Role of KDD in quality of experience driven detection in wireless network

Abstract

Wireless Network is operator based, QoE Design focus on improving the use of networks and provides and propose a variety of network resource simulation strategies based on the data collected during the surveillance and measuring procedure to maximize QoE. The analysis suggests how the corrupt and inefficient eNodeBs serve can be effectively uncovered using algorithms in a heterogeneous network created with an NS-3 simulation model to forecast user QoE. In future high-density and environmentally friendly wireless services which should be self-organizational and personality, this framework can play a key role.The configuration parameters for the Simulation Analysis included User Numbers, eNodeB Number, eNodeB Broadband, Convey useable eNB power, transmit disorganized eNB power and software tool. NetAnim Set up, node priority - node id, node position (Node X and Y), Node color - Red, Green, Blue, Alpha, Node size, node resolution, IPv4 Address, Mac Addresses. Access point between that firewall and connected with database, server1, server2, etc., Node 3 - mobility model (ns3)L constant position mobility model, network device- type ns3 loopback net device, IPv4 Address and MAC Address, Mobile Netdevice 1: tpe ns3, IPv4 address and MAC Address.