Collaboration node positioning method based on wireless sensor network

Abstract

The invention relates to a collaboration node positioning method based on a wireless sensor network. The collaboration node positioning method based on the wireless sensor network comprises the following steps: 1) establishing a Gaussian mixture model for RSS (Received Signal Strength) values of each link circuit; 2) separating background RRS values from the RRS values through a background learning method; and 3) converting the background RRS values into distance information among nodes according to a path loss model, and using Bayesian estimation method to calculate and then obtain the coordinates of unknown nodes. The collaboration node positioning method provided by the invention has reasonable design; the interference of obstacles on the signal reception strength is effectively reduced by separating the measured RSS values from the background RSS values through establishing the Gaussian mixture model for RSS values of link circuits and background learning method according to the change characteristics of the RSS in the case of movable obstacles and then using Bayesian estimation method (LS) to achieve a collaboration positioning function, so that the higher node positioning accuracy is acquired.

Description

technical field [0001] The invention belongs to the field of wireless sensor networks, in particular to a wireless sensor network-based cooperative node positioning method. Background technique [0002] Node localization technology is a key technology in wireless sensor networks. In recent years, many researchers have done in-depth research on node localization technology. The precise positioning capability of the nodes has led to many new applications, such as medical monitoring, animal tracking and emergency services. In many cases, in order to make the information between nodes useful, the node location is essential. For example, if we deploy a wireless sensor network to monitor the equipment in the storage room, it is necessary to dynamically update the node location to monitor the equipment. specific location. In many situations, especially emergency situations, sensor networks need to be deployed quickly and randomly, so there is not enough time to measure the positi...

AI Technical Summary

Problems solved by technology

The existing RSS-based node cooperative positioning methods usually directly convert the received RSS value into distance information, without considering the attenuation of RSS by objects in the environment, or only considering the impact of static obstacles on node positioning. When there are random moving obstacles in the environment, RSS will produce large fluctuations, thus seriously affecting the node positioning accuracy

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