Final Year Projects in NS2

B.Tech is the study of computer technology and telecommunication methods. WE handle B.Tech final year projects in NS2 are based on analyzing network behavior and ensure a solution to network issues. We focused on energy efficiency, quality of service, security and simulation of various networks and protocols are handled and supported by us for students. Various application such as simulating smart grid wireless communication, delay tolerant network, location tracing in wireless sensor network are implemented in NS2 based on Springer reference papers by our team.

WE enhance NS2 because it provides real time simulation environment for networking applications. Various networks are studied and analyzed in B.Tech final year projects in NS2.


TDMA Protocol in NS2:

TDMA protocol is implemented by us to avoid contention during data transmission in NS2. We can save energy by eliminating collision and avoiding over hearing by using the TDMA in NS2.



QoD Protocol:

We implement QoD protocol in hybrid network by our team. To implement future communication network, our team combine mobile wireless Ad hoc network and wireless infrastructure. It used to solve packet routing problem and resource scheduling problem.



Disruption Tolerant Networks in NS2:

By the use of network simulation tool, we enable disruption tolerant networks to store and forward functionality and exploiting node mobility simulation. We implemented this model for efficient communication in end to end connectivity. Various network failures are handled by this network. The functions implemented by our team in network are to store e-mail (or) message in network nodes temporarily. They implement ant colony procedure to check network whether it is ready to pass information (or) not. If it is ready intermediate node forward stored information to destination n node. By this process, it provides reliable services to data communication and packet loss got reduced.



Dual Site Bond Model in Ns2:

We provide this model to compare various types of algorithms and performance issue in NS2. It is mainly suitable to determine pore size distribution. This method include determination function are performed by absorption and desorption hysteresis data. We implement this model because it is the simplest pore model for spatial correlation among pore size.

We developed more than 80+ projects in NS2 with various model in an efficient way by our technical team members.


Journal Support for NS2 Projects: (Final Year Projects in NS2)