An Indoor Positioning Algorithm Based on RSSI Real-time Correction

Li, Guoquan; Geng, Enxu; Ye, Zhouyang; Xu, Yongjun; Zhu, Hongyu

doi:10.1109/icsp.2018.8652382

Cited by 14 publications

(5 citation statements)

References 15 publications

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“…Analyzing Figure 1, it can be observed that the accuracy of the estimation of the distance di (wristbandlocator node distance) is the main factor affecting the accuracy of determining the (x1, y1) coordinates of point P1. The solution to the given task can be obtained by using the multilateration methods [20], [58], [59].…”

Section: Estimation Of 2d Position Coordinates Using Multilaterationmentioning

confidence: 99%

Indoor Positioning Based on Bluetooth RSSI Mean Estimator for the Evacuation Supervision System Application

Janczak,

Walendziuk,

Sadowski

et al. 2024

IEEE Access

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Section: Estimation Of 2d Position Coordinates Using Multilaterationmentioning

confidence: 99%

Indoor Positioning Based on Bluetooth RSSI Mean Estimator for the Evacuation Supervision System Application

Janczak,

Walendziuk,

Sadowski

et al. 2024

IEEE Access

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“…There are myriad types of positioning algorithms based on different metrics such as Received Signal Strength Indication (RSSI)-distance method, Time-of-Arrival positioning, wireless fingerprint positioning etc. [25,26]. Given the channel model, the RSSI-distance method keeps track of the received signal strength (RSS) in order to estimate the position of the target.…”

Section: A Prior Work and Contributionmentioning

confidence: 99%

Time Difference of Arrival Based Indoor Positioning System Using Visible Light Communication

et al. 2021

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Visible Light Communication (VLC) is a novel optical wireless communication technology which uses Light Emitting Diodes (LEDs) and Photodiodes for coherent detection and very-high-data rate data communication system. The stringent Line of Sight (LoS) requirement in VLC makes it very suitable for Indoor Positioning System (IPS), to be used for autonomous and smart city infrastructure. The current work aims to implement a real time IPS system using VLC link in Network Simulator (NS-3). The VLC module is implemented by modelling real-time attributes of LEDs, optical channel, and the photodiodes. The localization is carried out using trilateration schemes which measures the Received Signal Strength Indication (RSSI) and the Time Difference of Arrival (TDoA) for position estimation of the target. The project is further extended to obtain a comparative analysis between VLC link and other existing technology, Wi-Fi, as far as positioning accuracy and other important performance metrics are concerned. The simulation results show significant improvement for the VLC link over the Wi-Fi link specially for the TDoA scheme accompanied by increasing number of beacon nodes. INDEX TERMSVisible Light communication, IPS, RSSI, TDoA, Trilateration or Multilateration, NS-3 simulator. I. INTRODUCTION Since the inception of RF technologies, there has been a tremendous growth in the telecommunication sector, especially the wireless networks. However, with the increase in demand of RF spectrum, RF spectrum saturation has been observed. The interference between the communication links has also taken a toll [1]. Due to this dilemma, optical communication technologies, i.e., non-RF spectrum technologies, have gained considerable attention of data communication researchers. Amongst optical communication technologies, VLC is relatively a recent data communication that offer extremely high data rate and inherent security [2]. This is because the VLC provides the best of the transmission characteristics with the minimum trade-off. Other salient features include non-penetration to walls, cost effectiveness, vast spectrum of communication, no interference with RF spectrum (430-790THz), and high resolution for localization applications [3]. The communication over a VLC link is highly secure for covert communication due to opacity hindrance because VLC signal cannot pass through walls and other opaque materials.The high transmission speed, safety, low energy consumptions and operating in restricting environments, all provide an edge to VLC over the standard Wireless communication technologies [4]. It is worth-mentioning that although VLC links are very reliable due to the noninterference of RF signals, yet Low Density Parity Check (LDPC) codes are, in general, able to achieve the capacityapproaching performance of a myriad of communication systems. However, the present work does not take into consideration the use of LDPC codes due to the scope of the work [5,6]. The VLC systems use LEDs to transmit wireless data over long distances and support su...

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“…Other researchers have also used machine learning algorithms such as KNN and WNN [19], ELM [20], SVM [7], and SVM and DT [21] for position estimation in an indoor environment. According to the literature two machine learning algorithms, both K-NN and SVM show better performance against the other learning model.…”

Section: Related Workmentioning

confidence: 99%

Cuckoo Search-based SVM (CS-SVM) Model for Real-Time Indoor Position Estimation in IoT Networks

Khan

Bangash

et al. 2021

Security and Communication Networks

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Internet of Things (IoT), an emerging technology, is becoming an essential part of today’s world. Machine learning (ML) algorithms play an important role in various applications of IoT. For decades, the location information has been extremely useful for humans to navigate both in outdoor and indoor environments. Wi-Fi access point-based indoor positioning systems get more popularity, as it avoids extra calibration expenses. The fingerprinting technique is preferred in an indoor environment as it does not require a signal’s Line of Sight (LoS). It consists of two phases: offline and online phase. In the offline phase, the Wi-Fi RSSI radio map of the site is stored in a database, and in the online phase, the object is localized using the offline database. To avoid the radio map construction which is expensive in terms of labor, time, and cost, machine learning techniques may be used. In this research work, we proposed a hybrid technique using Cuckoo Search-based Support Vector Machine (CS-SVM) for real-time position estimation. Cuckoo search is a nature-inspired optimization algorithm, which solves the problem of slow convergence rate and local minima of other similar algorithms. Wi-Fi RSSI fingerprint dataset of UCI repository having seven classes is used for simulation purposes. The dataset is preprocessed by min-max normalization to increase accuracy and reduce computational speed. The proposed model is simulated using MATLAB and evaluated in terms of accuracy, precision, and recall with K-nearest neighbor (KNN) and support vector machine (SVM). Moreover, the simulation results show that the proposed model achieves high accuracy of 99.87%.

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An Indoor Positioning Algorithm Based on RSSI Real-time Correction

Cited by 14 publications

References 15 publications

Indoor Positioning Based on Bluetooth RSSI Mean Estimator for the Evacuation Supervision System Application

Indoor Positioning Based on Bluetooth RSSI Mean Estimator for the Evacuation Supervision System Application

Time Difference of Arrival Based Indoor Positioning System Using Visible Light Communication

Cuckoo Search-based SVM (CS-SVM) Model for Real-Time Indoor Position Estimation in IoT Networks

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