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Real time IoT mobile anchor nodes outdoor localization mechanism

M. Zorkany

M. Zorkany

National Telecommunication InstituteCairo, Egypt
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Zorkany, M.
, 
Emad Abd-Elrahman

Emad Abd-Elrahman

National Telecommunication InstituteCairo, Egypt
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Abd-Elrahman, Emad
 oraz 
Ghazal A. Fahmy

Ghazal A. Fahmy

National Telecommunication InstituteCairo, Egypt
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Fahmy, Ghazal A.
  
14 wrz 2022
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Kategoria artykułu: Article
Data publikacji: 14 wrz 2022
Otrzymano: 26 mar 2022
DOI: https://doi.org/10.2478/ijssis-2022-0012
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© 2022 M. Zorkany et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1

IoT Mobile Anchor Node (ex. Vehicle) angles. Where, β = sideslip angle, Ψ = orientation of vehicle, and γ = orientation of velocity.
IoT Mobile Anchor Node (ex. Vehicle) angles. Where, β = sideslip angle, Ψ = orientation of vehicle, and γ = orientation of velocity.

Figure 2

IMU sensor fusion.
IMU sensor fusion.

Figure 3

Outdoor Localization Mechanism for IoT Nodes.
Outdoor Localization Mechanism for IoT Nodes.

Figure 4

(a): Block diagram of the proposed method. (b): Flowchart of the proposed method.
(a): Block diagram of the proposed method. (b): Flowchart of the proposed method.

Figure 5

Flow diagram of the proposed method.
Flow diagram of the proposed method.

Figure 6

The proposed hardware Anchor IoT node.
The proposed hardware Anchor IoT node.

Figure 7

Real velocity versus calculated velocity.
Real velocity versus calculated velocity.

Figure 8

Example of a GPS' calculated acceleration.
Example of a GPS' calculated acceleration.

Figure 9

Error Metric Computation (Python simulation), where: Green points are GPS observation, Red line is estimated trajectory and Blue line is the true trajectory positions.
Error Metric Computation (Python simulation), where: Green points are GPS observation, Red line is estimated trajectory and Blue line is the true trajectory positions.

Figure 10

Hardware Work Flow realized on Logic Analyzer.
Hardware Work Flow realized on Logic Analyzer.

Comparison between the proposed method and the relevant work_

2019 (Zhu et al., 2019) 2016 (Werries and Dolan, 2016) 2017 (Li et al., 2017) Proposed Method
GPS with IMU Yes Yes Yes yes
KF of modified KF Yes Yes Yes yes
Hardware implementation No No No yes
Update rate Not mentioned 250 m sec Not mentioned 10 m sec
Update location if GPS signal lost No No No yes
Integrate with IoT device No No No yes
Used Components GPS + 3IMU GPS GPS + IMU + UWB GPS + IMU
Power consumption (without microcontroller) 79.2 + 3*10.56 = 110.88 mW 79.2 mW 79.2 + 10.56 + 5.3 = 95 mW 79.2 + 10.56 = 89.76 mW
Język:
Angielski
Częstotliwość wydawania:
1 razy w roku
Dziedziny czasopisma:
Inżynieria, Wstępy i przeglądy, Inżynieria, inne
Kanał RSS czasopisma