無(wú)線傳感器網(wǎng)絡(luò)在森林火險(xiǎn)監(jiān)測(cè)中的生命期研究
[Abstract]:Forest fire is a serious threat to forest health. Forest fire risk monitoring is an important method to protect forest from fire. This paper analyzes the status quo of forest fire risk monitoring and the main technologies used at present. Among these technologies, the monitoring technology based on wireless sensor network (WSN) is very novel. At the same time, WSN and its characteristics are analyzed. The characteristics of WSN make it very suitable for forest fire risk monitoring field. Therefore, a fire risk monitoring system based on WSN is put forward. The single WSN is not enough to successfully complete the monitoring task, and it lacks the ability of spatial data analysis and processing. Therefore, the GIS system is introduced to make up for its deficiency and enhance the correctness and efficiency of the monitoring system. The node adjacent to the base station needs to forward the data for other nodes, and its energy consumption is large, which leads to the uneven energy consumption of the nodes in the WSN. In order to solve this problem, a multi-mobile base station algorithm for balancing energy consumption is proposed in this paper. In view of the special situation of forest, this algorithm solves the problem of uneven energy consumption of nodes near the base station by dividing the balance sub-loop and controlling the periodic stay of the base station. In this paper, the approximation, efficiency, time and space complexity of the algorithm are analyzed theoretically, and the results show that the algorithm is correct and feasible. Finally, the simulation results show that the algorithm is better than the SDMA and DAWN algorithms. The wireless sensor network based on multi-mobile base station has a relatively long service life in forest fire risk monitoring, which can ensure the system to monitor forest for a long time and protect forest health.
【學(xué)位授予單位】:合肥工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:S762;TP212.9;TN929.5
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