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基于非平稳时域模型的无线网络信道传输算法

         

摘要

To reduce the transmission collision probability when wireless sensor nodes contention channel and increase the transmission efficiency of the channel,the paper proposes a wireless channel transmission algorithm that based on non-stationary domain model.First,Markov model was used to describe the process of the node contention channel,and then aiming to the internal network systems for multi-channel interaction and the channel variability,an integrated transport model of non-stationary time domain was proposed.The idle channel was calculated using the proposing model and selected with a probability as the transmission channel,which can avoid the busy node causes interference to other transport tasks channel becauseof taking time to transmits data.And the channel model based on Quality of service analysis was used for optimization,and the channel transmission collision probability and packet successful transmission probability were analyzed to get the Quality of service evaluation formula channel,so that to select the best transmission channel to improve data transmission efficiency and energy efficiency of the network.Simulation results show that the algorithm average packet collision probability is only 16.7%,the average success data transfer rate of packet is 81.9%,both are superior to the control groups in the simulation algorithm.%为了减少无线传感器节点在争用信道时出现的传输冲突概率,提高信道的传输效率,提出一种基于非平稳时域模型的无线传感器网络信道传输算法.上述算法首先采用马尔可夫模型来描述节点争用信道的过程,接着针对网络系统内部多信道的互相作用及信道状态的多变性,提出非平稳时域的一体化传输模型.通过该模型计算出信道处于空闲状态并且被选择作为传输信道的概率,可以避免节点传输数据时占用繁忙信道而对其它传输任务带来干扰.并且采用了基于服务质量(Quality of service,QoS)分析的信道模型优化,针对信道传输冲突概率以及数据包成功传输概率进行分析,得到信道的QoS评价公式,从而选择最佳的传输信道来提高网络的数据传输效率及能量效率.仿真结果表明,上述算法的平均数据包碰撞概率仅为16.7%,平均数据包成功传送率为81.9%,在仿真中均优于对比组算法.

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