Research On Timeliness Of Industrial Wireless Sensor Networks Based On Two Level Round-Robin And Data Aggregation

Intelligent manufacturing empowered by artificial intelligence and information and communication technology will become the main contributor to the development of the digital economy in the coming decades.In order to monitor and control the real-time industrial production process,the timeliness of data transmission in industrial wireless sensor networks is required more strictly.In order to measure the timeliness of information transmission systems in industrial sensor networks more comprehensively and effectively,the concept of Age of Information(Ao I)came into being.Industrial sensor networks have the characteristics of large number of nodes and wide distribution,which leads to strong correlation between sensor nodes.In addition,the amount of data transmitted in a single transmission in real-time industrial sensor networks is small,and the use of short packet communication technology can improve the timeliness of the system.Therefore,it is of great significance to study the information age of the information transmission system in wireless sensor networks.In this paper,sensor nodes are clustered according to spatial correlation,and an industrial sensor network model based on two level round-robin and data aggregation is obtained.The sensors in each cluster to send information updates to the aggregator through round-robin scheduling strategy,and the aggregator aggregates the data through a round-robin scheduling strategy and then uses short packet communication technology to transmit to the monitor through an unreliable channel.When an error occurs in data packet transmission,three coping strategies are considered: no retransmission,retransmission without resampling,and retransmission with resampling.Stochastic Hybrid Systems(SHS)is used to solve the corresponding system average age of information expression,and simulation is carried out to analyze the influence of data packet length,channel conditions and retransmission strategy on the system’s age of information performance.The results show that there is an optimal data packet length to minimize the information age performance of the system,and the optimal packet length is affected by channel conditions.The two level round-robin information update system proposed in this paper has better information age performance than the single level round-robin information update system.With the increase of the number of sensors,the performance superiority of the two level round-robin information update system becomes more prominent.When the channel conditions are poor,the retransmission strategy can effectively improve the information age performance of the system,and the information age performance of retransmission with resampling strategy is slightly better than that of retransmission without resampling strategy.Aiming at the clustering problem of sensor nodes,in order to measure the correlation between sensor nodes more effectively,this paper proposes a calculation formula for spatial correlation through joint consideration of the data correlation and spatial location of sensor nodes.On this basis,a clustering algorithm based on spatial correlation is proposed,which solves the problem of the large number of independent nodes and clusters in the existing clustering algorithm.The performance of the proposed clustering algorithm is simulated and analyzed through the Intel Berkeley Research Laboratory(IBRL)data set.The simulation results show that the performance of the clustering algorithm in this paper is better than the comparison algorithm in network clustering,and it can effectively improve the information age performance of the two level round-robin system.