NS2 Projects

Why NS2 Projects?

Analytical Modeling is very tedious and Real Time Physical Measurements may not be possible all the time. Computer Simulation is the only feasible approach to the quantitative analysis of networks. Simulation is a very important modern technology. It can be applied to different science, engineering, or other application fields for different purposes. Application of simulation technology into networking area such as network traffic simulation, however, is relatively new. Network simulators are used by people from different areas such as academic researchers, industrial developers, and Quality Assurance (QA) to design, simulate, verify, and analyze the performance of different networks protocols.

Why NS2 Projects at Uniq?

Fine, you are choosing the right one for your career. Our training is open up your mind and provides guidance to beginner researchers. The quality of simulation training taking here would be very nice. Our training on Network simulator allows testing the scenarios that are difficult or expensive to simulate in physical world. Our training is to initiate your invent idea, not to re-invent the wheel. It particularly useful to test new networking protocols or to changes the existing protocols in a controlled and reproducible environment. It is really great Platform to initiate more about network technology.

NS2 Projects

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I. NS2 based MANET


  1. PROVEST: Provenance-based Trust Model for Delay Tolerant Networks. (IEEE 2019)
  2. An Evolutionary Self-Cooperative Trust Scheme against Routing Disruptions in MANETs. (IEEE 2019)
  3. A Unified Framework of Clustering Approach in Vehicular Ad Hoc Networks. (IEEE 2019)
  4. Bandwidth-Satisfied and Coding-Aware Multicast Protocol in MANETs. (IEEE 2019)
  5. An Online Mechanism for Detection of Gray-Hole Attacks on PMU Data. (IEEE 2019)


II. NS2 based WSN


  1. Distributed Clustering-Task Scheduling for Wireless Sensor Networks Using Dynamic Hyper Round Policy (IEEE 2019).
  2. Denial of Service (DoS) Defence for Resource Availability in Wireless Sensor Networks. (IEEE 2019)
  3. Centralized Trust Based Secure Routing in Wireless Networks. (IEEE 2019)




  1. Zero MAC Latency Sensor Networking for Cyber-Physical Systems. (IEEE 2019)
  2. A Survey of Physical Layer Security Techniques for 5G Wireless Networks and Challenges Ahead. (IEEE 2019)
  3. Forward Collision Vehicular Radar with IEEE 802.11: Feasibility Demonstration through Measurements. (IEEE 2019)
  4. Using Bayesian Networks for Probabilistic Identification of Zero-day Attack Paths. (IEEE 2019)


IV. NS2 based SDN


  1. An Effective Approach to Controller Placement in Software-Defined Wide Area Networks. (IEEE 2019)
  2. Privacy-Preserving DDoS Attack Detection Using Cross-Domain Traffic in Software Defined Networks. (IEEE 2019)
  3. Towards Bayesian-based Trust Management for Insider Attacks in Healthcare Software- Defined Networks. (IEEE 2019)


V. NS2 based VANET


  1. Key Distribution Based on Phase FluctuationBetween Polarization Modes in Optical Channel. (IEEE 2019)
  2. Distributed Social Welfare Maximization in Urban Vehicular Participatory Sensing Systems. (IEEE 2019)
  3. A Secure and Efficient Authentication Technique for Vehicular Ad-Hoc Network. (IEEE 2019)
  4. Reliable Cooperative Authentication for Vehicular Networks (IEEE 2019).
  5. Distributed Privacy-Preserving Collaborative Intrusion Detection Systems For VANETs. (IEEE 2019)
  6. Data Uploading in Hybrid V2V/V2I Vehicular Networks: Modeling and Cooperative Strategy. (IEEE 2019)
  7. A Novel Infrastructure-Based Worm Spreading Countermeasure for Vehicular Networks. (IEEE 2019)




  1. Energy-efficient and Distributed Network Management Cost Minimization in Opportunistic Wireless Body Area Network. (IEEE 2019)
  2. Certificateless Public Auditing Scheme for Cloud-Assisted Wireless Body Area Networks. (IEEE 2019)




  1. Theoretical Modeling and Analysis of Magnetic Induction Communication in Wireless Body Area Networks (WBANs). (IEEE 2019)
  2. A Cooperative Clustering Protocol with Duty Cycling for Energy Harvesting Enabled Wireless Sensor Networks. (IEEE 2019)




  1. Distributed acoustic sensor using broadband weak FBG array for large temperature tolerance. (IEEE 2019)
  2. Compressive Sampling and Reconstruction of Acoustic Signal in Underwater Wireless Sensor Networks. (IEEE 2019)
  3. Interference-Free Graph-Based TDMA Protocol for Underwater Acoustic Sensor Networks. (IEEE 2019)