T-LEACH: The method of threshold-based cluster head replacement for wireless sensor networks

Jiman Hong (), Joongjin Kook, Sangjun Lee, Dongseop Kwon and Sangho Yi
Additional contact information
Jiman Hong: Soongsil University
Joongjin Kook: Soongsil University
Sangjun Lee: Soongsil University
Dongseop Kwon: Myongji University
Sangho Yi: Seoul National University

Information Systems Frontiers, 2009, vol. 11, issue 5, No 5, 513-521

Abstract: Abstract In wireless sensor networks, power is the most essential resource because each sensor node has limited batteries. Many kinds of existing clustering protocols have been developed to balance and maximize lifetime of the sensor nodes in wireless sensor networks. These protocols select cluster heads periodically, and they considered only ‘How can we select cluster heads energy-efficiently?’ or ‘What is the best selection of cluster heads?’ without considering energy-efficient period of the cluster heads replacement. Unnecessary head selection may dissipate limited battery power of the entire sensor networks. In this paper, we present T-LEACH, which is a threshold-based cluster head replacement scheme for clustering protocols of wireless sensor networks. T-LEACH minimizes the number of cluster head selection by using threshold of residual energy. Reducing the amount of head selection and replacement cost, the lifetime of the entire networks can be extended compared with the existing clustering protocols. Our simulation results show that T-LEACH outperformed LEACH in terms of balancing energy consumption and network lifetime.

Keywords: Wireless sensor networks; Clustering protocols; Cluster head selection; Cluster head replacement; Energy-efficiency (search for similar items in EconPapers)
Date: 2009
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s10796-008-9121-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:infosf:v:11:y:2009:i:5:d:10.1007_s10796-008-9121-4

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10796

DOI: 10.1007/s10796-008-9121-4

Access Statistics for this article

Information Systems Frontiers is currently edited by Ram Ramesh and Raghav Rao

More articles in Information Systems Frontiers from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().