A Hybrid Energy- and Time-Driven Cluster Head Rotation Strategy for Distributed Wireless Sensor Networks
Joint Authors
Source
International Journal of Distributed Sensor Networks
Issue
Vol. 2013, Issue - (31 Dec. 2013), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-01-30
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Telecommunications Engineering
Information Technology and Computer Science
Abstract EN
Clustering provides an effective way to extend the lifetime and improve the energy efficiency of wireless sensor networks (WSNs).
However, the cluster heads will deplete energy faster than cluster members due to the additional tasks of information collection and transmission.
The cluster head rotation among sensors is adopted to solve this problem.
Cluster head rotation strategies can be generally divided into two categories: time-driven strategy and energy-driven strategy.
The time-driven strategy can balance energy consumption better, but it is not suitable for heterogonous WSNs.
The energy-driven cluster head rotation strategy has high energy efficiency, especially in heterogonous networks.
However, the rotation will become increasingly frequent with the reduction of the nodes residual energy for this strategy, which causes lots of energy waste.
In this paper, we propose a hybrid cluster head rotation strategy which combines the advantages of both energy-driven and time-driven cluster head rotation strategies.
In our hybrid rotation strategy, the time-driven strategy or energy-driven strategy will be selected according to the residual energy.
Simulations show that the hybrid strategy can enhance the energy efficiency and prolong network lifetime in both homogeneous and heterogeneous networks, compared with either single time-driven or energy-driven cluster head rotation method.
American Psychological Association (APA)
Ma, Guoxi& Tao, Zhengsu. 2013. A Hybrid Energy- and Time-Driven Cluster Head Rotation Strategy for Distributed Wireless Sensor Networks. International Journal of Distributed Sensor Networks،Vol. 2013, no. -, pp.1-13.
https://search.emarefa.net/detail/BIM-447143
Modern Language Association (MLA)
Ma, Guoxi& Tao, Zhengsu. A Hybrid Energy- and Time-Driven Cluster Head Rotation Strategy for Distributed Wireless Sensor Networks. International Journal of Distributed Sensor Networks Vol. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-447143
American Medical Association (AMA)
Ma, Guoxi& Tao, Zhengsu. A Hybrid Energy- and Time-Driven Cluster Head Rotation Strategy for Distributed Wireless Sensor Networks. International Journal of Distributed Sensor Networks. 2013. Vol. 2013, no. -, pp.1-13.
https://search.emarefa.net/detail/BIM-447143
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-447143