A Mobile Node Aggregation Sensing Method Based on Wireless Positioning

Abstract

The invention discloses a method for sensing aggregation of mobile nodes on the basis of wireless positioning. The method comprises the following steps: 1, initializing a wireless positioning system; 2, adopting a beacon node for measuring distances from the beacon node to all the mobile nodes within the scope sensed by the beacon node and sending the ranging information to a central node; 3, centrally calculating the position coordinates of all the mobile nodes in a target area by the central node; 4, meshing the target area by the central node; 5, searching for node aggregating clusters in each grid by the central node in a dense clustering mode; 6, merging the adjacent node aggregating clusters by the central node; and 7, outputting the regional information and corresponding node ID of all the mobile node aggregating clusters. According to the method provided by the invention, the computation complexity is low, the communication consumption is less, the searching for the node aggregating clusters is high in speed and high in accuracy, and the method is suitable for the automatic sensing for the aggregation state of the mobile nodes in any scene, so that the method has wide application prospect.

Description

technical field [0001] The invention relates to a mobile node aggregation sensing method based on wireless positioning, and belongs to the technical field of wireless communication node aggregation sensing. Background technique [0002] With the development of wireless communication, micro-electromechanical system, digital electronics and other technologies, the research and application of various mobile wireless networks show a trend of rapid growth. At present, the most widely used mobile phone networks (such as GSM, CDMA, WCDMA, CDMA2000, TD-SCDMA, TD-LTE, etc.), WLAN and various Ad hoc networks. In addition to providing the most basic wireless communication and network access functions, these networks also derive a variety of typical applications, such as wireless positioning, air payment, target tracking, smart home, environmental monitoring, traffic management, logistics deployment, industrial control, security Alert etc. [0003] As a new content of wireless network...

AI Technical Summary

Problems solved by technology

[0004] At present, the traditional methods of mobile node aggregation state perception mainly include manual statistics, mechanical statistics, electronic counting, radio frequency identification, etc., but these methods generally have problems such as limited application range, poor real-time performance, and high system construction costs, especially not applicable When the number of mobile nodes is large and the target area is open

In recent years, the group density recognition method based on image recognition has gradually emerged. In theory, this method can realize the statistics of group density all day and full coverage, but this method is greatly affected by environmental conditions (for example, the judgment effect at night is poor or even Misjudgment), and there are problems such as complex point selection and control, large investment in facilities, poor real-time performance, and high computational complexity. The prospect of engineering application of this method is still unclear

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