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A Topology Control and Routing Method in MCRNs Based on Power Consumption and Link Stability

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Abstract

In this paper, we study topology control and routing issues in mobile cognitive radio networks and propose local cognitive topology control algorithm (LCTCA) to provide the optimal network topology for routing. LCTCA combines link availability with link power consumption to form a multiobjective metric of network topology and routing optimization. The link availability prediction is aware of the interference from secondary users to primary users, the spectrum utilization of primary users, the mobility of secondary users and primary users. Based on the link availability and the power consumption, LCTCA captures the dynamic changes of the topology and constructs a reliable topology under the conditions of network connectivity, which is aimed at selecting the optimal network path and mitigating frequently rerouting. We further analyze the effect of power consumption and link stability on cognitive radio network path selection. Simulation investigation is also provided to verify the theoretical analysis. It shows that the link power consumption and the link stability are both important when selecting the network path.

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Acknowledgments

The work described in this paper is supported by National Natural Science Foundation of China under Grants Nos. 61172056, 61201215, and 61201213.

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Authors and Affiliations

  1. School of Electronics and Information Engineering, Soochow University, Suzhou, China

    Shuqi Liu, Yiming Wang & Cuimei Cui

  2. School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, China

    Shuqi Liu

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  1. Shuqi Liu
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  2. Yiming Wang
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  3. Cuimei Cui
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Correspondence to Yiming Wang.

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Liu, S., Wang, Y. & Cui, C. A Topology Control and Routing Method in MCRNs Based on Power Consumption and Link Stability. Wireless Pers Commun 92, 1347–1363 (2017). https://doi.org/10.1007/s11277-016-3609-x

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  • DOI: https://doi.org/10.1007/s11277-016-3609-x

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