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.
UR - https://www.scopus.com/pages/publications/85107271322
UR - https://www.scopus.com/inward/citedby.url?scp=85107271322&partnerID=8YFLogxK
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 -
