Title
Energy Residue Aware (ERA) Clustering Algorithm for Leach-based Wireless Sensor Networks
Abstract
Many energy efficient routing protocols have been proposed in sensor networks for different scenarios and various applications in literature. One of the efficient way is to group sensors in the neighboring into clusters and send aggregate data by a designated cluster head. However, such design discipline still can not balance the energy consumption of the entire network. As such, in worst cases, some nodes may be soon exhausted. Consequently, it is difficult to provide effective operation and seamless coverage in such a network. In this paper, we propose a novel clustering associating algorithm, known as Energy Residue Aware (ERA) clustering algorithm, to prolong the lifetime of a sensor network by balancing the energy consumption of the entire network. ERA enables each sensor to associate its cluster head to find a path with maximum energy residue sum instead of a path with the minimum energy consumption. Simulations are conducted to evaluate the performance in terms of the network lifetime and energy distribution among nodes. Numerical results show that proposed ERA can maintain a balanced energy consumption distribution among nodes in a sensor network and thus prolong the network lifetime.
Year
DOI
Venue
2007
10.1109/ICSNC.2007.34
ICSNC
Keywords
Field
DocType
network lifetime,sensor network,energy residue aware,clustering algorithm,era,energy efficient routing protocol,leach-based wireless sensor networks,cluster head,entire network,energy distribution,routing protocols,energy consumption,minimum energy consumption,wireless sensor networks,balanced energy consumption distribution,maximum energy residue sum,wireless sensor network
Key distribution in wireless sensor networks,Cluster (physics),Computer science,Computer network,Mobile wireless sensor network,Cluster analysis,Energy consumption,Wireless sensor network,Distributed computing,Energy distribution,Routing protocol
Conference
ISBN
Citations 
PageRank 
978-0-7695-2938-7
10
0.78
References 
Authors
3
5
Name
Order
Citations
PageRank
Huan Chen1364.50
Cheng-Shong Wu219847.91
Yuan-Sun Chu310021.69
Chih-Chuan Cheng4353.11
Li-Kuang Tsai5100.78