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Artículos de revistas sobre el tema "Received signal power (RSS)"

Autor: Grafiati

Publicado: 25 de mayo de 2024

Última modificación: 31 de julio de 2025

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1

Xu, Yihuai, Xin Hu, Yimao Sun, et al. "High-Accuracy Height-Independent 3D VLP Based on Received Signal Strength Ratio." Sensors 22, no. 19 (2022): 7165. http://dx.doi.org/10.3390/s22197165.

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Visible light positioning (VLP) has attracted intensive attention from both academic and industrial communities thanks to its high accuracy, immunity to electromagnetic interference, and low deployment cost. In general, the receiver in a VLP system determines its own position by exploring the received signal strength (RSS) from the transmitter according to a pre-built RSS attenuation model. In such model-based methods, the LED’s emission power and the receiver’s height are usually required known and constant parameters to obtain reasonable positioning accuracy. However, the LED’s emission powe

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2

Raes, Willem, Nicolas Knudde, Jorik De Bruycker, Tom Dhaene, and Nobby Stevens. "Experimental Evaluation of Machine Learning Methods for Robust Received Signal Strength-Based Visible Light Positioning." Sensors 20, no. 21 (2020): 6109. http://dx.doi.org/10.3390/s20216109.

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In this work, the use of Machine Learning methods for robust Received Signal Strength (RSS)-based Visible Light Positioning (VLP) is experimentally evaluated. The performance of Multilayer Perceptron (MLP) models and Gaussian processes (GP) is investigated when using relative RSS input features. The experimental set-up for the RSS-based VLP technology uses light-emitting diodes (LEDs) transmitting intensity modulated light and a single photodiode (PD) as a receiver. The experiments focus on achieving robustness to cope with unknown received signal strength modifications over time. Therefore, s

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3

Waqas, Muhammad, Qamar Abbas, Ahsan Qureshi, et al. "Advanced Line-of-Sight (LOS) model for communicating devices in modern indoor environment." PLOS ONE 19, no. 7 (2024): e0305039. http://dx.doi.org/10.1371/journal.pone.0305039.

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The provision of Wireless Fidelity (Wi-Fi) service in an indoor environment is a crucial task and the decay in signal strength issues arises especially in indoor environments. The Line-of-Sight (LOS) is a path for signal propagation that commonly impedes innumerable indoor objects damage signals and also causes signal fading. In addition, the Signal decay (signal penetration), signal reflection, and long transmission distance between transceivers are the key concerns. The signals lose their power due to the existence of obstacles (path of signals) and hence destroy received signal strength (RS

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4

Veselý, Jiří, Petr Hubáček, and Jana Olivová. "The Power Gain Difference Method Analysis." Sensors 20, no. 11 (2020): 3018. http://dx.doi.org/10.3390/s20113018.

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In this paper, we propose a new approach to passively locate the 3D position of a signal source. This novel technique, called the power gain difference (PGD), is based only on measuring the received signal strength (RSS) with multiple sensors deployed in the area of interest, while the target transmit power or the equivalent isotropic radiated power (EIRP) is assumed to be unknown. Next, the signal source position is estimated using the knowledge of the ratios of RSS measured on different sensors. First, this article presents the geometric representation and the analytical solution of the mode

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5

Karrar, Shakir Muttair, Farhan Mosleh Mahmood, and Ahmed Shareef Oras. "Optimal transmitter location using multi-scale algorithm based on real measurement for outdoor communication." International Journal of Artificial Intelligence (IJ-AI) 11, no. 4 (2022): 1384–94. https://doi.org/10.11591/ijai.v11.i4.pp1384-1394.

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In the era of wireless network communication, the demand for determining the best transmitter (Tx) location is constantly increasing especially in outdoor environments and localization-based services. In this paper, localization optimal location of a Tx has been achieved in electrical engineering technical college by using received signal strength (RSS). We install practical devices in the college to measure the received signal strength in all the college regions. Where each device consists of two pieces which are the AirMAX sector directional antenna and signal broadcast piece (router board).

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6

Chiu, Ka Ho, Handi Yin, Weipeng Zhuo, Chul-Ho Lee, and S. H. Gary Chan. "Graph-based Fingerprint Update Using Unlabelled WiFi Signals." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 9, no. 1 (2025): 1–26. https://doi.org/10.1145/3712277.

