RIBATS: RSSI-based adaptive tracking system with ASEKF for indoor WSN

Ainul, Rafina Destiarti and Darminto, Hendi Wicaksono Agung (2025) RIBATS: RSSI-based adaptive tracking system with ASEKF for indoor WSN. Indonesian Journal of Electrical Engineering and Computer Science (IJEECS), 39 (1). pp. 225-234. ISSN 2502-4752, e-ISSN: 2502-4760

PDF 39482-88535-1-PB.pdf Download (983kB)

Abstract

Wireless indoor tracking systems face challenges due to environmental conditions and signal attenuation, affecting location accuracy, crucial in wireless sensor network (WSN) applications. Many tracking techniques rely on specific path loss models proposed by previous researches, but these models are susceptible to changes in environmental conditions, impacting estimation outcomes. In order to solve these problems, this paper propose adaptive tracking system using received signal strength indicator (RSSI) measurement parameter called as RIBATS. Adaptive in this system refers to the reliability of an algorithm for obtaining the accurate location without any path loss modelling at dynamic indoor environments. The enhancement of weighted centroid localization (eWCL) scheme calculates the location estimation only using RSSI data measurement without propagation characterisic determination. However, estimation result from eWCL still have high error at certain area. Hence, by defining a multiplier factor as adaptive scaled to the covariance matrix of EKF can eliminate distortion effects from eWCL called as adaptive scaled extended Kalman filter (ASEKF) algorithm. An effective variance estimation algorithm for adaptive indoor tracking system using eWCL and ASEKF combination achieve 0.82 meters mean square error (MSE) value with 55.67% error reduction. Then, without using multiplier scale factor at EKF algorithm only reduce previous eWCL at 3.78% with 1.78 meters MSE value.

Item Type:	Article
Uncontrolled Keywords:	Adaptive tracking; ASEKF; RIBATS; RSSI; WSN
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Engineering > Department of Electrical Engineering
Depositing User:	RAFINA DESTIARTI AINUL
Date Deposited:	28 May 2025 02:59
Last Modified:	28 May 2025 02:59
URI:	http://repository.ubaya.ac.id/id/eprint/48612

Actions (login required)

View Item