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2018 | OriginalPaper | Buchkapitel

Energy-Aware Data Aggregation Techniques in Wireless Sensor Network

verfasst von : M. Ambigavathi, D. Sridharan

Erschienen in: Advances in Power Systems and Energy Management

Verlag: 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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Vorheriges Kapitel Ecology and Energy Dimension in Infrastructural Designs

Nächstes Kapitel Design and Performance Analysis of Noise Equivalent Model for Optical Fiber Link

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Titel: Energy-Aware Data Aggregation Techniques in Wireless Sensor Network
verfasst von: M. Ambigavathi
D. Sridharan
Verlag: Springer Singapore
Buch: Advances in Power Systems and Energy Management
Print ISBN: 978-981-10-4393-2

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

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-981-10-4394-9_17