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WiFi received signal strength (RSS) environment evolves over time due to the movement of access points (APs), AP power adjustment, installation and removal of APs, etc. We study how to effectively update an existing database of fingerprints, defined as the RSS values of APs at designated locations, using a batch of newly collected unlabelled (possibly crowdsourced) WiFi signals. Prior art either estimates the locations of the new signals without updating the existing fingerprints or filters out the new APs without sufficiently embracing their features. To address that, we propose GUFU, a novel

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7

Martínez-Ciro, Roger Alexander, Francisco Eugenio López-Giraldo, José Martín Luna-Rivera, and Atziry Magaly Ramírez-Aguilera. "An Indoor Visible Light Positioning System for Multi-Cell Networks." Photonics 9, no. 3 (2022): 146. http://dx.doi.org/10.3390/photonics9030146.

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Indoor positioning systems based on visible light communication (VLC) using white light-emitting diodes (WLEDs) have been widely studied in the literature. In this paper, we present an indoor visible-light positioning (VLP) system based on red–green–blue (RGB) LEDs and a frequency division multiplexing (FDM) scheme. This system combines the functions of an FDM scheme at the transmitters (RGB LEDs) and a received signal strength (RSS) technique to estimate the receiver position. The contribution of this work is two-fold. First, a new VLP system with RGB LEDs is proposed for a multi-cell network

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8

Ahmad, A., P. Claudio, A. Alizadeh Naeini, and G. Sohn. "WI-FI RSS FINGERPRINTING FOR INDOOR LOCALIZATION USING AUGMENTED REALITY." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-4-2020 (August 3, 2020): 57–64. http://dx.doi.org/10.5194/isprs-annals-v-4-2020-57-2020.

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Abstract. Indoor localization has attracted the attention of researchers for wide applications in areas like construction, facility management, industries, logistics, and health. The Received Signal Strength (RSS) based fingerprinting method is widely adopted because it has a lower cost over other methods. RSS is a measurement of the power present in the received radio signal. While this fingerprinting method is very popular, there is a significant amount of effort required for collecting fingerprints for indoor space. In this paper, we propose an RSS fingerprinting method using Augmented Real

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9

Muttair, Karrar Shakir, Mahmood Farhan Mosleh, and Oras Ahmed Shareef. "Optimal transmitter location using multi-scale algorithm based on real measurement for outdoor communication." IAES International Journal of Artificial Intelligence (IJ-AI) 11, no. 4 (2022): 1384. http://dx.doi.org/10.11591/ijai.v11.i4.pp1384-1394.

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In the era of wireless network communication, the demand for determining the best transmitter (Tx) location is constantly increasing especially in outdoor environments and localization-based services. In this paper, localization optimal location of a Tx has been achieved in electrical engineering technical college by using received signal strength (RSS). We install practical devices in the college to measure the received signal strength in all the college regions. Where each device consists of two pieces which are the AirMAX sector directional antenna and signal broadcast piece (router board).

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10

Sergi, Simone, Fabrizio Pancaldi, and Giorgio M. Vitetta. "Cluster-Based Ranging for Accurate Localization in Wireless Sensor Networks." International Journal of Navigation and Observation 2010 (July 29, 2010): 1–11. http://dx.doi.org/10.1155/2010/460860.

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A novel ranging technique based on received signal strength (RSS) and suitable to indoor scenarios is illustrated. In the proposed technique, multiple power measurements, associated with the signals radiated by a cluster of nodes surrounding a given target, are jointly processed to improve the quality of RSS-based estimation of the distance between the target and an anchor. Specific algorithms for the generation of a cluster and for the acquisition of power measurements are described. Simulation results show that, when used in indoor positioning systems, the proposed ranging technique is subst

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11

Rzymowski, Mateusz, Krzysztof Nyka, and Lukasz Kulas. "Direction of Arrival Estimation Based on Received Signal Strength Using Two-Row Electronically Steerable Parasitic Array Radiator Antenna." Sensors 22, no. 5 (2022): 2034. http://dx.doi.org/10.3390/s22052034.

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In this paper, we present a novel approach to direction-of-arrival (DoA) estimation using two-row electronically steerable parasitic array radiator (ESPAR) antenna which has 12 passive elements and allows for elevation and azimuth beam switching using a simple microcontroller, relying solely on received signal strength (RSS) values measured at the antenna output port. To this end, we thoroughly investigate all 18 available 3D antenna radiation patterns of the antenna measured in an anechoic chamber with respect to radiation coverage in the horizontal and vertical direction and propose a genera

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12

Bi, Jingxue, Yunjia Wang, Xin Li, Hongxia Qi, Hongji Cao, and Shenglei Xu. "An Adaptive Weighted KNN Positioning Method Based on Omnidirectional Fingerprint Database and Twice Affinity Propagation Clustering." Sensors 18, no. 8 (2018): 2502. http://dx.doi.org/10.3390/s18082502.

