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Optimal Resource Sharing Amongst Device-to-Device Communication Using Particle Swarm Algorithm Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Cluster-Based Data Aggregation in Wireless Sensor Networks: A Bayesian Classifier Approach

Authors : Lokesh B. Bhajantri, Basavaraj G. Kumbar

Published in: Evolutionary Computing and Mobile Sustainable Networks

Publisher: Springer Singapore

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Abstract

The network is composed of wireless distributed sensor nodes with data computational capabilities. In each cluster, the cluster member nodes are used to send the sensed data to their respective cluster head to aggregate and classify the data effectively. In this work, the algorithm for cluster-based aggregation of data using the Naive Bayesian Classifier is proposed. The proposed scheme provides better performance rather than existing algorithms with accuracy, efficient energy utilization, and computation overhead.

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Metadata
Title
Cluster-Based Data Aggregation in Wireless Sensor Networks: A Bayesian Classifier Approach
Authors
Lokesh B. Bhajantri
Basavaraj G. Kumbar
Copyright Year
2021
Publisher
Springer Singapore
Book
Evolutionary Computing and Mobile Sustainable Networks

Print ISBN: 978-981-15-5257-1

Electronic ISBN: 978-981-15-5258-8

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-5258-8_89