Paper Info
Title
Energy consumption and lifetime analysis in clustered multi-hop wireless sensor networks using the probabilistic cluster-head selection method.
Abstract
Clustering sensor nodes into groups is an effective way of reducing the transmission of duplicated information in energy-constraint wireless sensor networks (WSNs). The performance of clustering is greatly influenced by the selection of cluster-heads, which are in charge of creating clusters and controlling member nodes. In selecting cluster-heads, a probabilistic method where each sensor node selects itself as a cluster-head with a given probability is often used in large-scale and dense WSNs because it enables all nodes to independently decide their roles while keeping the signaling overhead low. In this method, the probability of being a cluster-head should be optimally chosen to maximize the energy efficiency of the nodes. In this article, we propose a novel energy model to estimate the energy consumed in a multi-hop WSN clustered with probabilistic cluster-head selection. Then, based on our model, we determine optimal probability that maximizes the lifetime of a network. Simulation results achieved by the Monte Carlo method show that our model estimates well in energy consumption from a network and also predicts the optimal clustering probability accurately.
Year
DOI
Venue
2011
10.1186/1687-1499-2011-156
EURASIP J. Wireless Comm. and Networking
Keywords
Field
DocType
clustered multi-hop wireless sensor networks, energy modeling, probabilistic cluster-head selection, optimal number of clusters
Sensor node,Key distribution in wireless sensor networks,Computer science,Efficient energy use,Computer network,Real-time computing,Mobile wireless sensor network,Probabilistic logic,Cluster analysis,Wireless sensor network,Energy consumption
Journal
Volume
Issue
ISSN
2011
1
1687-1499
Citations 
PageRank 
References 
28
0.65
12
Authors
2
Name
Order
Citations
PageRank
Jinchul Choi1455.31
Chaewoo Lee233127.28