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The human body has a great influence on Wi-Fi signal power. A fixed K value leads to localization errors for the K-nearest neighbor (KNN) algorithm. To address these problems, we present an adaptive weighted KNN positioning method based on an omnidirectional fingerprint database (ODFD) and twice affinity propagation clustering. Firstly, an OFPD is proposed to alleviate body’s sheltering impact on signal, which includes position, orientation and the sequence of mean received signal strength (RSS) at each reference point (RP). Secondly, affinity propagation clustering (APC) algorithm is introduc

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13

Perihanoglu, G. M., and H. Karaman. "SPATIAL PREDICTION OF RECEIVED SIGNAL STRENGTH FOR CELLULAR COMMUNICATION USING SUPPORT VECTOR MACHINE AND K-NEAREST NEIGHBOURS REGRESSION." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W9-2024 (March 8, 2024): 291–97. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w9-2024-291-2024.

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Abstract. Signal strength maps are of great importance for cellular system providers in network planning and operation. Accurate prediction of signal strength is important for solving problems such as link quality. In this study, Received Signal Strength (RSS) prediction model is proposed for the 900 MHz band in the Van Yüzüncü Yıl University campus environment by using machine learning regression methods such as K- Nearest Neıghbours (KNN) and Support Vector Regression (SVR) together with Geographic Information Systems. For the training of this model, signal strength values taken from the RF

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14

Khan, Malak Abid Ali, Hongbin Ma, Zia Ur Rehman, Ying Jin, and Atiq Ur Rehman. "Evaluation of Distributed Machine Learning Model for LoRa-ESL." Journal of Advanced Computational Intelligence and Intelligent Informatics 27, no. 4 (2023): 700–709. http://dx.doi.org/10.20965/jaciii.2023.p0700.

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To overcome the previous challenges and to mitigate the retransmission and acknowledgment of LoRa for electric shelf labels, the data parallelism model is used for transmitting the concurrent data from the network server to end devices (EDs) through gateways (GWs). The EDs are designated around the GWs based on machine clustering to minimize data congestion, collision, and overlapping during signal reception. Deployment and redeployment of EDs in the defined clusters depend on arithmetic distribution to reduce the near-far effect and the overall saturation in the network. To further improve th

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15

Wu, Chunxiang, Yapeng Wang, Wei Ke, and Xu Yang. "A Dual-Branch Convolutional Neural Network-Based Bluetooth Low Energy Indoor Positioning Algorithm by Fusing Received Signal Strength with Angle of Arrival." Mathematics 12, no. 17 (2024): 2658. http://dx.doi.org/10.3390/math12172658.

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Indoor positioning is the key enabling technology for many location-aware applications. As GPS does not work indoors, various solutions are proposed for navigating devices. Among these solutions, Bluetooth low energy (BLE) technology has gained significant attention due to its affordability, low power consumption, and rapid data transmission capabilities, making it highly suitable for indoor positioning. Received signal strength (RSS)-based positioning has been studied intensively for a long time. However, the accuracy of RSS-based positioning can fluctuate due to signal attenuation and enviro

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16

Akinbolati, Akinsanmi, and Moses Oludare Ajewole. "EFFECT OF SOME RADIO CLIMATIC FACTORS ON DIGITAL TERRESTRIAL TELEVISION SIGNAL IN A SAHEL SAVANNAH CITY OF NIGERIA." FUDMA JOURNAL OF SCIENCES 4, no. 2 (2020): 111–18. http://dx.doi.org/10.33003/fjs-2020-0402-150.

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This study investigates the effect of some radio climatic factors on the Received Signal Strength (RSS) of a Digital Terrestrial Television Broadcast Station (DTTBS) in Katsina City, Nigeria. The RSS was measured at intervals along selected routes around the station using a digital signal strength meter. GPS receiver was used to log the line of sight, geographic coordinates and heights of data points from the station. The atmospheric pressure, temperature and humidity corresponding to data points were concurrently measured using a compact weather station whereas the corresponding surface radio

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17

Neunteufel, Daniel, Stefan Grebien, and Holger Arthaber. "Indoor Positioning of Low-Cost Narrowband IoT Nodes: Evaluation of a TDoA Approach in a Retail Environment." Sensors 22, no. 7 (2022): 2663. http://dx.doi.org/10.3390/s22072663.

