Efficient Channel Handoff Scheme for Cognitive-Radio-Based Industrial Internet of Things 


Vol. 44,  No. 9, pp. 1658-1665, Sep.  2019
10.7840/kics.2019.44.9.1658


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  Abstract

In this paper, an efficient channel handoff scheme based on proactive-sensing approach in cognitive radio is proposed for industrial internet of things. The proposed scheme is processed by two step. The first step, licensed channels is checked by using belief vector for secondary user to access one of the channels. The second step, the optimal channel will be selected by using reward function based on greedy algorithm. The system model is composed of primary user, coordinator and secondary users, where we assume that the secondary users can send their packets via coordinator. Thus, there is no collision between secondary users. Performance of the proposed scheme is represented through three metrics. First, average throughput is shown in the case of perfect sensing and imperfect sensing. Second, in perfect sensing and imperfect sensing the average throughput of primary user is shown. Finally, channel utilization efficiency is shown in imperfect sensing. As a result of the simulation, we check that the proposed scheme outperforms in the three metrics.

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  Cite this article

[IEEE Style]

S. Kim, K. Kwon, J. Kim, D. Kim, "Efficient Channel Handoff Scheme for Cognitive-Radio-Based Industrial Internet of Things," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 9, pp. 1658-1665, 2019. DOI: 10.7840/kics.2019.44.9.1658.

[ACM Style]

Seung-Hwan Kim, Ki-Hyeob Kwon, Jae-Woo Kim, and Dong-Seong Kim. 2019. Efficient Channel Handoff Scheme for Cognitive-Radio-Based Industrial Internet of Things. The Journal of Korean Institute of Communications and Information Sciences, 44, 9, (2019), 1658-1665. DOI: 10.7840/kics.2019.44.9.1658.

[KICS Style]

Seung-Hwan Kim, Ki-Hyeob Kwon, Jae-Woo Kim, Dong-Seong Kim, "Efficient Channel Handoff Scheme for Cognitive-Radio-Based Industrial Internet of Things," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 9, pp. 1658-1665, 9. 2019. (https://doi.org/10.7840/kics.2019.44.9.1658)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880