Water quality monitoring network positioning method based on RSSI distance measurement

Abstract

The invention relates to a water quality monitoring network positioning method based on RSSI distance measurement. The method comprises the following steps: establishing RF communication modeling; obtaining path loss PL (d0) after the wireless signal passes through the reference distance d0; periodically measuring received signal strength RSSI between a node to be positioned and a neighbor reference node thereof, and then calculating a path loss index n in a current monitoring area by using an RF wireless signal propagation model; according to the known reference node coordinates, comparing the measured distance between the reference nodes with the actual distance to obtain the relative ranging error of the RSSI; establishing a distance equation of the monitoring nodes, carrying out Taylor series expansion, adopting a weighted least squares (WLS) algorithm for processing, and updating parameter vectors. The method can effectively reduce distance measurement errors, can enable the positioning method based on RSSI distance measurement to be suitable for water quality monitoring systems in various different environments, and can meet the positioning requirements of water quality online monitoring systems with complex and severe network environments and limited positioning cost.

Description

technical field [0001] The invention belongs to the technical field of water quality monitoring, and in particular relates to a water quality monitoring network positioning method based on RSSI ranging. Background technique [0002] Wireless sensor networks (wireless sensor networks, WSN) can be self-organized and rapidly deployed, through its internal numerous sensor nodes to cooperatively perceive and collect environmental monitoring information, and take advantage of its distributed processing and multi-hop transmission to send the data processing results to the terminal device. The characteristics of strong fault tolerance and long working life of wireless sensor network make it have broad application prospects in the field of environmental water quality monitoring of lakes and rivers. The online water quality monitoring system integrating data collection, data transmission, predictive analysis and information display can enable the wireless sensor network to obtain dat...

AI Technical Summary

Problems solved by technology

However, RF signal propagation modeling is affected by environmental factors, and appropriate measures need to be taken to reduce ranging errors

However, in the existing positioning methods, the ranging error cannot be effectively reduced, so that the positioning method based on RSSI ranging cannot be applied to water quality monitoring systems in various environments, and it cannot meet the complex and harsh network environment and the positioning cost. The positioning requirements of the limited water quality online monitoring system

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