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MSP: A Routing Metric for Cognitive Radio Networks

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Quality, Reliability, Security and Robustness in Heterogeneous Networks (QShine 2016)

Abstract

The current routing metrics mainly face two inevitable restrictions for Cognitive Radio Networks (CRN) that they are often designed based on routing condition but seldom considering node mobility, and they are always assumed to adapt dynamic spectrum access without considering primary user’s activity. In this paper, a novel routing metric called Mobility Success Probability (MSP) is proposed which considers both the mobility model and spectrum available time. Through spectrum access and selection path with mobility success probability, the routing protocol also meets the most essential requirements of optimality. Combined with Dijkstra based routing protocols, optimal expression of the MSP is analytically derived and rigorously proved through CR algebra. The simulation results reveal a good routing performance of adopting MSP for CRNs.

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Correspondence to Neng Zhang .

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zhang, N., Guan, J., Yin, S. (2017). MSP: A Routing Metric for Cognitive Radio Networks. In: Lee, JH., Pack, S. (eds) Quality, Reliability, Security and Robustness in Heterogeneous Networks. QShine 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 199. Springer, Cham. https://doi.org/10.1007/978-3-319-60717-7_15

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  • DOI: https://doi.org/10.1007/978-3-319-60717-7_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60716-0

  • Online ISBN: 978-3-319-60717-7

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