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Cluster Computing

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05-12-2017

Cross-layer parallel cooperative spectrum sensing for heterogeneous channels based on iterative KM algorithm

Authors: Shuang Fu, Guoyin Zhang, Tingyi Shang

Published in: Cluster Computing | Special Issue 2/2019

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Abstract

To address the problem of spectrum scarcity in future communication for smart world, cognitive radio (CR) is viewed as an effective way and has been widely studied in recent years. Spectrum sensing is the key to deploy Cognitive radio (CR) network. Parallel cooperative spectrum sensing provides an effective solution in multi-channel scenario. In this paper, joint optimal sensing duration selection and sensing task allocation is studied in parallel cooperative spectrum sensing for heterogeneous multi-channel CR systems. Two cross-layer parallel cooperative spectrum sensing methods based on iterative KM algorithm are proposed. Sensing duration selection and sensing task allocation are designed jointly to maximize the available throughput. A two-step method is implemented. Firstly it determines the optimal sensing task allocation for fixed sensing duration by iterative KM algorithm, and then selects the optimal sensing duration by exhaustion method and quartering method, respectively. The simulation results show that the proposed method can optimally select the sensing duration and obtain higher available throughput than other compared methods.

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Zhu, C., Leung, V.C.M., Shu, L., Ngai, C.H.: Green internet of things for smart world. IEEE Access 3, 2151–2162 (2015)

Sangaiah, A.K., Sarkar, M., Banerjee, S., Badr, Y.: Configuring a trusted cloud service model for smart city exploration using hybrid intelligence. Int. J. Ambient Comput. Intell. 8, 1–21 (2017)

Li, X., Sangaiah, A.K., Kumari, S., Wu, F., Shen, J., Khan, M.K.: An efficient authentication and key agreement scheme with user anonymity for roaming service in smart city. J. Parallel Distrib. Comput. 12, 1–15 (2017)

Balakrishnan, S.M., Sangaiah, A.R.: Aspect oriented middleware for internet of things: a state-of-the art survey of service discovery approaches. Int. J. Intell. Eng. Syst. 8(4), 16–28 (2015)

Masonta, M.T., Mzyece, M., Ntlatlapa, N.: Spectrum decision in cognitive radio networks: a survey. IEEE Commun. Surv. Tutor. 15, 1088–1107 (2013)

Sun, H., Nallanathan, A., Wang, C.-X., Chen, Y.: Wideband spectrum sensing for cognitive radio networks: a survey. IEEE Wirel. Commun. 20, 74–81 (2013)

Kuang, Z., Luo, M., Chen, Z.: A heterogeneous channel spectrum sensing strategy base on genetic algorithm in cognitive radio network. Comput. Appl. Softw. 28, 102–104 (2011). (in Chinese)

Zhao, Y., Pan, B., Hu, H.: Multi-channel coordinated spectrum sensing in cognitive radio. In: Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013), Paris, France (2013)

Akyildiz, I.F., Lo, B.F., Balakrishnan, R.: Cooperative spectrum sensing in cognitive radio networks: a survey. Phys. Commun. 4, 40–62 (2011)

10.

Huang, X.-L., Hu, F., Wu, J., Chen, H.-H., Wang, G., Jiang, T.: Intelligent cooperative spectrum sensing via hierarchical dirichlet process in cognitive radio networks. IEEE J. Sel. Areas Commun. 33, 771–787 (2015)

11.

Quan, Z., Cui, S.G., Sayed, A.H., Poor, H.V.: Optimal multiband joint detection for spectrum sensing in cognitive radio networks. IEEE Trans. Signal Process. 57, 1128–1140 (2009)

12.

Xie, S., Liu, Y., Zhang, Y., Yu, R.: A parallel cooperative spectrum sensing in cognitive radio networks. IEEE Trans. Veh. Technol. 59, 4079–4092 (2010)

13.

Shahrasbi, B., Rahnavard, N.: Cooperative parallel spectrum sensing in cognitive radio networks using bipartite matching. In: Military Communications Conference, 2011—MILCOM (2011)

14.

Wang, Z., Feng, Z., Zhang, P.: An iterative Hungarian algorithm based coordinated spectrum sensing strategy. IEEE Commun. Lett. 15, 49–51 (2011)

15.

Fu, S., Li, Y.-B., Ye, F., Sun, Z.-G.: Optimized parallel cooperative spectrum sensing strategy based on iterative Kuhn-Munkres algorithm. J. Donghua Univ. (Engl. Edn.) 31, 33–38 (2014)

16.

Zhang, N., Liang, H., Cheng, N., Tang, Y., Mark, J.W., Shen, X.S.: Dynamic spectrum access in multi-channel cognitive radio networks. IEEE J. Sel. Areas Commun. 32, 2053–2064 (2014)

17.

Liang, Y.C., Zeng, Y.H., Peh, E.C.Y., Hoang, A.T.: Sensing-throughput tradeoff for cognitive radio networks. IEEE Trans. Wireless Commun. 7, 1326–1337 (2008)

18.

Wang, B., Liu, K.J.R., Clancy, T.C.: Evolutionary cooperative spectrum sensing game: how to collaborate? IEEE Trans. Commun. 58, 890–900 (2010)

19.

Yu, H., Tang, W., Li, S.: Joint optimal sensing time and power allocation for multi-channel cognitive radio networks considering sensing-channel selection. Sci. China Inform. Sci. 57, 1–8 (2014)

20.

Munkres, J.: Algorithms for the assignment and transportation problems. J. Soc. Ind. Appl. Math. 5(1), 32–38 (1957)

21.

Wang, Z.L., Feng, Z.Y., Zhang, D., Xue, J.T., Zhang, P.: Optimized strategies for coordinated spectrum sensing in Cognitive Radio Networks. In: 2011 Sixth International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM) (2011)

Title: Cross-layer parallel cooperative spectrum sensing for heterogeneous channels based on iterative KM algorithm
Authors: Shuang Fu
Guoyin Zhang
Tingyi Shang
Publication date: 05-12-2017
Publisher: Springer US
Published in: Cluster Computing / Issue Special Issue 2/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-017-1372-8

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