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Erschienen in:
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2021 | OriginalPaper | Buchkapitel

An Energy-Efficient Hybrid Hierarchical Clustering Algorithm for Wireless Sensor Devices in IoT

verfasst von : Nitesh Chouhan, S. C. Jain

Erschienen in: Advances in Computing and Data Sciences

Verlag: Springer International Publishing

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Abstract

An advancement made in wireless technologies has developed a greater impact over the Internet of Things (IoT) systems. Clustering is one of the efficient approaches that connects and organizes the sensor nodes by balancing the loads and maximizing the lifespan of the network. This paper presents an Energy-Efficient Hybrid Hierarchical Clustering Algorithm that performs the characteristics of static and dynamic clustering formation. The proposed algorithm performs by two processes, viz, a) cluster head selection using fuzzy C-Mean (FCM) approach and shortest route path finding using Reliable Cluster-based Energy-aware Routing protocol. The main characteristics is the improvement done in the cluster formation and selection. The designed protocol is simulated using a programming language, NS2 and the performance measures studied are packet delivery ratio, end-to-end delay, and energy utilization. The results have stated that the developed HHCA approach outperforms better than the AODV protocol.

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Nächstes Kapitel Fund Utilization Under Parliament Local Development Scheme: Machine Learning Base Approach
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Metadaten
Titel
An Energy-Efficient Hybrid Hierarchical Clustering Algorithm for Wireless Sensor Devices in IoT
verfasst von
Nitesh Chouhan
S. C. Jain
Copyright-Jahr
2021
Buch
Advances in Computing and Data Sciences

Print ISBN: 978-3-030-81461-8

Electronic ISBN: 978-3-030-81462-5

Copyright-Jahr: 2021

DOI
https://doi.org/10.1007/978-3-030-81462-5_1

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