MANET NS3 PROJECTS

NS3 is an important network simulator used to evaluate various network applications based scenario in wired and wireless network. We offer M.Tech network simulation 3 projects are developed for M.Tech students with ECE and CSE domain. We develop Manet based various application for M.Tech students. We implement various network application based on Elsevier paper with NS3 simulation. We develop fuzzy logic based application with MANET network structure and NS3 simulation model. We apply fuzzy logic method in wireless sensor network and mesh network.

MANET NS3 PROJECTS:

We implement various nodes for academic projects are

Cluster head:

It defined as local coordinator for cluster. It keeps regular contact with member nodes & gateway nodes of neighboring cluster. We perform inter cluster routing, data forwarding for mobile node communication.

Gateway node:

It is a node acts as a communication medium among various clusters. It provides access to neighboring cluster & permit packet transmission hardware clusters.

Cluster member:

It used to communicate with cluster head by cluster. By creating communication cluster members are updated by routing tale information based on cluster head.

Fuzzy logic in network:

We use fuzzy system to get approximate functions it is used to model any continuous function. Results always based on some unknown non linear function which create changes with respect to time. To ensure proper decision in any network model we use fuzzy logic approach. The basic units of fuzzy functions are:

  • Fuzzy inputs.
  • Fuzzifier.
  • Fuzzy inference system.
  • De Fuzzifier.
  • Rule base.

Fuzzy input:

In this process, we obtain input for particular application & determine degree to each appropriate fuzzy set via membership functions.

Fuzzy operator:

We use this process to identify degrees to which part of antecedent which satisfy each rule in fuzzy system. Fuzzy operator is used to get one number which represents result for corresponding rule. To ensure output in fuzzy logic system, we use either AND or OR operations.

Implication method:

Before applying implication method proper weights are assigned for each rule and implication process takes input as single number and output is fuzzy set.

Defuzzifier:

We apply fuzzy set is applied into input for defuzzification process. The output of defuzzification process is single number. We evolve aggregation process give range of output values to resolve function and produce single output value from set defuzzification.

We developed more than 80+ projects in NS3 simulation with various network communications by our team.

Current Work progress

NS3 Projects for MS Students

NS3 Projects for B.E,B.Tech students

NS3 Projects for M.E,M.Tech Students

NS3 Projects for PhD Scholars

We assist PhD Scholars in Publishing Papers in Reputed journals for NS3 Simulator Projects.

NS3 SIMULATOR
NS3 SIMULATOR
NS3 SIMULATOR
NS3 SIMULATOR
NS3 SIMULATOR
NS3 SIMULATOR
NS3 SIMULATOR
NS3 SIMULATOR
NS3 SIMULATOR
NS3 SIMULATOR
NS3 SIMULATOR
NS3 SIMULATOR