Using Enhanced Stimulated Annealing Algorithm to Performing Investigation in Cognitive Radio Network

Using Enhanced Stimulated Annealing Algorithm to Performing Investigation in Cognitive Radio Network

AUTHOR

  • C DINESH BABU1, N MOHAN2
  • SUBMITTED

  • 2020
  • PUBLISHED MONTH

  • November-December
  • ARTICLE TYPE

  • Research
  • DOWNLOAD

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    STATICS

    ABSTRACT


    This document presents the optimization of quality of service for
    unlicensed subscribers anticipating the QoS of the primary users as well. The
    concept of cognitive radio came into existence for the exclusive use of the unused
    spectrum space by the licensed users. The unlicensed user or the secondary users
    use the unoccupied spectrum spaces of licensed user's spectrum for the effective
    usage of the spectrum. The use of live streaming, Voice over Internet
    protocol(VoIP) and multi media applications which are delay sensitive
    applications throughout the session. The constraints like delay and throughput
    and the quality of service are affected due to these applications. To overcome
    these constraints the tradeoff between these parameters must be employed. In this
    paper, an extension to the non-work conservation policy is implemented in
    Cognitive radio network(CRN) by using the optimization algorithm known as
    Enhanced stimulated annealing(ESA) algorithm to bring forth the tradeoff
    between delay and throughput.
    Keywords: Cognitive Radio, Delay, Enhanced stimulated annealing Algorithm,
    Optimization, Throughput, Trade-off.
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    Using Enhanced Stimulated Annealing Algorithm to Performing Investigation in Cognitive Radio Network