Design of High Performance Wi-fi Lan Using Bulk-service Rule

This paper focuses on how the petri net models can be exploited by markov algorithm with adaboost algorithm for performance evaluation of Wi-fi local area network. We study a real world application and demonstrate the benefits in terms of modeling power and expressiveness that Wi-fi technology, EQPN model and Markov algorithm with Adaboosting algorithm provide over conventional modeling paradigms such as queueing networks and petri nets. The EQPN model and Markov algorithm with Adaboost algorithm is employed to represent the performance behaviors and to minimize energy consumption of the system under performance constraints through mathematical programming formulations. EQPNs facilitate the integration of both hardware and software aspects of the system behavior in the improved model. This lends itself very well to modeling distributed component-based systems. Currently available tools and techniques for EQPN analysis suffer the state space explosion problem, imposing a limit on the size of the models that are tractable. In addition to Wi-fi technology in the systems and using EQPNs one can easily model simultaneous resource possession, synchronization, blocking and contentions for software resources. EQPNs are very powerful as a performance analysis and prediction tool. Improved solution methods, which enables larger models to be analyzed and they need to be developed. By demonstrating the power of EQPNs as a modeling paradigm in realistic scenarios, we hope to motivate further research in this area.