Providing Stochastic Delay Guarantee in Personal Area Sensor Networks

In recent years, many wearable devices and sensor devices emerge drastically, and more and more new applications show up. However, due to the increasing number of devices that one person may carry in a limited range, the network condition will be interfered because of their channel contentions, which is possible to seriously damage the QoS of the network. Consequently, how to utilize network resouce effi- ciently to provide a QoS that user satisfies is the most crucial issue that this thesis will investigate. In this thesis, we propose a network architecture with a personal router as the center of personal devices. The personal router offers Internet assess for personal devices over WiFi technology. In this way, the personal devices are able to connect the remote cloud via personal router. In our research, we focus on the QoS between personal router and personal devices. Provisioning of Quality of Service (QoS) in personal area sensor networks is challenging due to unique traffic flows of sensor applications and the fluctuation behavior of wireless capacity. In this thesis, we propose a novel approach to model stochastic properties of both wireless channels and sensor traffic processes. We employ a stochastic performance bound called the exponentially bounded fluctuation (EBF) to model the wireless channel. For sensor traffic processes, we employ the so called exponentially bounded burstiness (EBB) to characterize their stochastic arrivals. We then modify Yaron and Sidi’s method to predict the probability of satisfying the targeted delay guarantee. Our prediction is validated via measurements in a real IEEE 802.11ac network environment as well as observations via ns-3 simulations. We include the 802.11ac collision factor in the model and then implement two types of call admission controls to avoid traffic overload. In the final result, we demonstrate that the call admission control mechanisms and our model can be employed to effectively provide stochastic delay guarantees in typical personal area sensor networks.