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2021 | OriginalPaper | Buchkapitel

Maximization of IoT Network Lifetime Using Efficient Clustering Technique

verfasst von : N. N. Srinidhi, Dharamendra Chouhan, A. N. Savitha, J. Shreyas, S. M. Dilip Kumar

Erschienen in: Futuristic Trends in Network and Communication Technologies

Verlag: Springer Singapore

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Abstract

Internet of Things (IoT) consists of heterogeneous nodes that consumes more network resources due to this network lifetime is foreshorten. To enhance network lifetime, dynamic cluster head selection algorithm (DCHSA) is propounded in this work. This algorithm combines both tree and cluster based data aggregation that classifies cluster head (CH) into primary cluster head (PCH) and secondary cluster head (SCH) to improve energy efficiency and network lifetime. The proposed work provides fault tolerance whenever primary cluster head fails and secondary cluster head takes over the task of primary cluster head. The data sent from individual node in the cluster is collected and aggregated by the cluster head. Further tree based data aggregation scheme is proposed to send the data from PCH to base station. The results obtained through simulation outperforms with respect to energy efficiency, lifetime of the network and energy dissipation in comparison with existing works.

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Titel: Maximization of IoT Network Lifetime Using Efficient Clustering Technique
verfasst von: N. N. Srinidhi
Dharamendra Chouhan
A. N. Savitha
J. Shreyas
S. M. Dilip Kumar
Verlag: Springer Singapore
Buch: Futuristic Trends in Network and Communication Technologies
Print ISBN: 978-981-16-1482-8

Electronic ISBN: 978-981-16-1483-5

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-981-16-1483-5_15

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