基于隐马尔科夫模型的超声波体域网差错控制策略

he potential of the body area network is huge, but the radio signal used as the transmission medium is not suitable for BANs as its potential radiation effects can harm the health of the human body. Ultrasonic is a kind of wireless signal transmission method, which can be used in wireless body area network. Due to the propagation characteristics of ultrasonic, energy consumption, and the complex channel conditions caused by the human body movement in the body region network, the instability of the network is caused by the ultrasonic wave. In this paper, we present an adaptive error control strategy based on Hidden Markov Model in UBANs and the strategy is used to predict the rate of error according to BER and then dynamic select the ARQ and HARQ in order to improve the reliability. The feasibility and practicability of this method are proved by experiments. The results show that the proposed method is better than the traditional strategy through the comparison of the transmission success rate and energy consumption.