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作 者:屈晓[1] 郑艳松[1] QU Xiao;ZHENG Yansong(Zhujiang College,South China Agricultural University,Guangzhou Guangdong 510900,China)
出 处:《传感技术学报》2024年第7期1271-1276,共6页Chinese Journal of Sensors and Actuators
基 金:2021年广东省高等教育教学研究和改革项目(粤教高函[2021]29号)。
摘 要:分布式无线传感网中节点数据量增大,会导致节点能耗不均匀,数据传输过程出现低延迟现象,影响数据传输效率。为解决这一问题,提出分布式无线传感网中低延迟数据调度算法研究。基于分布式无线传感网络结构分析了低延迟数据调度延迟的主要因素,依据分析结果采用MDAS-ST算法,建立低延迟初始信息数据,对低延迟数据节点构建父节点候选集,建立低延迟数据候选调度模型,以低延迟数据父节点候选集为主,从中选取一个父节点,并分别分配到分布式无线传感网络时隙内;建立低延迟数据调度序列,利用该序列实现低延迟数据的调度研究。仿真结果表明,该方法的平均发送次数约为1.2次、调度延迟为322μs、网络吞吐率为99%,能耗为500 nJ/bit。The increase of data volume of nodes in distributed wireless sensor networks can lead to uneven energy consumption of nodes and latency in data transmission process,which affects the data transmission efficiency.To solve this problem,the study of low latency data scheduling algorithm in distributed wireless sensor networks is proposed.The main factors of low latency data scheduling delay are analyzed based on the structure of distributed wireless sensing network,and according to the analysis results,MDAS-ST algorithm is used to establish low latency initial information data.A parent node candidate set for low latency data nodes is constructed,a low latency data candidate scheduling model is established,and a parent node from the low latency data parent node candidate set is selected and assigned to the distributed wireless sensing.The low latency data scheduling sequence is established,and the sequence is used to realize the scheduling study of low latency data.The simulation results show that the average number of transmissions is about 1.2,the scheduling delay is 322μs,the network throughput rate is 99%,and the energy consumption is 500 nJ/bit.
关 键 词:分布式无线传感网络 低延迟数据调度 MDAS-ST算法 网络时隙
分 类 号:TP274[自动化与计算机技术—检测技术与自动化装置]
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