Main Reference Paper An Evolutionary Intuitionistic Fuzzy K-means Clustering Approach based Cluster Head Selection in MANET, International Journal of Computer Applications, July 2017 [NS2].
  • An intuitionistic fuzzy k-means based clustering algorithm is proposed. The election of cluster head is done through the genetic algorithm with the factors of residual energy, distance and density of each node. The node with highest factor is selected based on the membership and non-membership value of the factors. The data passed by the nodes in the cluster does not communicate with the base station they pass it to the cluster head where the data are collected, compressed and passed to the base station via gateway or the other cluster heads.

Description
  • An intuitionistic fuzzy k-means based clustering algorithm is proposed. The election of cluster head is done through the genetic algorithm with the factors of residual energy, distance and density of each node. The node with highest factor is selected based on the membership and non-membership value of the factors. The data passed by the nodes in the cluster does not communicate with the base station they pass it to the cluster head where the data are collected, compressed and passed to the base station via gateway or the other cluster heads.

  • To reduce the energy consumption.

  • To increase the network lifetime on the network.

Aim & Objectives
  • To reduce the energy consumption.

  • To increase the network lifetime on the network.

  • A technique is contributed to further enhance the selection process of cluster head with additional parameters, choosing different types of clustering formats in dynamic and adversial environment determining misbehaving nodes which leads to node failure.

Contribution
  • A technique is contributed to further enhance the selection process of cluster head with additional parameters, choosing different types of clustering formats in dynamic and adversial environment determining misbehaving nodes which leads to node failure.

  • 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-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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