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An Adaptive Resource Reservation and Distributed Admission Control Scheme for Mobile Networks

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Distributed Computing (IWDC 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2571))

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Abstract

We propose a resource reservation policy called Mobility-adaptive Bandwidth Reservation (MBR) scheme. The scheme performs admission control and is adaptive to changes in traffic caused by user mobility. It involves storing and analyzing information regarding the history of user crossover patterns to predict the future resource requirements. Each of the cell sites does resource prediction and admission control independently with zero traffic/signaling overhead which makes the MBR scheme fully distributed. We have carried out extensive simulation studies to investigate the performance of our scheme and the simulation results appear promising.

The first author is supported by an Infosys scholarship.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering IIT, 721302, Kharagpur, India

    Hemanta Kumar Pati, Rajib Mall & Indranil Sengupta

Authors
  1. Hemanta Kumar Pati
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  2. Rajib Mall
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  3. Indranil Sengupta
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Texas at Arlington Center for Research in Wireless Mobility and Networking (CReWMaN), P.O. Box 19015, 76019-0015, Arlington, TX, USA

    Sajal K. Das

  2. Department of Computer Science and Engineering, Jadavpur University, 700 032, Calcutta

    Swapan Bhattacharya

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© 2002 Springer-Verlag Berlin Heidelberg

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Kumar Pati, H., Mall, R., Sengupta, I. (2002). An Adaptive Resource Reservation and Distributed Admission Control Scheme for Mobile Networks. In: Das, S.K., Bhattacharya, S. (eds) Distributed Computing. IWDC 2002. Lecture Notes in Computer Science, vol 2571. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36385-8_22

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  • DOI: https://doi.org/10.1007/3-540-36385-8_22

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00355-7

  • Online ISBN: 978-3-540-36385-9

  • eBook Packages: Springer Book Archive

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