Main Reference PaperDragonfly Algorithm: A New Meta-Heuristic Optimization Technique for Solving Single-Objective, Discrete, and Multi-Objective Problems, Springer, 2015.
  • The proposed dragonfly algorithm deals with cluster formation based on different events, cluster head selection, aggregation of the sensed data within a cluster and sending that to the base station in an efficient way. The main inspiration of the Dragonfly algorithm (DA) originates from the static and dynamic swarming behaviors of dragonflies in nature.

+ Description
  • The proposed dragonfly algorithm deals with cluster formation based on different events, cluster head selection, aggregation of the sensed data within a cluster and sending that to the base station in an efficient way. The main inspiration of the Dragonfly algorithm (DA) originates from the static and dynamic swarming behaviors of dragonflies in nature.

  • To find the energy efficient cluster head using the parameters separation, cohesion and alignment.

  • To reduce the number of transmission

+ Aim & Objectives
  • To find the energy efficient cluster head using the parameters separation, cohesion and alignment.

  • To reduce the number of transmission

  • A dragonfly algorithm based clustering is enhanced with efficient clusterhead technique which is based on connectivity, highest residual energy and mobility.

+ Contribution
  • A dragonfly algorithm based clustering is enhanced with efficient clusterhead technique which is based on connectivity, highest residual energy and mobility.

  • 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

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