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The localization of internet of things (IoT) nodes in indoor scenarios with strong multipath channel components is challenging. All methods using radio signals, such as received signal strength (RSS) or angle of arrival (AoA), are inherently prone to multipath fading. Especially for time of flight (ToF) measurements, the low available transmit bandwidth of the used transceiver hardware is problematic. In our previous work on this topic we showed that wideband signal generation on narrowband low-power transceiver chips is feasible without any changes to existing hardware. Together with a fixed

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18

FASYA, ISTI, AKHMAD HAMBALI, and BRIAN PAMUKTI. "Penentuan Indoor Positioning System (IPS) menggunakan Metode Received Signal Strength (RSS) untuk Visible Light Communication (VLC)." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 11, no. 2 (2023): 325. http://dx.doi.org/10.26760/elkomika.v11i2.325.

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ABSTRAKPenentuan posisi di dalam ruangan merupakan hal yang penting untuk menjadikan petunjuk di dalam ruangan. Banyak metode lain yang sudah dilakukan penelitian tetapi ada beberapa kendala seperti tidak dapat digunakan di area sensitive dan biaya yang mahal. Pada penelitian ini kami mengusulkan untuk melakukan simulasi penentuan posisi menggunakan metode Received Signal Strength (RSS) dengan Light Emitting Diode (LED) dan Positive Intrinsic Negatif (PIN). Dengan asumsi pada ruangan tertutup yang berukuran 5 × 5 × 3 m3, kami melakukan simulasi 4 skenario posisi transmitter. Pada setiap skenar

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19

Azita, Laily Yusof, Eiza Azhar Ainnur, and Ya'acob Norsuzila. "Performance evaluation of UE-controlled intelligent handover algorithm for natural disaster." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 1 (2020): 24–30. https://doi.org/10.11591/ijeecs.v20.i1.pp24-30.

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This paper proposes a UE-controlled intelligent handover algorithm for natural disaster. In this handover algorithm, two variables known as modified received signal strength (RSSm) and left over power (LoP) are identified. The RSSm is an improved formulation from RSS where distance fraction coefficient has been introduced. The fraction coefficient of 0.2 is used where the affected areas is reduced so that the users can receive good signal quality due to its location near to the base station. Meanwhile, the LoP also has been investigated to control power consumption of base station. In this res

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20

Janssen, Thomas, Rafael Berkvens, and Maarten Weyn. "RSS-Based Localization and Mobility Evaluation Using a Single NB-IoT Cell." Sensors 20, no. 21 (2020): 6172. http://dx.doi.org/10.3390/s20216172.

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Low Power Wide Area Networks (LPWAN) have the ability to localize a mobile transmitter using signals of opportunity, as a low power and low cost alternative to satellite-based solutions. In this paper, we evaluate the accuracy of three localization approaches based on the Received Signal Strength (RSS). More specifically, the performance of a proximity, range-based and optimized fingerprint-based algorithm is evaluated in a large-scale urban environment using a public Narrowband Internet of Things (NB-IoT) network. The results show a mean location estimation error of 340, 320 and 204 m, respec

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21

Kimoto, Ryota, Shigemi Ishida, Takahiro Yamamoto, Shigeaki Tagashira, and Akira Fukuda. "MuCHLoc: Indoor ZigBee Localization System Utilizing Inter-Channel Characteristics." Sensors 19, no. 7 (2019): 1645. http://dx.doi.org/10.3390/s19071645.

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The deployment of a large-scale indoor sensor network faces a sensor localization problem because we need to manually locate significantly large numbers of sensors when Global Positioning System (GPS) is unavailable in an indoor environment. Fingerprinting localization is a popular indoor localization method relying on the received signal strength (RSS) of radio signals, which helps to solve the sensor localization problem. However, fingerprinting suffers from low accuracy because of an RSS instability, particularly in sensor localization, owing to low-power ZigBee modules used on sensor nodes

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22

Abe, Bolanle T., and Akinsanmi Akinbolati. "In-depth study of path loss and coverage areas of selected GSM signals over a typical Sudan Savannah environment." Edelweiss Applied Science and Technology 9, no. 4 (2025): 2877–92. https://doi.org/10.55214/25768484.v9i4.6689.

