Main Reference PaperEnergy-Aware Cooperative Content Distribution over Wireless Networks: Optimized and Distributed Approaches, IEEE Transactions on Vehicular Technology, 2013.
  • The proposed polynomial time heuristic algorithm overcomes the optimization problems under a large scale network. A distributed algorithm according to the coalitional game theory allowing the mobile nodes to create coalitions and select the group independently to join. Moreover, the polynomial time heuristic algorithm reduces the computation complexity significantly.

+ Description
  • The proposed polynomial time heuristic algorithm overcomes the optimization problems under a large scale network. A distributed algorithm according to the coalitional game theory allowing the mobile nodes to create coalitions and select the group independently to join. Moreover, the polynomial time heuristic algorithm reduces the computation complexity significantly.

  • To propose both the centralized and distributed for cooperative content distribution

  • To reduce the computational complexity and achieve an energy efficient content distribution in wireless networks

+ Aim & Objectives
  • To propose both the centralized and distributed for cooperative content distribution

  • To reduce the computational complexity and achieve an energy efficient content distribution in wireless networks

  • To reduce the computational complexity of centralized content distribution technique, the Long range links are also taken into account, when the signal strength of packet transmitted among long range devices is high

+ Contribution
  • To reduce the computational complexity of centralized content distribution technique, the Long range links are also taken into account, when the signal strength of packet transmitted among long range devices is high

  • 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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