Main Reference PaperAn Energy Efficient Critical Event Monitoring Routing Method for Wireless Sensor Networks, International Journal of Computer Applications, March 2015.
  • A new improved algorithm EEDRINA is proposed and compared to two other known solutions Low Energy Adaptive Clustering Hierarchy (LEACH) and Data Routing for In Network Aggregation (DRINA) algorithms which is intended to improve the routing technique to improve routing performance as well as balance energy consumption of the entire network.

+ Description
  • A new improved algorithm EEDRINA is proposed and compared to two other known solutions Low Energy Adaptive Clustering Hierarchy (LEACH) and Data Routing for In Network Aggregation (DRINA) algorithms which is intended to improve the routing technique to improve routing performance as well as balance energy consumption of the entire network.

  • To extend the network lifetime

  • To maximize the data aggregation and to create a routing tree with shortest path that connect all source node to the sink.

+ Aim & Objectives
  • To extend the network lifetime

  • To maximize the data aggregation and to create a routing tree with shortest path that connect all source node to the sink.

  • A technique is contributed is construct the routing tree that depends on application and it considers both temporal and spatial correlation of aggregation.

+ Contribution
  • A technique is contributed is construct the routing tree that depends on application and it considers both temporal and spatial correlation of aggregation.

  • 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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