Research And Application Of Wireless Sensor Network Location Technology In Forest Area Fire Risk Monitoring

Wireless Sensor Network(WSN)is a self-organizing system formed by self-organizing a large number of micro nodes.The scarcity of forest resources and the suddenness and destruction of forest fires have made it extremely important to monitor and prevent the occurrence of forest fires quickly and efficiently.Using the advanced technology of WSN to collect real-time parameters related to the environment of the forest area,the 24-hour monitoring of the fire in the forest area and the precise positioning of the fire source are realized,which provides a powerful guarantee for the intelligent monitoring of forest fires.The main content of this article is as follows:First of all,this paper elaborates the background and far-reaching significance of using WSN technology to monitor forest fire danger,and introduces the characteristics of WSN and the classification process of node self-localization algorithm,algorithm implementation mechanism,performance self-evaluation system and classical positioning algorithm.Secondly,a deep analysis of the positioning algorithm in the WSN,aiming at the drawbacks of legacy DV-Hop positioning algorithms,a DV-Hop positioning algorithm based on step-size acceleration optimization is proposed.When the unknown node selects a beacon node,the core beacon node carrying the local area marker is used instead of a single anchor node,so that the estimated distance between the unknown node and the beacon node is more in line with the actual situation of the WSN regional network;the optimized node is selected.After the method,the triangulation method is used to roughly obtain the coordinates of the unknown node,and then the step-length acceleration scheme is used to iteratively continue to accurately position coordinates,thereby achieving the effect of reducing the positioning error.Through simulation comparing the performance of other algorithms and this algorithm under different environmental parameters,this algorithm is better than other algorithms,and the overall positioning accuracy of thenetwork is significantly improved.Finally,this paper combines the optimized DV-Hop positioning algorithm with forest fire risk monitoring environment to design a forest fire risk monitoring system using WSN positioning technology,effectively improving the efficiency of fire monitoring.According to the special function of the system and the application requirements,the system's node hardware design and software architecture design are elaborated in detail.The CC2530 chip is equipped with various sensors on the hardware to complete the forest area data collection.The node's self-positioning is realized by burning the code of the positioning algorithm into the non-volatile memory in the chip,thereby realizing the positioning of the fire in the forest area.The main functions of the system are tested reasonably.The excellent performance demonstrated in all aspects can meet the requirements for monitoring forest fires.