Achieving Energy Conservation by Cluster Based Data Aggregation in Wireless Sensor Networks

In Wireless Sensor Networks (WSN), one of the major issues is to maximize the network lifetime. Since all sensor nodes directly send the data to the Base station, the energy requirement is very high. This reduces the lifetime of the network. One of the solutions is to partition the network into vari...

Full description

Saved in:
Bibliographic Details
Published in:Wireless personal communications 2013-12, Vol.73 (3), p.731-751
Main Authors: Siva Ranjani, S., Radha Krishnan, S., Thangaraj, C., Vimala Devi, K.
Format: Article
Language:English
Subjects:
Agglomeration
Applied sciences
Communications Engineering
Computer Communication Networks
Computer science
control theory
systems
Computer systems and distributed systems. User interface
Data processing. List processing. Character string processing
Engineering
Exact sciences and technology
Memory organisation. Data processing
Networks
Radiocommunications
Signal,Image and Speech Processing
Software
Telecommunications
Telecommunications and information theory
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In Wireless Sensor Networks (WSN), one of the major issues is to maximize the network lifetime. Since all sensor nodes directly send the data to the Base station, the energy requirement is very high. This reduces the lifetime of the network. One of the solutions is to partition the network into various clusters which avoids direct communication. In this paper we propose an Energy efficient Cluster Based Data Aggregation (ECBDA) scheme for sensor networks. In this algorithm, Cluster members send the data only to its corresponding local cluster head, there by communication overhead is reduced. Data generated from neighboring sensors are often redundant and highly correlated. So the cluster head performs data aggregation to reduce the redundant packet transmission. In our approach, clusters are formed in a non-periodic manner to avoid unnecessary setup message transmissions. Re-clustering is performed only when CH needs to balance the load among the nodes. The simulation results show that our approach effectively reduces the energy consumption and hence the network lifetime is also increased.
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-013-1213-x