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Real-time tracking of a moving target in an indoor corridor of the hospital building using RSSI signals received from two reference nodes

In this paper, implementation and validation of a target tracking system based on the received signal strength indicator (RSSI) for an indoor corridor environment of the hospital is presented. Six tracking methods of a moving target (i.e., equipment, robot, or human) using RSSI signals measured from...

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Detalles Bibliográficos
Autores principales: Booranawong, Apidet, Thammachote, Peeradon, Sasiwat, Yoschanin, Auysakul, Jutamanee, Sengchuai, Kiattisak, Buranapanichkit, Dujdow, Tanthanuch, Sawit, Jindapetch, Nattha, Saito, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8735738/
https://www.ncbi.nlm.nih.gov/pubmed/34993692
http://dx.doi.org/10.1007/s11517-021-02489-6
Descripción
Sumario:In this paper, implementation and validation of a target tracking system based on the received signal strength indicator (RSSI) for an indoor corridor environment of the hospital is presented. Six tracking methods of a moving target (i.e., equipment, robot, or human) using RSSI signals measured from two stationary reference nodes located at the different sides of the corridor are proposed. A filter with its optimal weight value is also applied to smoothen and increase the accuracy of estimated position results (i.e., the x-position in the corridor). Additionally, a determination approach for finding the optimal parameters assigned for the proposed tracking methods and the filter are also introduced. The proposed methods are implemented in MATLAB/Simulink, and experiments using a 2.4 GHz, IEEE 802.15.4/ZigBee wireless network have been carried out in the indoor corridor of the hospital building. Experimental results obtained from the corridor size of 22 m demonstrate that our proposed methods can automatically and efficiently track the moving target in real time. The average distance errors, in the case of varying and manual tuning the optimal parameters of the proposed methods and the filter, reduce from 5.14 to 1.01 m and 4.55 to 0.86 m (i.e., two test cases; slow moving speed and double moving speed). Here, the errors decrease by 80.35% and 81.10%, respectively. For the case using the optimal parameters determined by the optimization approach, the average errors can reduce to 0.97 m for the first test case and 0.78 m for the second test case, respectively. GRAPHICAL ABSTRACT: An RSSI-based real-time tracking system for a moving target in an indoor corridor of the hospital building [Image: see text]