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  We provide projects on wireless communication, WEKA, SentiWordNet, SDN, QUALlNet, OPNET, OpenCV, MiniNet, PEERSIM and so on

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  We do research on Wordnet, Grid Computing, Cloud Computing, Computer Networking, etc

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  We provide electrical projects based on power electronics, MATLAB Simulink and SIM Power

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  For Electronics Engineering Students we support technologies like ARM, GSM, GPS, RFID, Robotics, VLSI, NSL, NS3, OMNet++, OPNet, QUALNET, PeerSim

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  For Computer Science Students we support NS2, NS3, MATLAB, Java, OMNeT++, OPNet, CloudSim, Qualnet, Weka, Wordnet, Dot Net, Hadoop,….

MTech Projects In PEERSIM is an open source simulator to implement peer to peer systems. It ensure scalable environment which support dynamic schemes such as churn and failure models. We develop Peersim project for research scholars to provide efficient communication environment among peer to peer systems. We implement simulation codes in java. Simulation is defined as the application user can write simulation, collection of results and analyze overall process. We offer M.Tech projects in Peersim which support various domain such as network security, data mining, network simulation, networking are developed in network and network simulation projects are qualified in simulation tool. We implement M.Tech final year projects in Peersim cover all core of electrical, computer science and wireless communication.

MTECH PROJECTS IN PEERSIM

P2P architecture:

We provide P2P architecture as:

Centralized P2P:

It represented by server and coordinate with global information about all nodes.

Semi centralized P2P:

 It contains multiple servers fixed at center to distribute load & ensure reliability.

Decentralized P2P:

All nodes are independent & do not single out one or more central server.

Semantic class based P2P in Peersim:

We categorize P2P types as:

Structure P2P:

 It contain information about other nodes according to well define needs.

Unstructured P2P:

 It randomly looks data on network gnutella.

Benefits of Peersim:

 We implement these benefits in Peersim from Elsevier papers are:

• Scalability.
• High reliability.
• Allow number of independent nodes on normal desktop pc with 1 to 2 GB RAM.
• Global information network.

PEERSIM NETWORK ALGORITHMS

MTech Projects In PEERSIM

Requirements of Peersim environment:

 To implement Peersim, we require following terms:

• Online spherical k- means clustering (OSKM).
• Vector space model (VSM).
• Gnutella efficient search (GES).
• Class based semantic search (CSS).

Function of Peersim:

We developed more than 90+ projects in Peersim by our developed team. We listed out some function of Peersim are:

• Heterogeneous objects.
• Clustering.
• Unstructured P2P.
• Churn.

Tools for P2P simulation:

We established some tools for P2P simulation are:

Modes:  It composed of

Cycle based:

All iteration is processed in this cycle and engine check state of all nodes in every iteration.

Event based:

It more complex time management with communication support & rely message.

Structure:

• Network.
• Initilalizer.
• Controls.

Configuration:

 It provides ASCII text file with content pair of option and values.

Characteristics of Peersim:

 We adopt the listed characteristics in Peersim are:

• Scalability.
• Easy configuration.
• Modularity.
• Cross platform.
• Heterogeneous cluster based newscast protocol.

Advantages of Peersim:

 We listed the advantages of Peersim are:

• Complexity parsing of retrieved data.
• Lack of graphical user interface

NETWORK ROUTING ALGORITHMS

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