IEEE 802.15.4 Signal Strength Evaluation in an Indoor Environment for Positioning Applications

Daniel Bin Wahab, Mohd Syafiq; Kiring, Aroland; Barukang, Liawas; Yew, Hoe Tung; Farm, Yan Yan; Chung, Seng Kheau

doi:10.1109/iicaiet59451.2023.10291565

Cited by 2 publications

(1 citation statement)

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“…Recently, Wahab et al in [19] evaluated the signal strength of IEEE 802.15.4 in indoor positioning, with a specific focus on the impact of access point positioning and environmental variables. The study evaluates and contrasts theoretical and empirical path loss models, demonstrating an error rate of less than 5.5%.…”

Section: Related Workmentioning

confidence: 99%

A Dynamic Indoor Localization with Movement Validation and Fingerprinting Technique under IEEE 802.15.4 Network

Puspitaningayu,

Funabiki,

Huo

et al. 2024

IJCDS

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The study of indoor localization has been extensively studied, either in terms of wireless technologies or localization techniques. The accuracy is then challenged when the monitored object is actively moving. Previously, we studied a continuous and low-power fingerprint-based indoor localization system using IEEE 802.15.4 (FILS15.4), which has been integrated into a smart environmental IoT platform. Although fingerprint-based localization offers a great advantage in its simplicity, it relies on real-time signal strength measurements and databases. Thus, it suffers challenges in accuracy when the object is continuously moving. In this study, we focus on developing dynamic positioning, where users continuously move from one room to another. Due to human movements, the fluctuation of the link quality indicator (LQI) can affect the detection accuracy. To avoid false detection, we propose a movement validation method by checking the variance of the LQI and accelerometer to differentiate the cause of fluctuations and increase the detection accuracy. For experiments, we run the test-bed of FILS15.4 on a two-floor layout. Five to six receivers were allocated to detect multiple users. The results show that the system yields 96.2% accuracy using six receivers simultaneously. Thus, it gives sufficient detection accuracy even for dynamic conditions.

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Section: Related Workmentioning

confidence: 99%