机载PHM中的无线传感器网络功率控制算法

WSNs power control algorithm in airborne PHM

由于机载环境的复杂性,机载故障预测与健康管理(PHM)系统采用无线传感器网络(WSNs)技术进行数据采集。鉴于机载PHM对消息传输高实时性的要求,需要通过功率控制来优化网络拓扑,减少网络平均长度。提出一种基于小世界理论的功率控制算法(PCS),该算法通过添加捷径来降低网络平均路径长度,并采用遗传算法对捷径进行优化,得到通信代价较小、网络平均路径长度较短的捷径。仿真结果表明:PCS算法优化了网络拓扑,缩短了网络平均路径长度,提高了信息传输速率,并且在较大的传感器网络环境下也具有较好的适用性。

Because of complexity of airborne environment, wireless sensor networks （WSNs） technology is used to collect data by aircraft prognostics and health management（PHM） system. The requirements of high real-time on information transmission for aircraft PHM, should shorten the network average path length by power control to optimize network topology. A power control algorithm based on small world theory （PCS） is proposed, the algorithm shortens network average path length by the means of adding short-cuts, and it uses genetic algorithm to optimize the shortcuts, so optimization network which has less communication cost and shorter network average path length can be obtained. The simulation results show that the PCS algorithm optimizes network topology, shortens network average path length and improves information transmission rate.