Modeling Wireless Sensor Networks on FPGA Platform: A Stochastic Network Calculus Approach

Abstract

Weibull fading channel has a wide range of applications in wireless fading channels as we know today. In this paper, an FPGA-based wireless channel emulator is presented. We investigate the quality of service (QoS) performance of wireless channels subject to weibull fading channel on an FPGA platform based on stochastic network calculus. In order to analyze the performance, we aim at deriving the service curve of weibull fading channel. With the closed-form stochastic service curve, the QoS performance like stochastic delay and backlog bound can be derived. Simulation results verify that the delay and backlog are inversely proportional to their bounds. Moreover, through numerical experiments, we show the method is not only capable of deriving stochastic performance bounds, but also can provide guidelines for designing transmission strategies on FPGA platform.