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Reliable Topology Control Algorithm in Cognitive Radio Networks

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Trusted Computing and Information Security (CTCIS 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 704))

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Abstract

In cognitive radio networks, the communication probability and available time of links among secondary uses are two important factors which are affected by the mobility of secondary users and the dynamism of primary user activities. Data packets are expected to be transmitted on stable links with high communication probability and long available time to avoid packet loss and retransmissions. However, existing topology control algorithms in cognitive radio networks only consider either the communication probability or the available time. To solve this problem, we propose a reliable topology control algorithm (RTCA) that employs such two factors to achieve reliable data transmission. RTCA first allows each pair of secondary users to communicate with each other by establishing a stable network, the topology of which is then optimized through reducing the edges while maintaining a high communication probability and a long available time. The simulation results and theoretical analysis demonstrate the effectiveness of the proposed algorithm.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (Grant No. 61572010 and No. U1405255), Natural Science Foundation of Fujian Province (Grant No. 2013J01222 and No. 2016J01287), Fujian Normal University Innovative Research Team (Grant No. IRTL1207), Fujian Province Department of Education Project (Grant No. JAT160123), Fuzhou Science and Technology Bureau Project (Grant No. 2015-G-59), Fujian Province University industry Cooperation of Major Science and Technology Project (Grant No. 2017H6005).

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Authors and Affiliations

  1. Fujian Provincial Key Laboratory of Network Security and Cryptology, School of Mathematics and Computer Science, Fujian Normal University, Fuzhou, China

    Yali Zeng, Li Xu & Xiaoding Wang

  2. School of Science, RMIT University, Melbourne, Australia

    Xu Yang

Authors
  1. Yali Zeng
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  2. Li Xu
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  3. Xiaoding Wang
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  4. Xu Yang
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Corresponding author

Correspondence to Li Xu .

Editor information

Editors and Affiliations

  1. National University of Defense Technology, Changsha, China

    Ming Xu

  2. Hunan University, Changsha, Hunan, China

    Zheng Qin

  3. Wuhan University, Wuhan, China

    Fei Yan

  4. National University of Defense Technology, Changsha, Hunan, China

    Shaojing Fu

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Zeng, Y., Xu, L., Wang, X., Yang, X. (2017). Reliable Topology Control Algorithm in Cognitive Radio Networks. In: Xu, M., Qin, Z., Yan, F., Fu, S. (eds) Trusted Computing and Information Security. CTCIS 2017. Communications in Computer and Information Science, vol 704. Springer, Singapore. https://doi.org/10.1007/978-981-10-7080-8_18

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  • DOI: https://doi.org/10.1007/978-981-10-7080-8_18

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7079-2

  • Online ISBN: 978-981-10-7080-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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