Main Reference PaperAn Energy Efficient Framework For Densely Distributed WSNs IoT Devices Based on Tree Based Robust Clusterhead, Springer, Wireless Personal Communications, 2018 [NS2]
  • The proposed model introduces a tree-based cluster network management architecture in a densely distributed wireless sensor network. The reinforcement learning based fuzzy interference system is used to select the data gathering node for each cluster in the network based on the neighborhood overlap, bi-partivity index, and algebraic connectivity.

Description
  • The proposed model introduces a tree-based cluster network management architecture in a densely distributed wireless sensor network. The reinforcement learning based fuzzy interference system is used to select the data gathering node for each cluster in the network based on the neighborhood overlap, bi-partivity index, and algebraic connectivity.

  • To achieve high stable links that adapt to the high mobility environment

  • To enhance the throughput, packet delivery ratio, bit error rate, and end to end delay

Aim & Objectives
  • To achieve high stable links that adapt to the high mobility environment

  • To enhance the throughput, packet delivery ratio, bit error rate, and end to end delay

  • The contribution focuses on providing more efficient cluster head selection and energy utilization.

Contribution
  • The contribution focuses on providing more efficient cluster head selection and energy utilization.

  • 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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