Main Reference Paper Practical Asynchronous Neighbor Discovery in Ad Hoc Networks With Directional Antennas, IEEE Transaction on Vehicular Security, 2016 [NS2].
  • A one-way handshake based asynchronous neighbor discovery algorithm is analyzed by introducing a mathematical model named ‘Problem of Coloring Balls’. Then, it extends the hybrid asynchronous algorithm which leads to decrease in the expected time of neighbor discovery.

+ Description
  • A one-way handshake based asynchronous neighbor discovery algorithm is analyzed by introducing a mathematical model named ‘Problem of Coloring Balls’. Then, it extends the hybrid asynchronous algorithm which leads to decrease in the expected time of neighbor discovery.

  • To design practical and efficient algorithms that allow each node to discover all of its neighboring nodes rapidly.

  • To decrease the neighbor discovery expected time.

+ Aim & Objectives
  • To design practical and efficient algorithms that allow each node to discover all of its neighboring nodes rapidly.

  • To decrease the neighbor discovery expected time.

  • A technique is contributed to further improve the neighbor discovery algorithm using hybrid asynchronous.

+ Contribution
  • A technique is contributed to further improve the neighbor discovery algorithm using hybrid asynchronous.

  • 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.