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- 2018
基于Ornstein-Uhlenbeck模型的WSN链路质量估计
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Abstract:
无线传感器网络节点一般具有低成本、低功耗、低速率、能量有限等特点。使用廉价的低功率射频模块进行传感器之间通信，对无线信道的变化非常敏感。为了避免低信号质量数据链路上可能的重传导致的资源浪费，通常路由协议以及冗余编码机制等方法均需要不断地评估网络的链路质量。对于无线传感器网络来说，无论是自适应冗余编码还是路由协议均需要对包成功接收率（PSR）进行定量且准确地评估。针对这一问题，提出一种基于物理参数接收信号强度指示（RSSI）的方法来估计分组成功率。该方法首先根据大量实际测试，得到RSSI与PSR之间的关系，再根据实时接收到的RSSI值，利用Ornstein-Uhlenbeck （OU）模型以及Logistic曲线模型对下一时刻的PSR进行估计。仿真与实验表明，该方法相对于现有的方法具有更高的准确性与快速性。
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