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International Conference on Intelligent Systems Design and Applications

ISDA 2018 2018: Intelligent Systems Design and Applications pp 312–321Cite as

A Perusal Analysis on Hybrid Spectrum Handoff Schemes in Cognitive Radio Networks

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 941))

Abstract

Spectrum handoff management is an important issue which needs to be addressed in Cognitive Radio Networks (CRN) for interminable connectivity and productive usage of unallocated spectrum for the unlicensed users. Spectrum handoff which comes under the phase of Spectrum mobility in CRN plays a vital role in ensuring seamless connectivity which is quite exigent. Handoff process in general comes under active and proactive types. The intelligent and hybrid handoff methods which combines both these types based on the network conditions proves to be quite satisfactory in the recent works. This paper proposes a hybrid novel method for handling the handoff mechanism based on Fuzzy rough set theory (FRST) with Support Vector machine (SVM), which enables the decision making stage of the handoff process more tenable and productive. The implied method predicts the node wherein handoff is to be initiated in the lead through which the handoff delay time and number of handoffs are minimized. The experimental results are compared with the previously proposed hybrid schemes including Fuzzy genetic algorithm (FGA) based handoff, FGA with cuckoo search (CS) optimization technique, FRS with CS and the findings portray the suggested methodology attains better prediction mechanism with minimal handoffs.

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References

  1. Kumar, K., Prakash, A., Tripathi, R.: Spectrum handoff scheme with multiple attributes decision making for optimal network selection in cognitive radio networks. Digit. Commun. Netw. 3(4), 164–175 (2017)

    Article  Google Scholar 

  2. Bhatia, M., Kumar, K.: Network selection in cognitive radio enabled wireless body area networks. Digit. Commun. Netw. 1–11 (2018)

    Google Scholar 

  3. Ujarari, C.S., Kumar, A.: Handoff schemes and its performance analysis of priority within a particular channel in wireless systems. Int. J. Res. Appl. Sci. Eng. Technol. 3(5), 1021–1026 (2015)

    Google Scholar 

  4. Kumar, K., Prakash, A., Tripathi, R.: Spectrum handoff in cognitive radio networks: a classification and comprehensive survey. J. Netw. Comput. Appl. 61(C), 161–168 (2016)

    Article  Google Scholar 

  5. Christian, I., Moh, S., Chung, I., Lee, J.: Spectrum mobility in cognitive radio networks. IEEE Commun. Mag. 50(6), 114–121 (2012)

    Article  Google Scholar 

  6. Salgado, C., Hernandez, C., Molina, V.: Intelligent algorithm for spectrum mobility in cognitive wireless networks. Procedia Comput. Sci. 83, 278–283 (2016)

    Article  Google Scholar 

  7. Hernandez, C., Pedraza, E.: Multivariable adaptive handoff spectral model for cognitive radio networks. Contemp. Eng. Sci. 10(2), 39–72 (2017)

    Article  Google Scholar 

  8. Yan, S., Yan, X.: Vertical handoff decision algorithm based on predictive RSS and reduced fuzzy system using rough set theory. J. Inf. Comput. Sci. 12(12), 4677–4688 (2015)

    Article  Google Scholar 

  9. Mir, U., Munir, A.: An adaptive handoff strategy for cognitive radio networks. Wirel. Netw. 24(6), 2077–2092 (2017)

    Article  Google Scholar 

  10. Josephine Dhivya, J., Ramaswami, M.: Ingenious method for conducive handoff appliance in cognitive radio networks. Int. J. Electr. Comput. Eng. 8(2), 5195–5202 (2018)

    Article  Google Scholar 

  11. Mardani, A., Nilashi, M., Antucheviciene, J., Tavana, M., Bausys, R., Ibrahim, O.: Recent fuzzy generalizations of rough sets theory: a systematic review and methodological critique of the literature. Complexity 2017, Article ID 1608147, 1–33 (2017)

    Article  MathSciNet  Google Scholar 

  12. Kumar, M., Yadav, N.: Fuzzy rough sets and its application in data mining field. Adv. Comput. Sci. Inf. Technol. 2(3), 237–240 (2015)

    Google Scholar 

  13. Cho, M.-Y., Hoan, T.T.: Feature selection and parameter optimization of SVM using particle swarm optimization for fault classification in power distribution systems. Comput. Intell. Neurosci. 1, 1–9 (2017)

    Article  Google Scholar 

  14. Eitrich, T., Lang, B.: Efficient optimization of support vector machine learning parameters for unbalanced data sets. J. Comput. Appl. Math. 196(2), 425–436 (2006)

    Article  MathSciNet  Google Scholar 

  15. Josephine Dhivya, J., Ramaswami, M.: A study on quantitative parameters of spectrum handoff in cognitive radio networks. Int. J. Wirel. Mob. Netw. 9(1), 31–38 (2017)

    Article  Google Scholar 

  16. Josephine Dhivya, J., Ramaswami, M.: Analysis of handoff parameters in cognitive radio networks on coadunation of wifi and wimax systems. In: IEEE International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials 2017, pp. 190–194. IEEE Xplore Digital Library, Chennai (2017)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Applications, Madurai Kamaraj University, Madurai, India

    J. Josephine Dhivya & M. Ramaswami

Authors
  1. J. Josephine Dhivya
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  2. M. Ramaswami
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Corresponding author

Correspondence to J. Josephine Dhivya .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, WA, USA

    Ajith Abraham

  2. School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

    Aswani Kumar Cherukuri

  3. Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Melin

  4. Machine Intelligence Research Labs, Auburn, WA, USA

    Niketa Gandhi

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Josephine Dhivya, J., Ramaswami, M. (2020). A Perusal Analysis on Hybrid Spectrum Handoff Schemes in Cognitive Radio Networks. In: Abraham, A., Cherukuri, A., Melin, P., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2018 2018. Advances in Intelligent Systems and Computing, vol 941. Springer, Cham. https://doi.org/10.1007/978-3-030-16660-1_31

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