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Erschienen in:
Use of Bayesian Networks for System Reliability Assessment Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

Analysis of Existing Clustering Algorithms for Wireless Sensor Networks

verfasst von : Richa Sharma, Vasudha Vashisht, Ajay Vikram Singh, Sushil Kumar

Erschienen in: System Performance and Management Analytics

Verlag: Springer Singapore

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Abstract

With the recent advancement in MEMS technology, researchers in academics as well as in industry are showing their immense interest in Wireless Sensor Networks (WSNs) since the past decade. WSNs are the networks composed of uniformly or randomly distributed autonomous low-cost nodes used for reliable monitoring of environmental parameters. These resource-constrained sensor nodes work in a synergetic manner to perform a sensing process. Wireless Sensor Networks have a significant role in different areas like habitat monitoring, health monitoring, intelligent and adaptive traffic management, military surveillance, target tracking, aircraft control, forest fire detection, air pollution monitoring, etc. These networks face some critical energy challenges while doing data aggregation, node deployment, localization, and clustering. This chapter presents the analysis of different clustering algorithms proposed so far to lengthen the network lifetime and to increase the network scalability.

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Vorheriges Kapitel Modified Counting Sort
Nächstes Kapitel Process Mining for Maintenance Decision Support
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Metadaten
Titel
Analysis of Existing Clustering Algorithms for Wireless Sensor Networks
verfasst von
Richa Sharma
Vasudha Vashisht
Ajay Vikram Singh
Sushil Kumar
Copyright-Jahr
2019
Verlag
Springer Singapore
Buch
System Performance and Management Analytics

Print ISBN: 978-981-10-7322-9

Electronic ISBN: 978-981-10-7323-6

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-981-10-7323-6_22