NS2 Projects on Communication

Guidance to develop NS2 Projects on Communication Domain

Network simulator version 2 is an event based driven discrete network simulator framework. We use NS2 to create variety of application in networking without any requirements. We offer NS2 academic projects for communication based application which deals with communication of various developed technologies. Communication projects are mostly useful and chosen by ECE students. We carry out communication based research projects for PhD scholars. The latest 5G network communication model is analyzed by NS2 simulation. We develop various routing protocols and control system based application in Ns2 simulation.

Communication Based Train Control System:

We provide and implement real time projects and IEEE based projects. Communication based train control system is best solution for transit rail system. The communication model is given by us are:

  • Trackside Data Communication Network.
  • Radio Based Track to Train Communication.
  • Train Borne Data Communication Network.

We space access point along track and it permit train to communicate with track side communication network. By this process it enables automatic train protection and operation in network. Data such as public address, passenger entertainment, passenger information are performed by separate network called non-safely related work. By this system we can enable radio access network with access points. Train travel information is denoted by access points. We implement this method by NS2 simulation.

Chaotic Routing:

An important issue in communication network is packet congestion. We provide reliable communication by routing strategies. We processed more than 110+ projects with various routing to ensure efficient communication under ns2 simulation. To implement neuro dynamics network we use chaotic routing. It ensures high performance communication among network with shortest path. By the integration of shortest path and adjacent node waiting time we enhance a routing strategy. It is an efficient routing method to eradicate packet congestion in network.

Smart Sensor Networks:

We use network with connected sensor, actuators and controllers. We use this network to implement smart sensor networks. In smart sensor network we provide medium access control (MAC) protocol is used. We implement CAN (control area Network) based smart sensor network is analyzed by real time scheduling algorithms. We apply CAN protocol to enhance application responsiveness supported by smart sensor network.

M2M Communication Network:

Machine to machine communication is the important communication process. We use M2M communication which enable machine as networked and data can be freely exchanged among nodes. We implement Machine to machine communication which is referred as data communication include more machines and no need of human interaction. We communicate M2M in two ways they are:

  • Uplink to Collect Product and Usage Information.
  • Downlink to Send Instructions (Or) Software Updates by Remotely Monitored Equipment.

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Journal Support for Research Scholars
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Ns2 Projects Work Progress
  • MANET – Mobile Ad Hoc Network 95%
  • VANET – Vechicle Ad Hoc Netwok 97%
  • LTE – Long Term Evolution 78%
  • IoT – Internet of Things 90%
  • Wireless Sensor Network 89%
  • Network Security 89%
  • Ns2 Attacks 96%
  • Cognitive Radio Network 85%
  • Parallel and Distributed Computing 73%
  • SDN – Software Defined Networking 95%
  • P2P , Video Streaming , Peersim 96%
  • IPV4 , IPV6 88%
  • 4G Network , 5G Network 80%
  • Visual , Underwater Sensor Network 79%
  • Multicasting Communication 84%
  • Wimax, WiFi 90%
  • OFDMA 94%
Our Achievements – Ns2 Projects
Ns2 Projects Achievements