| Summary: | 碩士 === 國立交通大學 === 電子工程系所 === 97 === Wireless body area network (WBAN) has been paid attention in health-care and medical application field in recent years. Many of the channel models have been proposed for this potential wireless network system. However, most of them are built in physical layer, and they seldom analyze the body channel in dynamic scenario.
In this thesis, we propose a MAC channel model for dynamic WBAN. We perform the dynamic measurement of two vital behaviors, walking and sleeping. Apart from considering the conventional statistics of received power amplitude, the model also investigates the time-domain correlation of those two activities to enhance the modeling accuracy in MAC. We propose the two-state model and three-level model to characterize the two behaviors, respectively. With the consideration of time-domain correlation in modeling, the proposed models can achieve high accuracy with the measured data in MAC point of view.
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