Network Simulator 2

Network Simulator 2 is a simulator framework for large communication Network. We create NS2 modeling tool for large scale network communication in both wired and wireless network. Also, We develop NS2 simulator projects using C++ and OTCL language. NS2 permit C++ to run program fast with complete control. We use OTCL to control simulation setup and configuration.

We offer Network simulator 2 projects based IEEE paper for B.E and M.E for their academic final year projects. Also, We implement NS2 simulator which is suitable to design network related projects. We simulate network such as public shared network, infrastructure and infrastructure less wireless network are designed by NS2 simulation and described as follows:

Public Shared Network:

We use public shared network which composed of large number of bandwidth sharable devices. In this network we use traffic localized and efficient tree based architecture to support EvalVid SVC encoded live video streaming onto public shared Network. We apply this streaming to ensure smooth access for clients in heterogeneous network. This streaming composed of various sub layer stream. To enhance smooth decoding client require receiving respective sub layer streams. We build live stream architecture by grouping sharable access point and clients by trace route information.


To develop pervasive application we use EVALVSN in wireless sensor network. To evaluate video transmission in wireless sensor network we apply this tool called EvalVSN. We implement this tool for video transmission in WSN also for student projects with denoting QoS parameter such as bandwidth, energy, storage and also processing. We also implement EvalVSN is NS2 simulation which contain a trace file.

Infrastructured Wireless Network:

To develop network application with properly defined network structure called Infra-structured wireless network. We also use Distributed Localized algorithm and voronoi diagrams to create application in wireless network. In wireless network voronoi diagram provide advantages as lower latency, higher throughput and energy efficient. By the use of distributed algorithm in wireless system we can also enhance scalability and network randomization.

Generalized Predictive Control:

We also operate network control system over communication network in wireless sensor network to deal major issue called induced delay. This delay happened in actuator, sensor, and also controllers. We also use adaptive generalized predictive control in wireless network to decrease the network induced delay. Also, We implement GPC in wireless network by NS2. We proposed more than 90+ projects in NS2 also with various network communications.

Endpoint Admission Controls:

Endpoint admission control system (EAC) is also in IP networks. We also implement EAC mechanism to develop independent measurement for each edge node packet flow from source to destination.

We provide two operations in IP-networks are:
  • Connection admission decision also based on analysis of proling flow delay variations.
  • No need of additional rely procedure also in internet network router other than additional service providers.

To defect stateful centralized problem, we also perform admission control within diffuser class to satisfy QoS performance in traffic network. We implement this process by NS2 simulation and to analyze EAC scheme driven by Probe loss.

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