Main Reference PaperAn Energy Efficient Data Redundancy Reduction Approach for Data Aggregation in WSN, International Journal of Computer Science Issues, July 2013 .
  • Energy saving in BFOA approaches can be done by cluster formation, cluster-head election, data collection at the cluster-head nodes to reduce data redundancy and thus save energy and also to improve energy efficiency of homogeneous WSN. It also defines Bacterial Foraging Optimization Algorithm (BFOA) as an algorithm for selecting best cluster head selection for WSN.

+ Description
  • Energy saving in BFOA approaches can be done by cluster formation, cluster-head election, data collection at the cluster-head nodes to reduce data redundancy and thus save energy and also to improve energy efficiency of homogeneous WSN. It also defines Bacterial Foraging Optimization Algorithm (BFOA) as an algorithm for selecting best cluster head selection for WSN.

  • Cluster head selection based on Bacterial Foraging Optimization Algorithm (BFOA) as an algorithm¬†

  • To improve the energy efficiencyof homogeneous WSN

+ Aim & Objectives
  • Cluster head selection based on Bacterial Foraging Optimization Algorithm (BFOA) as an algorithm¬†

  • To improve the energy efficiencyof homogeneous WSN

  • The sensor node joins with the cluster head for transmitting the data. The selection of cluster head depends on the distance betweensink node and the cluster head. The distance between the sink node and each cluster head is calculated. The sensor node chooses the cluster head which has the minimum distance to the sink node and joins with that and transmits data.

+ Contribution
  • The sensor node joins with the cluster head for transmitting the data. The selection of cluster head depends on the distance betweensink node and the cluster head. The distance between the sink node and each cluster head is calculated. The sensor node chooses the cluster head which has the minimum distance to the sink node and joins with that and transmits data.

  • 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.