Main Reference PaperMaximal Weight Topology Discovery in Ad hoc Wireless Sensor Networks, IEEE, 2010.
  • The proposed algorithm is a Weighted Clustering Approach which takes into account the network and the properties of the sensor nodes. The algorithm defines the topology in two phases. The first phase is Information exchange phase in which the nodes exchange their resources information. In the second phase the clusters in the network are discovered. The goal of the algorithm is to minimize the number for reconfigurations and minimize the number of cluster heads which results in near optimal topology for the network.

+ Description
  • The proposed algorithm is a Weighted Clustering Approach which takes into account the network and the properties of the sensor nodes. The algorithm defines the topology in two phases. The first phase is Information exchange phase in which the nodes exchange their resources information. In the second phase the clusters in the network are discovered. The goal of the algorithm is to minimize the number for reconfigurations and minimize the number of cluster heads which results in near optimal topology for the network.

  • To minimize the number of reconfigurations

  • To minimize the number of Cluster Head

+ Aim & Objectives
  • To minimize the number of reconfigurations

  • To minimize the number of Cluster Head

  • The contribution is Distance based Cluster Head Selection. Each node calculate the weight.Ω(node) = Node Energy + Node Mobility + Node Degree + Neighboring Nodes positions + Data Rate + Target Revisit Rate + distance to the base station. The weight factor can be adjusted. The node with the maximum weight is considered as the best candidate for becoming a cluster head using this process the path should be energy efficient.

+ Contribution
  • The contribution is Distance based Cluster Head Selection. Each node calculate the weight.Ω(node) = Node Energy + Node Mobility + Node Degree + Neighboring Nodes positions + Data Rate + Target Revisit Rate + distance to the base station. The weight factor can be adjusted. The node with the maximum weight is considered as the best candidate for becoming a cluster head using this process the path should be energy efficient.

  • OS : Window 7 (Cygwin) / Ubuntu 12.04 LTS 64bit.

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

+ Software Tools & Technologies
  • OS : Window 7 (Cygwin) / Ubuntu 12.04 LTS 64bit.

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

  • B.E / B.Tech / M.E / M.Tech

+ Project Recommended For
  • B.E / B.Tech / M.E / M.Tech

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.