Wireless network nodes working in industrial environment or mounted on mobile machines are exposed to frequent and unpredictable temperature changes, which impact local clock accuracy resulting in synchronization problems (time offset). These issues have to be taken into account when optimizing the network to avoid higher energy consumption and traffic congestion. The time offset problem can be alleviated using temperature driven compensation. In the paper we propose an efficient algorithm to resolve this problem taking into account slow and rapid temperature fluctuations. It combines the physical model of the node oscillator with an original prediction method based on the linear regression. It can be embedded in low cost microcontrollers with limited resources. Our approach needed some experimental studies of oscillator features and microcontroller capabilities. The implemented prototype nodes and performed tests proved high clock resilience for industrial environment as compared with other approaches.

在工业环境中工作或安装在移动机器上的无线网络节点会遭受频繁且不可预测的温度变化，这会影响本地时钟精度，从而导致同步问题（时间偏移）。优化网络时必须考虑这些问题，以避免更高的能耗和交通拥堵。可以使用温度驱动补偿来缓解时间偏移问题。在本文中，我们提出了一种有效的算法来解决这一问题，同时考虑了缓慢和快速的温度波动。它结合了节点振荡器的物理模型和基于线性回归的原始预测方法。可以将其嵌入资源有限的低成本微控制器中。我们的方法需要对振荡器特性和微控制器功能进行一些实验研究。与其他方法相比，已实现的原型节点和进行的测试证明了工业环境下的高时钟弹性。