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考虑节点密度较高的无线传感器网络,本文针对IEEE 802.15.4 MAC协议,引入了信道繁忙率参数,提出了一种基于信道繁忙率和数据帧碰撞率的窗口退避算法.该方法采用指数加权滑动平均方法对信道繁忙率和数据帧碰撞率进行统计和预测,并根据这两个信道反馈信息提出退避窗口更新策略.其中,结合网络空闲情况,采用线性方式减小退避窗口,可避免冲突,并使节点的数据帧传输概率在最优传输概率波动.NS-2仿真结果表明:在高密度重负荷的网络中,与标准IEEE 802.15.4 MAC协议算法及KEB算法相比,TLIFB算法可改善吞吐量、时延等网络性能。
Considering the wireless sensor networks with high node density, this paper introduces the parameters of the channel busy rate for the IEEE 802.15.4 MAC protocol and proposes a window backoff algorithm based on the channel busy rate and the data frame collision rate. The proposed method uses exponential weighted sliding The averaging method estimates and estimates the channel busy rate and the data frame collision rate, and proposes a back-off window updating strategy based on the two channel feedback information, in which the back-off window is reduced in a linear manner according to the network idleness, and the collision is avoided So that the data frame transmission probability of node fluctuates at the optimal transmission probability.NS-2 simulation results show that TLIFB algorithm can improve the throughput compared with the standard IEEE 802.15.4 MAC protocol and KEB algorithm in high-density and heavy-load networks Volume, delay and other network performance.