Main Reference PaperPerformance Optimization for a Future Self-Organizing Network Based on Multi-Objective Evolutionary Techniques, IEEE Translations 2017 [NS2].
  • Self-Organizing Network (SON) paradigm is one of the anticipated solutions. It involves the use of cognition concept and optimization techniques to enhance network performance. It proposes the use of two multi-objective optimization techniques, namely the multiobjective particle swarm optimization (MOPSO) and the multiobjective central force optimization (MOCFO) in future SON to manage system resources efficiently.

+ Description
  • Self-Organizing Network (SON) paradigm is one of the anticipated solutions. It involves the use of cognition concept and optimization techniques to enhance network performance. It proposes the use of two multi-objective optimization techniques, namely the multiobjective particle swarm optimization (MOPSO) and the multiobjective central force optimization (MOCFO) in future SON to manage system resources efficiently.

  • To optimize the link cost, quality of service and load balance.

  • To increase the overall network throughput.

+ Aim & Objectives
  • To optimize the link cost, quality of service and load balance.

  • To increase the overall network throughput.

  • A technique is contributed to enhance the global network performance further.

+ Contribution
  • A technique is contributed to enhance the global network performance further.

  • Operating System : Ubuntu 12.04 LTS 64bit

  • Simulator: NS 2.33, Language: TCL and AWK Script, (C++)

+ Software Tools & Technologies
  • Operating System : Ubuntu 12.04 LTS 64bit

  • Simulator: NS 2.33, Language: TCL and AWK Script, (C++)

  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-Depending on the complexity of the project and requirements.

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