Research on Low Delay Data Scheduling Algorithm in Distributed Wireless Sensor Networks
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 schedu-ling delay is 322 μs,the network throughput rate is 99％,and the energy consumption is 500 nJ/bit.
distributed wireless sensor networklow-latency data schedulingMDAS-ST algorithmnetwork time slot
万方数据
维普
