3D Visualization Of Wireless Cognitive Network Coverage Using High Performance Computing

Mohd Fauzi , Ab Rahman (2011) 3D Visualization Of Wireless Cognitive Network Coverage Using High Performance Computing. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

The design of wireless system for wide area coverage where it consists at least 3 main points for router placement still remains the open problems for researchers to come out with good solution in terms of performance. Prediction of signal propagation from various sources of wireless router is very essential in order to main good quality of signal strenght. Consider there is wireless network install in a very big building where most people will be using wireless signal to surfing to the internet. Most of the users seems does not aware that the system that they are using is sometimes quite slow compare to its true performance of wireless networking. If the management of the building does not carefully planning the allocation of those visitors or users that are currently using their internet access, most router that far from user will be abandon due to users mostly probably seat at the very convinence place to surf to the internet. This increase the problem of too many users accessing one router while other routers is not been use. The main goal of propagation modelling or graphical modeling of wireless networking based on real-time data from router is to determine the effectiveness and the best coverage that can be simulated in virtual environment using 3D graphics. It simply to enhance the system so the monitoring of wireless networking will be more tollerated toward the user requirements. Hence, this research intends to increase the capability of monitoring wireless networking system in closed-area where most data is coming from both non and real time data in order to simulate the environment and adjust the entire network when it requires using artificial intelligence technique. This technique is called as wireless networking visualization using 3D graphical views based on real-time data application. The primary focus of this research is to helps increase the quality signal strength of wireless networking system without additional cost of using too much router on the same place.

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