自适应速率规划的无线传感器网络传输优化模型

摘要

To reduce the channel transmission conflicts of wireless sensor network, improve network throughput, a wireless sensor network transmission optimization model based on adaptive rate planning was proposed.An idle channel detection model based on CSMA/CA protocol was proposed, the state of the transmission channel of adjacent time slots was analyzed based on probability, and the busy probability of the channel was found, so packets initiatively avoided to reduce conflict.An adaptive rate planning method based on the channel state model was proposed, according to throughput requirements of transmission task, the best data rate was assigned to nodes.In the experimental part, QoS cognitive throughput based and burst data aggregation based random time domain model CSMA/CA wireless sensor networks were compared with the proposed method, results show that, the data packet collision rate of the algorithm is decreased by 4.3% and 7.1%, and the total network energy consumption is reduced by 15.4% and 21.6%.%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%.