Abstract
An enhanced localization method based on witness nodes (WitEnLoc) is proposed, in which some sensing nodes are selected as witness nodes to confirm the existence of the target at the site given by the initial localization value and improve the accuracy of the existing localization system. WitEnLoc is primarily comprised of three stages: initial value calculation, target node searching, and search result correction. During the initial value calculation stage, the initial value is obtained using the existing localization system, and witness nodes are determined using the IoT (Internet of Things) control platform. In the target node searching stage, inward and/or outward searches are conducted in order to reduce the scope of each target node. During the search result correction stage, the search results are used to correct the initial value in order to obtain a more accurate final value. The simulation results indicate that the proposed WitEnLoc method can significantly improve the accuracy of the existing localization system.
Highlights
Accurate target localization plays an increasingly vital role in ensuring personnel safety and optimizing the mining process [1]
One may argue that the deployment strategies of sensing nodes should be investigated and it is completely true, but our aim is to improve the localization accuracy of the existing localization system without replacing the current system or adding extra equipment, which means we cannot control the deployment process of sensing nodes or other devices
An enhanced localization method based on witness nodes, WitEnLoc, was developed to improve the localization accuracy of existing localization systems without replacing the current system or adding extra equipment
Summary
Accurate target localization plays an increasingly vital role in ensuring personnel safety and optimizing the mining process [1]. One noticeable trend in coal mines is that there are more and more sensing nodes for IoT purposes [10, 11], such as disaster sensing and environmental sensing. All these sensors are interconnected and their locations are known as a priori. (3) Our method improves localization accuracy of existing localization systems without replacing current devices or adding new equipment, which makes it possible to upgrade the localization system smoothly.
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