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Title: Maximizing the lifetime of cognitive sensor network using cluster head
Authors: Jenifer Angel J., GokulR., Punal M. Arabi
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2015
Volume: 10
Issue: 7
Language: English
In this paper a novel method is proposed to enhance the lifetime of the nodes by introducing clusters which communicate to the main fusion center of the cognitive sensor network. Each sensor sends its spectrum sensing result to the cluster head the node which is nearer to the fusion center is selected as cluster head. The cluster heads sends its decision to the main fusion center which makes the final decision. The proposed method is tested with a simulation scenario of three clusters with a total of thirty sensing nodes and a main fusion center. The results simulated using NS-2 shows that there is a reduction in consumed energy in the proposed network model when compared with the Parallel distributed spectrum sensing network model. The percentage remaining energy in the proposed model is 86.9646 and that of Parallel distributed spectrum sensing network model is 81.4277. Since the remaining energy in the proposed model is more ultimately this would lead to the maximization of its life time.
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