Main Reference PaperAn Energy Efficient and Congestion Control Data Driven Approach for Cluster Based Sensor Networks, Mobile Network and Applications, 2018 [NS2]
  • The proposed model introduces an in-node data aggregation technique in a cluster based hierarchical network, which reduces the degree of correlation with minimum energy consumption. The data aggregation occurs at the cluster head before forwarding the data to the base station that improves the packet collision rate, communication cost, and network congestion in the network.

Description
  • The proposed model introduces an in-node data aggregation technique in a cluster based hierarchical network, which reduces the degree of correlation with minimum energy consumption. The data aggregation occurs at the cluster head before forwarding the data to the base station that improves the packet collision rate, communication cost, and network congestion in the network.

  • To eliminate redundancy in the sensed data

  • To achieve energy efficiency and enhancing network lifetime

Aim & Objectives
  • To eliminate redundancy in the sensed data

  • To achieve energy efficiency and enhancing network lifetime

  • The data aggregation model contributes to improving the approach by considering the diverse data collection in the network.

Contribution
  • The data aggregation model contributes to improving the approach by considering the diverse data collection in the network.

  • 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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