Maximization of IoT Network Lifetime Using Efficient Clustering Technique

N. N. Srinidhi; Dharamendra Chouhan; A. N. Savitha; J. Shreyas; S. M.Dilip Kumar

doi:10.1007/978-981-16-1483-5_15

Maximization of IoT Network Lifetime Using Efficient Clustering Technique

N. N. Srinidhi^*
, Dharamendra Chouhan
, A. N. Savitha
, J. Shreyas
, S. M.Dilip Kumar

^*Corresponding author for this work

School of Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Futuristic Trends in Network and Communication Technologies - Third International Conference, FTNCT 2020, Revised Selected Papers
Editors	Pradeep Kumar Singh, Gennady Veselov, Anton Pljonkin, Yugal Kumar, Marcin Paprzycki, Yuri Zachinyaev
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	154-166
Number of pages	13
ISBN (Print)	9789811614828
DOIs	https://doi.org/10.1007/978-981-16-1483-5_15
Publication status	Published - 2021
Event	3rd International Conference on Futuristic Trends in Network and Communication Technologies, FTNCT 2020 - Taganrog, Russian Federation Duration: 14-10-2020 → 16-10-2020

Publication series

Name	Communications in Computer and Information Science
Volume	1396 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	3rd International Conference on Futuristic Trends in Network and Communication Technologies, FTNCT 2020
Country/Territory	Russian Federation
City	Taganrog
Period	14-10-20 → 16-10-20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

General Computer Science
General Mathematics

Access to Document

10.1007/978-981-16-1483-5_15

Cite this

Srinidhi, N. N., Chouhan, D., Savitha, A. N., Shreyas, J., & Kumar, S. M. D. (2021). Maximization of IoT Network Lifetime Using Efficient Clustering Technique. In P. K. Singh, G. Veselov, A. Pljonkin, Y. Kumar, M. Paprzycki, & Y. Zachinyaev (Eds.), Futuristic Trends in Network and Communication Technologies - Third International Conference, FTNCT 2020, Revised Selected Papers (pp. 154-166). (Communications in Computer and Information Science; Vol. 1396 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-16-1483-5_15

Srinidhi, N. N. ; Chouhan, Dharamendra ; Savitha, A. N. et al. / Maximization of IoT Network Lifetime Using Efficient Clustering Technique. Futuristic Trends in Network and Communication Technologies - Third International Conference, FTNCT 2020, Revised Selected Papers. editor / Pradeep Kumar Singh ; Gennady Veselov ; Anton Pljonkin ; Yugal Kumar ; Marcin Paprzycki ; Yuri Zachinyaev. Springer Science and Business Media Deutschland GmbH, 2021. pp. 154-166 (Communications in Computer and Information Science).

@inproceedings{76c09974557e4b4bae9c9223fd7113fe,

title = "Maximization of IoT Network Lifetime Using Efficient Clustering Technique",

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.",

author = "Srinidhi, \{N. N.\} and Dharamendra Chouhan and Savitha, \{A. N.\} and J. Shreyas and Kumar, \{S. M.Dilip\}",

note = "Funding Information: Acknowledgment. This research work has been funded by the Science and Engineering Research Board (SERB-DST) Project File No: EEQ/2017/000681. Publisher Copyright: {\textcopyright} 2021, Springer Nature Singapore Pte Ltd.; 3rd International Conference on Futuristic Trends in Network and Communication Technologies, FTNCT 2020 ; Conference date: 14-10-2020 Through 16-10-2020",

year = "2021",

doi = "10.1007/978-981-16-1483-5\_15",

language = "English",

isbn = "9789811614828",

series = "Communications in Computer and Information Science",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "154--166",

editor = "Singh, \{Pradeep Kumar\} and Gennady Veselov and Anton Pljonkin and Yugal Kumar and Marcin Paprzycki and Yuri Zachinyaev",

booktitle = "Futuristic Trends in Network and Communication Technologies - Third International Conference, FTNCT 2020, Revised Selected Papers",

address = "Germany",

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Srinidhi, NN, Chouhan, D, Savitha, AN, Shreyas, J & Kumar, SMD 2021, Maximization of IoT Network Lifetime Using Efficient Clustering Technique. in PK Singh, G Veselov, A Pljonkin, Y Kumar, M Paprzycki & Y Zachinyaev (eds), Futuristic Trends in Network and Communication Technologies - Third International Conference, FTNCT 2020, Revised Selected Papers. Communications in Computer and Information Science, vol. 1396 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 154-166, 3rd International Conference on Futuristic Trends in Network and Communication Technologies, FTNCT 2020, Taganrog, Russian Federation, 14-10-20. https://doi.org/10.1007/978-981-16-1483-5_15

Maximization of IoT Network Lifetime Using Efficient Clustering Technique. / Srinidhi, N. N.; Chouhan, Dharamendra; Savitha, A. N. et al.
Futuristic Trends in Network and Communication Technologies - Third International Conference, FTNCT 2020, Revised Selected Papers. ed. / Pradeep Kumar Singh; Gennady Veselov; Anton Pljonkin; Yugal Kumar; Marcin Paprzycki; Yuri Zachinyaev. Springer Science and Business Media Deutschland GmbH, 2021. p. 154-166 (Communications in Computer and Information Science; Vol. 1396 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Maximization of IoT Network Lifetime Using Efficient Clustering Technique

AU - Srinidhi, N. N.

AU - Chouhan, Dharamendra

AU - Savitha, A. N.

AU - Shreyas, J.

AU - Kumar, S. M.Dilip

N1 - Funding Information: Acknowledgment. This research work has been funded by the Science and Engineering Research Board (SERB-DST) Project File No: EEQ/2017/000681. Publisher Copyright: © 2021, Springer Nature Singapore Pte Ltd.

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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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U2 - 10.1007/978-981-16-1483-5_15

DO - 10.1007/978-981-16-1483-5_15

M3 - Conference contribution

AN - SCOPUS:85107271322

SN - 9789811614828

T3 - Communications in Computer and Information Science

SP - 154

EP - 166

BT - Futuristic Trends in Network and Communication Technologies - Third International Conference, FTNCT 2020, Revised Selected Papers

A2 - Singh, Pradeep Kumar

A2 - Veselov, Gennady

A2 - Pljonkin, Anton

A2 - Kumar, Yugal

A2 - Paprzycki, Marcin

A2 - Zachinyaev, Yuri

PB - Springer Science and Business Media Deutschland GmbH

T2 - 3rd International Conference on Futuristic Trends in Network and Communication Technologies, FTNCT 2020

Y2 - 14 October 2020 through 16 October 2020

ER -

Srinidhi NN, Chouhan D, Savitha AN, Shreyas J, Kumar SMD. Maximization of IoT Network Lifetime Using Efficient Clustering Technique. In Singh PK, Veselov G, Pljonkin A, Kumar Y, Paprzycki M, Zachinyaev Y, editors, Futuristic Trends in Network and Communication Technologies - Third International Conference, FTNCT 2020, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2021. p. 154-166. (Communications in Computer and Information Science). doi: 10.1007/978-981-16-1483-5_15

Maximization of IoT Network Lifetime Using Efficient Clustering Technique

Abstract

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UN SDGs

All Science Journal Classification (ASJC) codes

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