Paper Info
Title
Energy Aware Node Selection for Cluster-based Data Accuracy Estimation in Wireless Sensor Networks
Abstract
The main objective of this paper is to reduce the number of sensor nodes by estimating a trade off between data accuracy and energy consumption for selecting nodes in probabilistic approach in distributed networks. Design Procedure/Approach: Observed data are highly correlated among sensor nodes in the spatial domain due to deployment of high density of sensor nodes. These sensor nodes form non-overlapping distributed clusters due to high data correlation among them. We develop a probabilistic model for each distributed cluster to perform data accuracy and energy consumption model in the network. Finally we find a trade off between data accuracy and energy consumption model to select an optimal number of sensor nodes in each distributed cluster. We also compare the performance for our data accuracy estimation model with information accuracy model for each distributed cluster in the network. Practical Implementation: Measuring temperature in physical environment and measuring moisture content in agricultural field. Inventive /Novel Idea: Optimal node selection in probabilistic approach using the trade of between data accuracy and energy consumption in cluster-based distributed network.
Year
Venue
Field
2011
CoRR
Cluster (physics),Key distribution in wireless sensor networks,Software deployment,Computer science,Computer network,Brooks–Iyengar algorithm,Real-time computing,Statistical model,Probabilistic logic,Wireless sensor network,Energy consumption,Distributed computing
DocType
Volume
Citations 
Journal
abs/1111.4335
5
PageRank 
References 
Authors
0.44
16
2
Name
Order
Citations
PageRank
Jyotirmoy Karjee1265.25
H. S. Jamadagni216030.14