CRSN中基于随机网络演算的拥塞控制协议QoS边界分析

QoS boundary analysis of congestion control protocol based on stochastic network calculus in CRSN

为了保证认知无线电传感器网络(CRSN)的服务质量(QoS),需精确求解所采用协议的性能边界,为此提出了一种基于随机网络演算(SNC)的QoS性能边界分析方法。以CRSN中的和式增加积式减少(AIMD)拥塞控制机制为评估对象,以通信时延和数据积压为QoS性能指标。根据CR资源传感器的发送速率分布,利用基于矩量母函数(MGF)的随机网络演算推导出AIMD机制的时延和积压边界模型。实验结果表明,不同CRSN场景中的模型计算值都在理论边界范围之内,证明了该边界分析模型具有良好的性能。

In order to guarantee the quality of service（QoS） of the cognitive radio sensor network（CRSN）, the performance boundary of protocol used in CRSN is required to be accurately calculated. Therefore, a new QoS performance boundary analysis method based on stochastic network calculus（SNC） was proposed. The additive increase and multiplicative decrease（AIMD） congestion control mechanism in CRSN was used as evaluation object,and the communication delay and data backlog were used as QoS performance index. According to the sending rate distribution of the CR source sensor, the delay and backlog boundary were modeled based on stochastic network calculus with moment generating function. The experimental results show that calculated values of the model in different CRSN scenarios are within the theoretical bounds, which proves that the model has good performance.