficient clustering formation, wherein an optimal number of nodes are identified which can take part in clustering formation process. The gains achieved are both energy efficiency and reduced network traffic. In a uniformly placed sensor nodes network, our algorithm comes up with an energy efficient clustering scheme by reducing the number of nodes which take part in clustering process. We have made use of network density as a parameter for creating cluster in the network. A numerical analysis is presented for varying network topologies and simulations are conducted to verify that with increased area coverage, the number of edge nodes become increasingly large, thus contributing to energy gain and less network traffic size.
Year
DOI
Venue
2007
10.1109/COMSWA.2007.382474
Bangalore
Keywords
Field
DocType
telecommunication network routing,telecommunication network topology,telecommunication traffic,wireless sensor networks,cluster formation,cluster head formation,network density,network routing,network topology,network traffic,node broadcast,quantitative analysis,wireless sensor networks
Key distribution in wireless sensor networks,Data stream clustering,Computer science,Computer network,Network topology,Hierarchical network model,Mobile wireless sensor network,Cluster analysis,Network traffic control,Wireless sensor network,Distributed computing
Conference
ISBN
Citations 
PageRank 
1-4244-0613-7
0
0.34
References 
Authors
7
3
Name
Order
Citations
PageRank
Saad Ahmed Munir1614.20
Irfan Ahmed2253.56
Jian Ma348544.76