自适应容错算法在基站数据交互中的研究

Research on Real-time Adaptive Fault-tolerant Algorithm in Base Station Data Interaction

摘要:

针对某战术通信基站和移动端在进行数据业务交互时,受到如无线信道不稳定、内部执行器故障和信道堵塞等影响,从而造成传输时延较大和数据包丢失的问题,这就要求基站有较强的自适应容错能力,才能保证数据业务的高效完成。本文提出的实时自适应容错算法,首先采用轮询机制来动态分配与调度任务,减少了数据业务的分配计算时间,其次引入缓存队列暂时缓存传输数据,还具有多种安全数据传输路径,提高数据传输过程中的鲁棒性和容错能力,最后采用反馈状态机标记数据是否交互成功,保证任务的正常运行。实验结果证明,在交互等量的数据业务时,这种算法的引进能够将数据传输平均时延降低33%~42%左右,丢包率降低至0%~0.3%,确保基站数据业务交互的实时性、容错性和高效性。

Abstract:

When the tactical communication base station and the mobile terminal are interacting with data services, they are affected by the instability of the wireless channel, internal actuator failures, and channel congestion, resulting in large transmission delays and packet loss. Strong adaptive fault tolerance can ensure the efficient completion of data services.The real-time adaptive fault-tolerant algorithm proposed in this paper firstly uses the polling round mechanism to dynamically allocate and schedule tasks, reducing the calculation time of data service allocation, and secondly introduces a buffer queue to temporarily bufferdata, adopting a variety of secure data transmission paths to improve the data transmission process The robustness and fault-tolerant capability of the system, and finally the feedback state machine is used to mark whether the data interaction is successful, to ensure the normal operation of the task. The experimental results prove that the introduction of this algorithm can reduce the average delay of data transmission by about 33%~ 42%and the packet loss rate to 0%~0.3% when interacting with the same amount of data services, ensuring the real-time and real-time data service interaction of base stations. Fault tolerance and efficiency.