Human movement effects on the performance of the RSSI-based trilateration method: adaptive filters for distance compensation

Sasiwat, Yoschanin; Buranapanichkit, Dujdow; Chetpattananondh, Kanadit; Sengchuai, Kiattisak; Jindapetch, Nattha; Booranawong, Apidet

doi:10.1007/s40860-019-00094-x

Cited by 10 publications

(6 citation statements)

References 25 publications

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“…This can save a number of reference nodes to be used. In addition, to handle the RSSI variation problem caused by various environmental factors, 12,[27][28][29] which can produce inaccurate distances used for the WCL estimation, an approach for compensating distance values is also proposed to achieve localization accuracy. We also verified the proposed system through an experimental study using a 2.4 GHz IEEE 802.15.4 WSN.…”

Section: Methodsmentioning

confidence: 99%

“…Furthermore, to improve a more accurate estimation, distance values converted from measured RSSIs collected from physical environments are also compensated to alleviate the RSSI variation problem. 28,29 Hence, d 1 to d 4 are compensated to d1 to d4 . For example, if from the previous step d 1 and d 2 are selected for calculation, they will be compensated by taking each other into account, as shown in ( 8) and (10).…”

Section: Wcl Methods With Corridor Area Selection and Distance Compen...mentioning

confidence: 99%

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Development of an indoor corridor localization system based on a WCL method with corridor area selection and distance compensation

Wattananavin,

Booranawong,

Saito

2024

Int J Communication

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SummaryIn this paper, a received signal strength indicator (RSSI)‐based weighted centroid localization (WCL) method for indoor corridor scenarios is developed and tested. The contribution of the proposed system is that, to scope the area of an unknown target position, the possible corridor area where the target node should be located is automatically selected, and only reference nodes deployed in such an area are applied for position estimation. Additionally, to improve the estimation precision, distance values converted from measured RSSIs and used for the WCL are also compensated to alleviate the RSSI variation problem caused by physical environments. Therefore, our methods can save a number of reference nodes to be used, while localization accuracy can also be achieved. Experiments in the corridor environment using a 2.4 GHz IEEE 802.15.4 wireless sensor network with four reference nodes deployed in the test field dimension of 22 m × 9.3 m have been performed. Experimental results demonstrate that the proposed method, which requires only two reference nodes, outperforms the original WCL method with four reference nodes by 53.053%, as indicated by average localization errors. The results also reveal that the proposed method provides error distances lower than the WCL method for all test target positions, while all estimated positions fall within the corridor areas by 100%.

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Section: Methodsmentioning

confidence: 99%

Section: Wcl Methods With Corridor Area Selection and Distance Compen...mentioning

confidence: 99%

Development of an indoor corridor localization system based on a WCL method with corridor area selection and distance compensation

Wattananavin,

Booranawong,

Saito

2024

Int J Communication

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“…From the above figures, it can be seen that Wi-Fi performs better in all environments. This is because localization accuracy is dependent on RSSI variation [37]. This means more variation captures the effect of its surrounding more effectively as compared to less variation.…”

Section: B Performing Trilaterationmentioning

confidence: 99%

A Comparison of Wireless Standards in IoT for Indoor Localization Using LoPy

et al. 2021

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There are surplus applications in modern smart cities where localization of indoor environments is critical ranging from surveillance and trailing in smart structures to the localized wireless distribution of advertising content in shopping malls. These applications are only successful if a robust and cost-effective real-time system is developed for precise localization. Another aspect considered for indoor localization is power consumption. Recent wireless standards such as Bluetooth Low Energy (BLE) and LoRa consume less power which makes them a perfect candidate for indoor localization. This work aims to carry out an experimental evaluation which would help to decide which wireless standard i.e., Wi-Fi, Bluetooth Low Energy (BLE), and LoRa are most suitable for indoor localization. Experiments are carried out using trilateration in three multiple environments. RSSI is used to calculate the coordinates of a sensor node. Results obtained from the experiment show that Wi-Fi is most accurate with an average error of 0.54 m. LoRa is second most accurate with an average error of 0.62 m and BLE is the least accurate with an average error of 0.82 m. These results can be used to decide which wireless standard is best suited for indoor localization.

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“…The error-prone Received Signal Strength (RSS) method, for instance, is targeted by Alabadleh et al [ 4 ] with a Hidden Markov Model error correction technique. Sasiwat et al [ 160 ] find that human movements, which will typically occur in indoor localization scenarios, results in severe fluctuations in RSS measurements and thus RSS-based localization. Moriyama et al [ 135 ] suggest that acoustic waves may be more suitable than radio-waves.…”

Section: The Value Of Location Datamentioning

confidence: 99%

Location-aware systems or location-based services: a survey with applications to CoViD-19 contact tracking

Schmidtke¹

2020

J Reliable Intell Environ

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With the CoViD-19 pandemic, location awareness technologies have seen renewed interests due to the numerous contact tracking mobile application variants developed, deployed, and discussed. For some, location-aware applications are primarily a producer of geospatial Big Data required for vital geospatial analysis and visualization of the spread of the disease in a state of emergency. For others, comprehensive tracking of citizens constitutes a dangerous violation of fundamental rights. Commercial web-based location-aware applications both collect data and—through spatial analysis and connection to services—provide value to users. This value is what motivates users to share increasingly private and comprehensive data. The willingness of users to share data in return for services has been a key concern with web-based variants of the technology since the beginning. With a focus on two privacy preserving CoViD-19 contact tracking applications, this survey walks through the key steps of developing a privacy preserving context-aware application: from types of applications and business models, through architectures and privacy strategies, to representations.

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Human movement effects on the performance of the RSSI-based trilateration method: adaptive filters for distance compensation

Cited by 10 publications

References 25 publications

Development of an indoor corridor localization system based on a WCL method with corridor area selection and distance compensation

Development of an indoor corridor localization system based on a WCL method with corridor area selection and distance compensation

A Comparison of Wireless Standards in IoT for Indoor Localization Using LoPy

Location-aware systems or location-based services: a survey with applications to CoViD-19 contact tracking

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