一种新的机载网络多信道统计预测策略

Weilun Liu, Hengyang Zhang, B. Zheng, Weiting Gao, Zhikang Qin
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引用次数: 0

摘要

在基于争用的机载网络MAC协议中,信道的忙度可以作为不同优先级业务的门限。通过限制低优先级流量的访问,既可以保证高优先级业务的QoS需求,又可以解决数据包盲目访问通道的过程会导致协议性能下降的问题,因此,本文提出了一种多通道统计预测策略。根据高优先级业务的高可靠性需求和不同类型业务的比例,建立了信道占用模型,得到了不同业务的信道负载间隔。然后利用统计预测模型预测信道的繁忙程度和下一时段的信道负荷。仿真结果表明,该策略对信道负载的预测率在95%以上,能够针对不同的优先级提供差异化服务,并能显著提高基于争用协议在高负载下的性能。
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A Novel Multi-channel Statistical Predicted Strategy for Airborne Networks
In the contention-based MAC protocols of airborne networks, the busy degree of channels can be used as the threshold of different priority services. By limiting access of low priority traffic, we can guarantee the QoS demands of high priority services and solve the problem that the process of packets accessed channels blindly will worsen the protocol performance, so, a multi-channel statistical prediction strategy is proposed in this paper. According to the high reliability demand of the highest priority traffic and the ratio of different types of services, we establish the channel occupancy model and get the channel load interval of different services. Then we use the statistical prediction model to predict the busy degree of channels and channel loads for the next time. Simulation results show that the strategy has a prediction rate of over 95% for channel loads, can provide differential service for different priorities, and it also can significantly improve the performance of contention-based protocol under heavy loads.
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