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Research Journal of Information Technology
  Year: 2011 | Volume: 3 | Issue: 2 | Page No.: 132-139
DOI: 10.17311/rjit.2011.132.139
 
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GRESS: Based on Gradient and Residual Energy of Sleep Scheduling in the Distributed Sensor Networks

Liqun Shan, Yanchang Liu and Wei Wei

Abstract:
The most critical issue is how to increase network lifetime and scalability and balance load on sensor nodes in the Wireless Sensor Networks (WSNs). This study presented a new method for data gathering that maximizes lifetime for distributed sensor networks. It involves the following parts. First, nodes organize themselves into several static clusters by a given clustering algorithm. Second, clusters are formed only once but the role of cluster head is optimally scheduled among the cluster members according the gradient and residual energy. A single cluster head is in active state and non cluster head is in sleep or listen state with different sleep period. Third, after cluster-heads are selected, they form a backbone network to periodically collect, aggregate and forward data to the base station. Comparing with non-sleep and synchronous sleep by the MATLAB, significant lifetime extension is obtained with the use of this method.
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How to cite this article:

Liqun Shan, Yanchang Liu and Wei Wei, 2011. GRESS: Based on Gradient and Residual Energy of Sleep Scheduling in the Distributed Sensor Networks. Research Journal of Information Technology, 3: 132-139.

DOI: 10.17311/rjit.2011.132.139

URL: https://scialert.net/abstract/?doi=rjit.2011.132.139

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