Main Reference PaperMulti-agent deep learning for simultaneous optimization for time and energy in distributed routing system, Future Generation Computer Systems, 2018 [Python]
  • The proposed deep reinforcement learning based network packet routing models every router in the network as the deep neural network to handle the heterogeneous data. It facilitates the optimization of traveling time and energy consumption of the router.

Description
  • The proposed deep reinforcement learning based network packet routing models every router in the network as the deep neural network to handle the heterogeneous data. It facilitates the optimization of traveling time and energy consumption of the router.

  • To optimize the travel time and the energy consumption of the routed entities

  • To address the routing issue in a different environment

Aim & Objectives
  • To optimize the travel time and the energy consumption of the routed entities

  • To address the routing issue in a different environment

  • The proposed system is further improved by using the various learning techniques to enhance the performance

Contribution
  • The proposed system is further improved by using the various learning techniques to enhance the performance

  • 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-project delivery Depending on the complexity of the project and requirements.

Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

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.

Leave Comment

Your email address will not be published. Required fields are marked *

clear formSubmit