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Content Provider | IEEE Xplore Digital Library |
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Author | Tung-Hung Chiang Jenq-Shiou Leu |
Copyright Year | 2014 |
Description | Author affiliation: Dept. of Electron. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan (Tung-Hung Chiang; Jenq-Shiou Leu) |
Abstract | Energy consumption is an important issue in the design of Wireless Sensor Networks (WSNs) which typically are powered by limited energy. A suitable clustering algorithm for grouping sensor nodes can raise energy efficiency for WSNs. However, there exist some overheads for clustering, such as cluster-head selection, assignment, and cluster construction. In this paper, we propose a new regional energy aware clustering with isolated nodes for wireless sensor networks, called REAC-IN. In REAC-IN, the cluster-heads are selected by the calculated weight based on the residual energy of each sensor and the regional average energy of all sensors in each cluster. A distributed clustering algorithms may result in isolated nodes which are far away from cluster-heads. Such isolated nodes may need to communicate with the sink directly by consuming much energy. In order to reduce the energy consumption and prolong the network lifetime, we use regional average energy and the distance between sensors and the sink to determine whether the isolated nodes sleep or transmit data. Our simulation results validate that REAC-IN can outperform other clustering algorithms, such as LEACH, HEED and DEEC algorithms, and has better performance in terms of the total amount of transferred data, the total network energy consumption, and the network life-time. |
Starting Page | 1829 |
Ending Page | 1833 |
File Size | 1082391 |
Page Count | 5 |
File Format | |
ISBN | 9781479949120 |
DOI | 10.1109/PIMRC.2014.7136467 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-09-02 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Wireless sensor networks Protocols Clustering algorithms Energy efficiency Energy consumption Wireless communication Simulation Distributed Clustering Energy Consumption Energy Aware Clustering Isolated Nodes |
Content Type | Text |
Resource Type | Article |
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