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Mobility Prediction for Dynamic Location Area in Cellular Network Using Super Vector Regression

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Progress in Advanced Computing and Intelligent Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 714))

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Abstract

Mobility Prediction of Mobile Users in a cellular network is one of the burning issues. Once the Mobile Users location is properly predicted using mobility prediction methods in the cellular network then service-related problems can be resolved. Super Vector Regression (SVR) method is one of the methods using which mobility prediction of mobile users is possible. SVR method predicts the mobility of mobile device in cellular network better than other mobility prediction methods. SVR gives a better result for reducing location management cost by creating dynamic location area for Mobile Users. This dynamic location area is increasing prediction accuracy of Mobile Users using SVR method.

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Author information

Authors and Affiliations

  1. Computer IT Engineering, B.V.M. Engineering College, Gujarat Technological University, V. V. Nagar, India

    Nilesh B. Prajapati

  2. Information Technology Center, Anand Agriculture University, Anand, 388110, Gujarat, India

    Dhaval R. Kathiriya

Authors
  1. Nilesh B. Prajapati
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  2. Dhaval R. Kathiriya
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Corresponding author

Correspondence to Nilesh B. Prajapati .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Rama Devi Women’s University, Bhubaneswar, Odisha, India

    Chhabi Rani Panigrahi

  2. Department of Computer Science, Central University of Rajasthan, Ajmer, Rajasthan, India

    Arun K. Pujari

  3. Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India

    Sudip Misra

  4. Department of Computer Science, Rama Devi Women’s University, Bhubaneswar, Odisha, India

    Bibudhendu Pati

  5. Department of Computer Science and Information Engineering (CSIE), Providence University, Taichung, Taiwan

    Kuan-Ching Li

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Prajapati, N.B., Kathiriya, D.R. (2019). Mobility Prediction for Dynamic Location Area in Cellular Network Using Super Vector Regression. In: Panigrahi, C., Pujari, A., Misra, S., Pati, B., Li, KC. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 714. Springer, Singapore. https://doi.org/10.1007/978-981-13-0224-4_41

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  • DOI: https://doi.org/10.1007/978-981-13-0224-4_41

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0223-7

  • Online ISBN: 978-981-13-0224-4

  • eBook Packages: EngineeringEngineering (R0)

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