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Studies on path loss and coverage areas are essential in GSM technology to ensure Quality of Service (QoS). This research was conducted on MTN and 9-Mobile 4G signals over Zaria City, Nigeria, using the COST-231 model. The measurement campaign was conducted using a drive test; Line of Sight (LOS) from the Transmitting Base Station(s) (TBS), Received Signal Strengths (RSS), elevation, longitude, and latitudes of data points were recorded. Data were collected at 100 m intervals along two routes from the TBS up to 1 km and then at 1 km intervals up to 5 km. The Spectrum Analyzer was used to measu

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23

Laily Yusof, Azita, Ainnur Eiza Mohd Azhar, and Norsuzila Ya’acob. "Performance analysis of handover parameter for natural disaster in LTE-A network." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 1 (2019): 319. http://dx.doi.org/10.11591/ijeecs.v16.i1.pp319-324.

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<span>Natural disaster is an unpredictable event which can cause service communication disruption. The disruption of service communication can be divided into three cases which are power outage, broken backhaul and physical destruction by disaster. This paper focuses on power outage case. Although each base stations equipped with backup batteries, it only last for several hours. After natural disaster hit certain areas, traffic is highly congested due to panic and rescue operation of lifesaving. This scenario will drain the backup batteries quickly. In order to limit the UEs’ connection

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24

Laily Yusof, Azita, Ainnur Eiza Azhar, and Norsuzila Ya’acob. "Performance evaluation of UE-controlled intelligent handover algorithm for natural disaster." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 1 (2020): 24. http://dx.doi.org/10.11591/ijeecs.v20.i1.pp24-30.

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<span>This paper proposes a UE-controlled intelligent handover algorithm for natural disaster. In this handover algorithm, two variables known as modified Received Signal Strength (RSSm) and Left over Power (LoP) are identified. The RSSm is an improved formulation from RSS where distance fraction coefficient has been introduced. The fraction coefficient of 0.2 is used where the affected areas is reduced so that the users can receive good signal quality due to its location near to the base station. Meanwhile, the LoP also has been investigated to control power consumption of base station.

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25

Puspitasari, Annisa Anggun, and Byung Moo Lee. "A Survey on Reinforcement Learning for Reconfigurable Intelligent Surfaces in Wireless Communications." Sensors 23, no. 5 (2023): 2554. http://dx.doi.org/10.3390/s23052554.

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A reconfigurable intelligent surface (RIS) is a development of conventional relay technology that can send a signal by reflecting the signal received from a transmitter to a receiver without additional power. RISs are a promising technology for future wireless communication due to their improvement of the quality of the received signal, energy efficiency, and power allocation. In addition, machine learning (ML) is widely used in many technologies because it can create machines that mimic human mindsets with mathematical algorithms without requiring direct human assistance. Meanwhile, it is nec

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Shu, Yueh-Han, Yun-Han Chang, Yuan-Zeng Lin, and Chi-Wai Chow. "Real-Time Indoor Visible Light Positioning (VLP) Using Long Short Term Memory Neural Network (LSTM-NN) with Principal Component Analysis (PCA)." Sensors 24, no. 16 (2024): 5424. http://dx.doi.org/10.3390/s24165424.

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New applications such as augmented reality/virtual reality (AR/VR), Internet-of-Things (IOT), autonomous mobile robot (AMR) services, etc., require high reliability and high accuracy real-time positioning and tracking of persons and devices in indoor areas. Among the different visible-light-positioning (VLP) schemes, such as proximity, time-of-arrival (TOA), time-difference-of-arrival (TDOA), angle-of-arrival (AOA), and received-signal-strength (RSS), the RSS scheme is relatively easy to implement. Among these VLP methods, the RSS method is simple and efficient. As the received optical power h

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27

Yang, Hui. "Wireless sensor localization based on distance optimization and assistance by mobile anchor nodes: a novel algorithm." PeerJ Computer Science 10 (July 31, 2024): e2179. http://dx.doi.org/10.7717/peerj-cs.2179.

