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An Optimum Transmission Distance and Adaptive Clustering Based Routing Protocol for Cognitive Radio Sensor Network

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Abstract

Adaptive transmission strategies for cognitive radio sensor network provide flexibility to the nodes based on data packets. In this paper, an optimum transmission distance is formulated by considering the energy consumption in the inter-cluster and intra-cluster data forwarding. The nodes are arranged in the clustered form and the size of cluster is adaptable with respect to the number of packets in the cluster. Furthermore, due to cognitive capability of sensor node, it is possible to calculate the residual time of unused licensed channels by taking into consideration the primary users activity. The proposed routing protocol uses the concept of optimal transmission distance and cognitive technique for data forwarding and the objective of the routing protocol is to forward the data packets through energy efficient paths. The comparison with other state-of-the-art algorithm validates that the proposed routing protocol improves the network performance.

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Acknowledgements

This work is supported by the council of science and technology under the project entitled “wireless sensor network (WSN) routing protocol for industrial applications: algorithm design and hardware”. Project Grant Number is CST/2872.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India

    Yogesh Tripathi, Arun Prakash & Rajeev Tripathi

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  1. Yogesh Tripathi
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  2. Arun Prakash
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  3. Rajeev Tripathi
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Correspondence to Yogesh Tripathi.

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Tripathi, Y., Prakash, A. & Tripathi, R. An Optimum Transmission Distance and Adaptive Clustering Based Routing Protocol for Cognitive Radio Sensor Network. Wireless Pers Commun 116, 907–926 (2021). https://doi.org/10.1007/s11277-020-07745-w

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