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Design and study of VoIP model in cognitive radio network under different simulation platforms

Published: 03 September 2012 Publication History

Abstract

Rapid growth followed by increasing popularity in VoIP systems has witnessed rollout to new services and applications in emerging technologies like Cognitive Radio Networks (CRN). The stringent QoS requirements in VoIP coupled with the complexities in CRN have initiated intensive research in the field of performance analysis and optimizations guided by simulation results. However, in the absence of any standard model of VoIP over CRN, accuracy and credibility of the simulation output are strongly dependent on proper design of the simulation model. The objective of this paper is to build standard models for VoIP in CRN and successfully implement VoIP applications over CRN domain, which will serve as initial point for development with respect to all future simulation studies in VoIP over CRN category. Initially, models of VoIP in CRN are developed using OPNET Modeler 16.0.A following distributed architecture in single-channel and multi-channel scenarios. The work is extended by designing VoIP over CRN model in Visual C++ adhering to the principles of centralized architecture. The models are validated by comparison of simulation results obtained in both platforms. Extensive analysis of simulation results in the developed models indicates significant trends in VoIP QoS metrics with variation in CRN parameters.

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Cited By

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  • (2018)Design and analysis of channel reservation scheme in Cognitive Radio NetworksComputers and Electrical Engineering10.1016/j.compeleceng.2014.11.00642:C(148-167)Online publication date: 27-Dec-2018
  • (2016)Design and Implementation of VoIP Based Two-Tier Cognitive Radio Network for Improved Spectrum UtilizationIEEE Systems Journal10.1109/JSYST.2014.238260710:1(370-381)Online publication date: Mar-2016
  • (2014)A Priority Based Adaptive Channel Reservation Algorithm for Improved System Capacity in Cognitive Radio NetworksProceedings of the 2014 IEEE 17th International Conference on Computational Science and Engineering10.1109/CSE.2014.102(401-406)Online publication date: 19-Dec-2014
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cover image ACM Other conferences
CUBE '12: Proceedings of the CUBE International Information Technology Conference
September 2012
879 pages
ISBN:9781450311854
DOI:10.1145/2381716
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 03 September 2012

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Author Tags

  1. OPNET modeler 16.0.A
  2. Visual C++
  3. cognitive radio network
  4. simulation
  5. voice over IP

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CUBE '12
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Cited By

View all
  • (2018)Design and analysis of channel reservation scheme in Cognitive Radio NetworksComputers and Electrical Engineering10.1016/j.compeleceng.2014.11.00642:C(148-167)Online publication date: 27-Dec-2018
  • (2016)Design and Implementation of VoIP Based Two-Tier Cognitive Radio Network for Improved Spectrum UtilizationIEEE Systems Journal10.1109/JSYST.2014.238260710:1(370-381)Online publication date: Mar-2016
  • (2014)A Priority Based Adaptive Channel Reservation Algorithm for Improved System Capacity in Cognitive Radio NetworksProceedings of the 2014 IEEE 17th International Conference on Computational Science and Engineering10.1109/CSE.2014.102(401-406)Online publication date: 19-Dec-2014
  • (2013)An analytical framework for channel reservation scheme in Cognitive Radio Network2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)10.1109/ICACCI.2013.6637158(127-132)Online publication date: Aug-2013

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