RSSI area location method based on wireless sensor network

Abstract

The invention provides an RSSI area location method based on a wireless sensor network. The RSSI area location method based on the wireless sensor network includes the following steps that firstly, the network is initialized and a system area location graph, a topological constraint graph and an illegal path graph are built; secondly, an unknown node periodically broadcasts a message including the identity of the node and a timestamp; thirdly, after beacon nodes receive the message of the same unknown node, and the RSSI value is calculated out according to a formula and sent to a center node, wherein the sent message also includes the ID and a timestamp; fourthly, the center node carries out judgment through a time threshold value algorithm according to the timestamp; fifthly, the center node judges and corrects the area of the unknown node through a network topology restriction mechanism; sixthly, a location result of the unknown nodes is output. According to the RSSI area location method based on the wireless sensor network, the location algorithm including three core mechanisms is designed, the three core mechanisms are well improved, and the overall algorithm has the good location effect.

Description

technical field [0001] The invention relates to the technical field of wireless sensor network positioning, in particular to a WSN-based RSSI area positioning method. Background technique [0002] In the wireless sensor network positioning technology, the positioning algorithm based on RSSI has been the focus of many researchers. For a specific WSN positioning scenario, the typical positioning algorithms and systems, RSSI-based regional positioning algorithms are studied, and analyzed and evaluated through experiments. [0003] The research on WSN positioning algorithm shows that there is no positioning algorithm suitable for all applications in WSN. Different types of applications have relatively different requirements for various evaluation indicators of positioning algorithms, and positioning algorithms that are separated from application scenarios are often meaningless. [0004] When positioning technology is involved, the characteristics of such application scenarios ...

AI Technical Summary

Problems solved by technology

[0007] 2. The application scale is small

[0020] 4. Node power consumption

However, for unknown nodes with strong mobility, continuous power supply is impossible and can only be powered by batteries with limited energy. Therefore, power consumption is an important issue that must be considered. If the power consumption of the positioning algorithm is too large, then May seriously affect the usefulness of the positioning system

[0022] 5. System cost

In a real environment, wireless signals are easily affected by ambient temperature, humidity, and obstacles, resulting in multipath propagation and non-line-of-sight phenomena, which lead to large fluctuations in the relationship between RSSI and distance, and can even cause ±50% measurement error. distance error [x,xi]

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