Research On Model Analysis And Implementation Of WSN Polling Control System Based On Limited Service

The Internet of Things(IoT)is an update and upgrade of information technology,it is widely used in various life fields and is the top priority in the information field of the upcoming fourth industrial revolution.Wireless Sensor Networks(WSN)is rapidly evolving rapidly,especially in various monitoring and tracking applications.Wireless Sensor Networks use node-aware technology to obtain external information,which is of great value in the IoT perception layer.Wireless Sensor Networks can collect,monitor,and manage a range of environmental parameters in specific areas,such as soil composition analysis parameters required for robust growth of vegetation and changes in ambient climate temperature and humidity.In WSN,the number of sensor nodes is large and dense,which requires these large number of sensor nodes to cooperate with each other and also has a large amount of data sensing,acquisition and computational analysis.Since WSN has no infrastructure construction,each node has its own energy,and generally improves the efficiency of network resources by optimizing the clustering algorithm,therefore,in order to meet the needs of modern network services,the medium access control of the computer network layer(Medium Access Control,The MAC)protocol sets higher requirements.Since the service strategy of the polling system can greatly reduce the network energy loss caused by the conflict of information data brought by the random multiple access protocol,and can reasonably allocate the computer network resources to reduce the waste of resources,with the rapid development of the Wireless Sensor Network,the application of the query service strategy in the MAC protocol has become increasingly prominent.In view of the advantages and disadvantages of the Wireless Sensor Network MAC protocol in recent years,this paper makes a detailed analysis and research.Based on the three general basic polling service models,the polling system model is optimized and improved.A polling system model based on the limited-(K=2)service rule to distinguish the busy state of the queue and the full service mode as the center queue scheduling control rule and the asymmetrically limited-(K=1)service mode as the scheduling control of the normal queue are proposed.The rule two-level asymmetric polling system control model,and the model construction and performance analysis.The simulation results and the theoretical results agree well with high error,which reflects the effective and reasonable construction and analysis of the model.Then,the Tiny OS operating system is selected as the software platform,and the cc2538cb sensor node is selected as the hardware implementation platform,the clustering algorithm is used to realize the system model that separates the queue busy state and the two-level queue to transmit the different priority services,the polling control mechanism of the symmetric system model.Finally,based on the Tiny OS operating system,the polling control mechanism is applied in practice,and the collection of characteristic parameter data in a specific regional environment is realized to monitor the environment.