Main Reference PaperGenetic algorithm application in optimization of wireless sensor networks, The Scientific World Journal 2014 [NS2]
  • Genetic algorithm based clustering achieves reduced energy consumption and increased number of alive nodes through the optimized number of CH selection. GA selects the nodes for placement in optimized manner based on fitness that depends on the node distance to hole center and node coverage area. 

+ Description
  • Genetic algorithm based clustering achieves reduced energy consumption and increased number of alive nodes through the optimized number of CH selection. GA selects the nodes for placement in optimized manner based on fitness that depends on the node distance to hole center and node coverage area. 

  • To improve the network lifetime

  • To reduce energy consumption and increase number of alive nodes .

+ Aim & Objectives
  • To improve the network lifetime

  • To reduce energy consumption and increase number of alive nodes .

  • A technique is contributed to initialize the chromosome in optimized manner.

+ Contribution
  • A technique is contributed to initialize the chromosome in optimized manner.

  • 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++)

  • 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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