A Data Visualization Method with Adjustable Resolution in Wireless Sensor Networks

Abstract

The invention discloses a resolution adjustable data visualizing method in the wireless sensor network, mainly solves the problems that a method in the prior art cannot effectively present data distribution or satisfy user requirements for different precisions, and belongs to the field of the wireless sensor network. The method comprises the steps that 1) the sensor network is arranged, and partition is carried out according to resolution provided by a user; 2) nodes are fused to generate a new network topology; 3) the sensor nodes in the new network topology are clusters; 4) logic addresses of the clustered sensors are converted so that the sensors are mapped into different network partitions; and 5) data in the network partitions in which the logic addresses are converted is converted to an image satisfying the given resolution. According to user requirements, data collected by the sensor nodes is converted into data distribution images of adjustable resolution, user requirements for different precisions can be met, and the data distribution and difference in the network can be visually reflected.

Description

technical field [0001] The invention relates to a data visualization method with adjustable resolution in a wireless sensor network, belonging to the field of wireless sensor networks. technical background [0002] Wireless Sensor Network (WSN, Wireless Sensor Network) is a self-assembled network composed of a large number of cheap micro-sensors deployed in the detection area through wireless communication. high and low complexity. The wireless sensor network involves key technologies such as wireless communication, sensors, embedded operating systems, and information security. It senses, collects, processes, and transmits the information of the sensing objects in the geographical area covered by the network in a cooperative manner, and finally sends the information to the network. the owner of . Wireless sensor networks use different types of sensors to detect information including earthquakes, electromagnetics, temperature, humidity, noise, light intensity, and pressure....

AI Technical Summary

Problems solved by technology

The visualization functions of these existing visualization platforms mainly include network topology visualization, node energy visualization, routing information visualization, collected data visualization, and historical information visualization. The relationship with time or other variables is drawn as a curve to show the user. Although the node to display the data can be selected in the interactive interface, it cannot intuitively show the distribution of the data, and it is even more inconvenient in a network with a large number of sensors. observation analysis

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