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.
Keywords
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Aziz, A.A., Sekercioglu, Y.A., Fitzpatrick, P., Ivanovich, M.: A survey on distributed topology control techniques for extending the lifetime of battery powered wireless sensor networks. IEEE Commun. Surv. Tutorials 15(1), 121–144 (2013)
Zhang, X., Zhang, Y., Yan, F., Vasilakos, A.V.: Interference-based topology control algorithm for delay-constrained mobile ad hoc networks. IEEE Trans. Mobile Comput. 14(4), 742–754 (2015)
Lin, L., Xu, L., Zhou, S., Wang, D.: Interference-based topology control algorithm for delay-constrained mobile ad hoc networks. IEEE Trans. Reliab. 64(2), 807–818 (2015)
Zhang, J., Zhou, S., Xu, L., Wu, W., Ye, X.: An efficient connected dominating set algorithm in WSNs based on the induced tree of the crossed cube. Int. J. Appl. Math. Comput. Sci. 25(2), 295–309 (2015)
Zheng, L., Tan, C.W.: Cognitive radio network duality and algorithms for utility maximization. IEEE J. Sel. Areas Commun. 31(3), 500–513 (2013)
Akyildiz, I.F., Lee, W.-Y., Vuran, M.C., Mohanty, S.: NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey. Comput. Netw. 50(13), 2127–2159 (2006)
Feng, J., Zhang, Y., Lu, G., Zheng, W.: Securing cooperative spectrum sensing against ISSDF attack using dynamic trust evaluation in cognitive radio networks. Secur. Commun. Netw. 8(17), 3157–3166 (2015)
Pei, Z., Liu, Y., Zhang, J., Wang, L.: Power allocation design and optimization for secure transmission in cognitive relay networks. Secur. Commun. Netw. 9(18), 5133–5142 (2016)
Wang, X., Sheng, M., Zhai, D., Li, J., Mao, G., Zhang, Y.: Achieving bi-channel-connectivity with topology control in cognitive radio networks. IEEE J. Sel. Areas Commun. 32(11), 2163–2176 (2014)
Li, M., Li, Z., Vasilakos, A.V.: A survey on topology control in wireless sensor networks: taxonomy, comparative study, and open issues. Proc. IEEE 101(12), 2538–2557 (2013)
Guo, J., Liu, X., Jiang, C., Cao, J., Ren, Y.: Distributed fault-tolerant topology control in cooperative wireless ad hoc networks. IEEE Trans. Parallel Distrib. Syst. 26(10), 2699–2710 (2015)
Stein, M., Kulcsár, G., Schweizer, I., Varró, G., Schürr, A., Mühlhäuser, M.:. Topology control with application constraints. In: IEEE 40th Conference on Local Computer Networks (LCN), pp. 229–232 (2015)
Huang, J., Wang, S., Cheng, X., Liu, M., Li, Z., Chen, B.: Mobility-assisted routing in intermittently connected mobile cognitive radio networks. IEEE Trans. Parallel Distrib. Syst. 25(11), 2956–2968 (2014)
Guan, Q., Yu, F.R., Jiang, S., Wei, G.: Prediction-based topology control and routing in cognitive radio mobile ad hoc networks. IEEE Trans. Veh. Technol. 59(9), 4443–4452 (2010)
Huang, M., Chen, S., Zhu, Y., Wang, Y.: Topology control for time-evolving and predictable delay-tolerant networks. IEEE Trans. Comput. 62(11), 2308–2321 (2013)
Li, F., Chen, S., Huang, M., Yin, Z., Zhang, C., Wang, Y.: Reliable topology design in time-evolving delay-tolerant networks with unreliable links. IEEE Trans. Mobile Comput. 14(6), 1301–1314 (2015)
Song, C., Qu, Z., Blumm, N., Barabsi, A.-L.: Limits of predictability in human mobility. Science 327(5968), 1018–1021 (2010)
Willkomm, D., Machiraju, S., Bolot, J., Woliszl, A.: Primary user behavior in cellular networks and implications for dynamic spectrum access. IEEE Commun. Mag. 47(3), 88–95 (2009)
Su, W., Lee, S.-J., Gerla, M.: Mobility prediction in wireless networks. In: IEEE 21st Century Military Communications Conference Proceedings, pp. 491–495 (2000)
Fitch, M., Nekovee, M., Kawade, S., Briggs, K., MacKenzie, R.: Wireless service provision in TV white space with cognitive radio technology: a telecom operator’s perspective and experience. IEEE Commun. Mag. 49(3), 64–73 (2011)
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).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-981-10-7080-8_18
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-7079-2
Online ISBN: 978-981-10-7080-8
eBook Packages: Computer ScienceComputer Science (R0)