无线传感器网络自适应链路层FEC控制策略*

提出一种适用于无线传感器网络的自适应链路层FEC控制策略。该策略基于Kalman滤波器预测当前的网络状态，在数据链路层采用FEC控制机制，根据FEC能耗分析的自身特性自适应地调整FEC参数n，以便改善无线传感器网络的通信性能，并建立单跳无线传感器网络模型和能量模型。数学分析和仿真验证表明，该策略能够有效地提高无线传感器网络数据传输的可靠性，降低无线传感器网络的能量消耗。

Kalman filter-based adaptive link-layer FEC mechanism for wireless sensor networks

This paper proposed an adaptive link-level forward error correction (FEC) algorithm for wireless sensor networks. The algorithm which used forward error correction mechanism at the data link layer, predicted the link layer frame loss rate using the Kalman filter, and adjusted the FEC parameter n according to the characteristics of energy efficient analyses of FEC mechanism, in order to improve the performance of wireless sensor networks communication. Made the single jump cluster network model and its energy consumption model. Both the mathematical analysis and simulation demonstrates that the proposed mechanism can significantly improve quality of wireless sensor networks communication, reliability and efficiently use the energy of sensors.