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为减少无线传感器网络信道传输冲突,提升网络吞吐量,提出一种基于自适应速率规划的无线传感器网络传输优化模型。提出基于CSMA/CA协议的空闲信道检测模型,对相邻时隙对的传输信道状态进行概率分析,求出信道繁忙概率,使数据包主动避让减少冲突;基于信道状态模型提出一种自适应速率规划方法,根据传输任务的吞吐量需求,为节点分配最佳的数据速率。与基于QoS认知吞吐量域以及基于突发数据汇聚的随机时间域模型的CSMA/CA无线传感器网络的实验对比结果表明,该算法的数据包碰撞率分别减少了4.3%和7.1%,网络总能耗减少了15.4%和21.6%。
In order to reduce the channel transmission conflict and improve the throughput of wireless sensor network, a wireless sensor network transmission optimization model based on adaptive rate planning is proposed. A free channel detection model based on CSMA / CA protocol is proposed. Probability analysis of the transmission channel status of adjacent time slot pairs is carried out to find out the probability of channel busy, and the data packets are actively avoided to reduce the collision. Based on the channel state model, an adaptive rate Planning methods to allocate the best data rate for a node based on the throughput requirements of the transport task. Experimental results on CSMA / CA wireless sensor networks based on QoS cognitive throughput and stochastic time domain based on burst data aggregation show that the collision rate of data packets of this algorithm is reduced by 4.3% and 7.1% respectively, Energy consumption decreased by 15.4% and 21.6%.