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2023 | OriginalPaper | Chapter

Cluster-Enabled Optimized Data Aggregation Technique for WSN

Authors : D. Deepakraj, K. Raja

Published in: Intelligent Communication Technologies and Virtual Mobile Networks

Publisher: Springer Nature Singapore

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Abstract

The applications like security framework, agriculture, and traffic maintenance have been utilized from wireless sensor networks (WSNs). The data redundancy is the common cause of problem while the similar data has been gathered from several sensors which require an accurate data aggregation function for providing real-time processing. Originally, the network is framed with the active nodes with groups and the cluster head is elected according to the rank parameter through the geographical location with base station. The data aggregator is used inside the clusters to maintain the energy utilization and whenever the value has produced low, identify another data aggregator. The performance results demonstrate that the proposed technique minimizes the end-to-end delay.

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Metadata
Title
Cluster-Enabled Optimized Data Aggregation Technique for WSN
Authors
D. Deepakraj
K. Raja
Copyright Year
2023
Publisher
Springer Nature Singapore
Book
Intelligent Communication Technologies and Virtual Mobile Networks

Print ISBN: 978-981-19-1843-8

Electronic ISBN: 978-981-19-1844-5

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-981-19-1844-5_11