Veins simulator

Veins is an open source network simulation framework for running vehicular based Projects which can offer unrestricted extensibility. Veins simulator requires Omnet++ and sumo framework for simulation. Veins 3.0 is the current stable version which is downloaded and used for running vehicular network simulation framework.Veins 4 alpha 2 is unstable version which is also available for download but unstable version which is still in testing environment.Veins model can be used to solve challenges in vehicular Ad-hoc Network

Features of VEINS Simulator:

  • Online Reconfiguration.
  • Re-routing of vehicles.
  • Wide Range of Metrics are utilized in Veins simulator.
  • Fully detailed models of IEEE 802.11p.
  • IEEE 1609.4 DSRC/WAVE network layers.
  • Trusted Vehicular Mobility Model.

Advantages of VEINS:

  • Flexibility.
  • Acceptable Simulator.
  • Active community with support.
  • Beaconing.
  • Provide integrated solution.

Veins-simulator-model

Benefits of VEINS simulator:

  • Uses a TCP Connection and Python Scripts to enable SUMO whicj act as a mobility model in omnet++ simulation.
  • Nodes can be freely  interacted  with the running road traffic simulation.
  • Veins offers a comprehensive suite of IVC-specific models which serve as a modular framework for simulating applications.

Working Process of VEINS:

  • Network simulation is performed by omnet++ along with the physical layer modeling.
  • Both simulators are bi-directionally vechiles can be coupled.
  • Simulations are performed on the basis of domain specific models for vehicular networking.

Veins-simulator-Projects

  • WDM deployment in the local exchange network.
  • Universal Personal Networking.
  • Optical networking trends and evolution.
  • Performance of probabilistic caching and cache replacement policies for Content-Centric Networks.
  • Green Networking With Packet Processing Engines: Modeling and Optimization.
  • Why we still don’t know how to simulate networks.
  • A compound document framework for multimedia networking.
  • Information Centric Networks for Parallel Processing in the Datacenter.

Network Veins Simulator Projects.

  1. Ethics in Social Networking: A Framework for Evaluating Online Information Disclosure.
  2. Structure of Dictionary Entries of Bangla morphemes for morphological rule generation for Universal Networking Language.
  3. Integrated Wireless Networking Architecture for Maritime Communications.
  4. Criticality of large delay tolerant networks via directed continuum percolation in space-time.
  5. Differentiated services provision in a converged DVB/IP networking environment.
  6. Motivation – networking – cooperation the Cisco Networking Academy Program from Hungary.
  7. Improved Multi-Path AODV Protocols for Real-Time Video Transport over Mobile Ad Hoc Networks.
  8. Message management in home networking based on XML.
  9. Software defined radio wideband networking QoS test bed.
  10. Cisco Networking Academy Learning Technologies Integration into the National Academic Standardised Study Programme.

IEEE Veins Omnet++ Simulation Projects.

  • IEEE Standard Environmental and Testing Requirements for Communications Networking Devices Installed in Electric Power Substations – Redline.
  • Impact of optical networking on paradigm shift in telecommunications infrastructure development
    Signs of recovery in the optical networking arena.
  • The Trajectory Exposure Problem in Location-Aware Mobile Networking.
  • Named Data Networking: A natural design for data collection in Wireless Sensor Networks.
  • Next-Generation Applications on Cellular Networks: Trends, Challenges, and SolutionsOn the applicability of Architecture Description Languages to future internet networking environments.
  • Multimedia communication and its impact on photonic networking.
  • Using web-based and social networking technologies to disseminate coastal hazard mitigation information within the Pacific Northwest component of the Integrated Ocean Observing System (IOOS).
  • Stumbl: Using Facebook to collect rich datasets for opportunistic networking research.