Wireless sensor network node positioning method based on received signal strength indicator (RSSI)

Abstract

The invention relates to a wireless sensor network node positioning method based on a received signal strength indicator (RSSI). The precision of the traditional method is not high, and the traditional method is easily disturbed by environment. In the method, an effective RSSI value is selected by using a Gaussian distribution function model in the aspect of reading RSSI value, so that small probability events during RSSI measurement are removed to a certain extent, and the precision of RSSI value between nodes is improved; and the coordinates of an unknown node are obtained by a triangular positioning method, and the unknown node is circularly refined via the distribution probability model of the unknown node, so that a point with the maximum distribution probability is found and is used as the final positioning coordinate. In the method, the signal intensity and distance information between anchor nodes are introduced and are used as the reference; the unknown node coordinate is found out via the distribution probability model of the unknown node; the distance measurement precision and the positioning precision between the unknown node and the anchor node are improved; and the method is not easily disturbed by environment.

Description

technical field [0001] The invention belongs to the technical field of wireless sensor networks, in particular to a wireless sensor network node positioning method based on RSSI (Received Signal Strength Indication, received signal strength indication). Background technique [0002] In wireless sensor networks, location information is crucial to the monitoring activities of wireless sensor networks, and data without location information is meaningless. For example, many applications such as target monitoring and tracking, intelligent transportation, and logistics management require network nodes to know their own locations in advance, and use location information to complete application requirements during communication and collaboration. [0003] The miniaturization and limited battery power supply capacity of sensor nodes greatly restrict the choice of node hardware. Installing GPS modules for all network nodes is limited by issues such as cost, power consumption, and sca...

AI Technical Summary

Problems solved by technology

[0006] The accuracy of ranging and positioning based on RSSI is not high, and it is easily disturbed by the environment

For example, in the process of wireless signal propagation, uncertain factors such as multipath interference, diffraction, obstacles, and non-line-of-sight will affect the wireless signal strength indication, thereby affecting the ranging and positioning between nodes

Images