Main Reference Paper Optimized Power Control and Efficient Energy Conservation for Topology Management of MANET with an Adaptive Gabriel Graph, Computers and Electrical Engineering, 2018 [NS2].
  • A clustering based scalable topology control method, Optimized Power Control (OPC) is proposed to determine the optimal transmission power of nodes with the help of modified Gabriel Graph (GG) algorithm. OPC is tested for its efficiency in terms of various network parameters such as transmission power, per node energy consumption and network delay

Description
  • A clustering based scalable topology control method, Optimized Power Control (OPC) is proposed to determine the optimal transmission power of nodes with the help of modified Gabriel Graph (GG) algorithm. OPC is tested for its efficiency in terms of various network parameters such as transmission power, per node energy consumption and network delay

  • To optimize the energy consumption

  • To reduce the message overhead

  • To increase the lifetime of dense networks.

Aim & Objectives
  • To optimize the energy consumption

  • To reduce the message overhead

  • To increase the lifetime of dense networks.

  • The simplicity of the OPC makes it suitable to be used for performance enhancement of other network scenarios such as WSNs, VANETs and CRNs

Contribution
  • The simplicity of the OPC makes it suitable to be used for performance enhancement of other network scenarios such as WSNs, VANETs and CRNs

  • Operating System : Ubuntu 12.04 LTS 64bit.

  • Simulator: NS 2.35, Language : TCL and AWK script, (C++)

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

  • Simulator: NS 2.35, 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-project delivery Depending on the complexity of the project and requirements.

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

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