Research On Wireless Sensor Network Transmission Scheduling Technology And Application Of Coal Mine Scene

Wireless Sensor Network is a network form that freely organizes and combines tens of thousands of sensor nodes through wireless communication technology.Wireless sensor networks can not only solve the problems of poor mobility and easy damage of traditional wired networks,but also can transmit and dispatch sensor information timely and effectively.Therefore,wireless sensor networks have been deployed and used in more and more industrial scenarios,such as production scenarios in coal mines.There are many types and huge amounts of sensor information in coal mines.At present,most of the sensor information in underground mines is still transmitted through the wired network.The wired network can better guarantee the quality of service,but cannot meet the dynamic needs of coal mining space.In addition,the network is easily damaged,and the quality of the network service after the damage is also reduced.If the wireless sensor network is applied to the production scenario of a coal mine,if the quality of service of the network can be guaranteed,its characteristics of high mobility and flexible topology will match the needs of the production scenario of the coal mine well.The quality of service of wireless sensor networks is greatly affected by the network transmission scheduling process.At present,there are still many shortcomings in the processing of the transmission scheduling process,such as the processing of service objects,the determination of service priorities,and the selection of scheduling methods.Aiming at the above problems in the transmission scheduling process,this paper takes information groups to be processed in the network as research objects while using related algorithms to optimize,so that the channels,nodes and time-steps in the network can have a reasonable and effective scheduling when information transmitting.The quality of service and integrated performance of network is promoted and the solutions are applied to the network transmission scheduling process in underground coal mine scenarios.The main research contents of this paper are as follows:(1)The Particle Swarm Optimization algorithm and the Genetic Algorithm are improved and combined,and the Guaranteed Genetic Scheduling algorithm is proposed.Before the information enters the channel,the information population is initialized by introducing PSO,which arranges the information population in order waiting for transmission.During the information transmission process,genetic algorithms are used to provide real-time protection for the dynamically changing population to reduce network congestion and packet loss.When the transmission process is completed,the population is updated again using the improved PSO to obtain the final optimal output population sequence.By adding the genetic algorithm,the complete transmission process of the information population is guaranteed,the channel's scheduling of the information population is optimized,and the performance of network transmission is improved.(2)The Dynamic Vertex Coloring algorithm is improved and combined with the Differential Evolution algorithm to propose a Time-step Scheduling Based on Nodedynamic-coloring algorithm.During the transmission process of information populations,the priorities are divided according to the importance of the information.Nodes with different priorities are marked by vertex coloring,while time-steps are reserved for different priority population.The improvement and optimization of network performance is achieved through the dynamic scheduling of nodes and timesteps.(3)The algorithm proposed in this thesis uses public data sets for comparative experiments,and for the application scene of underground coal mines,while using the underground coal mine sensor data for comparative experiments.The experiments not only select a variety of unimproved algorithms or classic algorithms to compare with the proposed algorithm in terms of end-to-end delay,packet loss rate,throughput,energy consumption and other QoS indicators,but also optimizes the WSN and performance comparison of existing wired networks.The experimental results show that the algorithm proposed in this paper effectively optimizes the WSN transmission and scheduling process,improves network QoS,and ensures the reliability of network transmission and the effectiveness of scheduling.The thesis has 36 figures,8 tables,and 65 references.