RADIO FREQUENCY BASED INPAINTING FOR INDOOR LOCALIZATION USING MEMORYLESS TECHNIQUES AND WIRELESS TECHNOLOGY

Tammineni Shanmukha Prasanthi

prashanthitammineni.rs@andhrauniversity.edu.in
Andhra University (India)
https://orcid.org/0009-0000-5352-2265

Swarajya Madhuri Rayavarapu


Andhra University (India)

Gottapu Sasibhushana Rao


Andhra University (India)

Raj Kumar Goswami


Gayatri Vidya Parishad College of Engineering for Women (India)
https://orcid.org/0000-0002-0651-6783

Gottapu Santosh Kumar


Gayatri Vidya Parishad College of Engineering (India)
https://orcid.org/0000-0002-1452-9752

Abstract

Recently, the Internet of Things (IoT) has grown to encompass the surveillance of devices through the utilization of Indoor Positioning Systems (IPS) and Location Based Services (LBS). One commonly used method for developing an Intrusion Prevention System (IPS) is to utilize wireless networks to determine the location of the target. This is achieved by leveraging devices with known positions. Location-based services (LBS) play a vital role in many smart building applications, enabling the creation of efficient and effective work environments. This study examines four memoryless positioning algorithms, namely K-Nearest Neighbour (KNN), Decision tree, Naïve Bayes and Random Forest regressor. The algorithms are compared based on their performance in terms of Mean Square Error, Root Mean Square Error, Mean Absolute Error and R2. A comparative analysis has been conducted to verify the outcomes of different memoryless techniques in Wi-Fi technology. Based on empirical evidence, Naïve Bayes has been determined to be the localization strategy that exhibits the highest level of accuracy. The dataset containing the Received Signal Strength Indicator (RSSI) measurements from all the studies is accessed online.


Keywords:

RSSI, K-Nearest Neighbor, Indoor Localization, Random Forest Regressor

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Published
2024-12-21

Cited by

Prasanthi, T. S., Rayavarapu, S. M., Rao, G. S., Goswami, R. K., & Kumar, G. S. (2024). RADIO FREQUENCY BASED INPAINTING FOR INDOOR LOCALIZATION USING MEMORYLESS TECHNIQUES AND WIRELESS TECHNOLOGY. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 14(4), 10–15. https://doi.org/10.35784/iapgos.6236

Authors

Tammineni Shanmukha Prasanthi 
prashanthitammineni.rs@andhrauniversity.edu.in
Andhra University India
https://orcid.org/0009-0000-5352-2265

Authors

Swarajya Madhuri Rayavarapu 

Andhra University India

Authors

Gottapu Sasibhushana Rao 

Andhra University India

Authors

Raj Kumar Goswami 

Gayatri Vidya Parishad College of Engineering for Women India
https://orcid.org/0000-0002-0651-6783

Authors

Gottapu Santosh Kumar 

Gayatri Vidya Parishad College of Engineering India
https://orcid.org/0000-0002-1452-9752

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