基于随机网络演算的无线传感器网络延时研究

Study on delay bound based on stochastic network calculus in wireless sensor networks

基于随机网络演算研究了无线传感器网络中延时相关问题,通过随机网络演算建立随机到达曲线和随机服务曲线模型,推导出单个节点和端到端的延时统计界。与节点到节点计算方法的延时界相比,演算方法更为简单。另外,随机延时界比确定性延时界具有更好的包络性,给出了违背界的函数。数值结果表明,运用SNC的卷积公式求得的概率统计型延时边界的结论具有更严格包络性,对无线传感器网络配置和QoS控制具有较强参考意义。

The end-to-end delay bound in wireless sensor networks is dicussed in detail. Based on stochastic network calculus, stochastic arrive curve and stochastic service curve models are constructed, which can be applied to analyze the service perfor- mance of wireless sensor networks, and then the end-to-end delay bound is derived. Compared to the node-by-node bound, prove that the calculation of the stochastic bound is simpler. In addition, stochastic delay bound is tighter than the deterministic bound. The numerical results indicate that the end-to-end delay bound will change rapidly under different parameters. The results play an important role for deployment and QoS control in wireless sensor networks.