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2018 | OriginalPaper | Chapter

Energy-Aware Data Aggregation Techniques in Wireless Sensor Network

Authors : M. Ambigavathi, D. Sridharan

Published in: Advances in Power Systems and Energy Management

Publisher: Springer Singapore

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Abstract

A Wireless Sensor Network (WSN) is an exigent technology and it has huge number of applications in disaster management, health monitoring, military, security, and so on. This network faces some critical barriers like fault tolerance, energy consumption due to heterogeneous traffic loads and redundant data transmission. In which, nodes are miniscule and have restricted capability of processing with reduced power of battery. This limitation of reduced power of battery makes the sensor network prone to failure. Data aggregation is a vital technique for active data processing in WSN. With the support of data aggregation, the energy depletion is minimized by eliminating redundant data or by decreasing the number of sent packets. This study reviews various data aggregation techniques such as clustered aggregation, tree-based aggregation, in-network aggregation, and centralized data aggregation with focus on energy consumption of sensor nodes.

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Metadata
Title
Energy-Aware Data Aggregation Techniques in Wireless Sensor Network
Authors
M. Ambigavathi
D. Sridharan
Copyright Year
2018
Publisher
Springer Singapore
Book
Advances in Power Systems and Energy Management

Print ISBN: 978-981-10-4393-2

Electronic ISBN: 978-981-10-4394-9

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-4394-9_17