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Wireless sensor networks (WSNs) have wide applications in healthcare, environmental monitoring, and target tracking, relying on sensor nodes that are joined cooperatively. The research investigates localization algorithms for both target and node in WSNs to enhance accuracy. An innovative localization algorithm characterized as an asynchronous time-of-arrival (TOA) target is proposed by implementing a differential evolution algorithm. Unlike available approaches, the proposed algorithm employs the least squares criterion to represent signal-sending time as a function of the target position. Th

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Chang, Shengming, Youming Li, Yucheng He, and Yongqing Wu. "RSS-Based Target Localization in Underwater Acoustic Sensor Networks via Convex Relaxation." Sensors 19, no. 10 (2019): 2323. http://dx.doi.org/10.3390/s19102323.

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The received signal strength (RSS) based target localization problem in underwater acoustic wireless sensor networks (UWSNs) is considered. Two cases with respect to target transmit power are considered. For the first case, under the assumption that the reference of the target transmit power is known, we derive a novel weighted least squares (WLS) estimator by using an approximation to the RSS expressions, and then transform the originally non-convex problem into a mixed semi-definite programming/second-order cone programming (SD/SOCP) problem for reaching an efficient solution. For the second

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Laily Yusof, Azita, Ainnur Eiza Azhar, and Norsuzila Ya’acob. "Self-select target neighboring base station assisted handover for natural disaster in LTE-A network." Indonesian Journal of Electrical Engineering and Computer Science 19, no. 1 (2020): 309. http://dx.doi.org/10.11591/ijeecs.v19.i1.pp309-316.

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This paper presents Self-Select Target Neighboring Base Station Assisted Handover for Natural Disaster in LTE-A Network. In this study, two parameters have been introduced which are known as received signal strength of user (RSS) and left over power of base station (LoP) in order to maintained good QoS of UE and prolong battery life of base station when there is power outage. A distance fraction coefficient (α) with value 0.2 has been introduced to RSS expression to improve the signal strength by reducing the area that the UE’s covered. Both parameters are used to calculate weighted-average sc

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Abed, Ahmed, and Ikhlas Abdel-Qader. "RSS-Fingerprint Dimensionality Reduction for Multiple Service Set Identifier-Based Indoor Positioning Systems." Applied Sciences 9, no. 15 (2019): 3137. http://dx.doi.org/10.3390/app9153137.

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Indoor positioning systems (IPS) have been recently adopted by many researchers for their broad applications in various Internet of Things (IoT) fields such as logistics, health, construction industries, and security. Received Signal Strength (RSS)-based fingerprinting approaches have been widely used for positioning inside buildings because they have a distinct advantage of low cost over other indoor positioning techniques. The signal power RSS is a function of the distance between the Mobile System (MS) and Access Point (AP), which varies due to the multipath propagation phenomenon and human

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Zhang, Yuanyuan, Huafeng Wu, Xiaojun Mei, et al. "Two-Phase Robust Target Localization in Ocean Sensor Networks Using Received Signal Strength Measurements." Sensors 21, no. 5 (2021): 1724. http://dx.doi.org/10.3390/s21051724.

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Target localization plays a vital role in ocean sensor networks (OSNs), in which accurate position information is not only a critical need of ocean observation but a necessary condition for the implementation of ocean engineering. Compared with other range-based localization technologies in OSNs, the received signal strength (RSS)-based localization technique has attracted widespread attention due to its low cost and synchronization-free nature. However, maintaining relatively good accuracy in an environment as dynamic and complex as the ocean remains challenging. One of the most damaging fact

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Azita, Laily Yusof, Eiza Azhar Ainnur, and Ya'acob Norsuzila. "Self-select target neighboring base station assisted handover for natural disaster in LTE-A network." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 19, no. 1 (2020): 309–16. https://doi.org/10.11591/ijeecs.v19.i1.pp309-316.

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This paper presents self-select target neighboring base station assisted handover for natural disaster in LTE-A Network. In this study, two parameters have been introduced which are known as received signal strength of user (RSS) and left over power of base station (LoP) in order to maintained good QoS of UE and prolong battery life of base station when there is power outage. A distance fraction coefficient (α) with value 0.2 has been introduced to RSS expression to improve the signal strength by reducing the area that the UE’s covered. Both parameters are used to calculate weighte

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Bala Subramanian, C., and G. Vijayalakshmi. "A Hybrid Privacy Preserving Scheme for Hotspots in Nested NEMO Based VANETs." Applied Mechanics and Materials 573 (June 2014): 605–11. http://dx.doi.org/10.4028/www.scientific.net/amm.573.605.

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Vehicular Ad-hoc NETwork (VANET) is an emerging technology. The integration of NEMO (NETwork MObility) with VANET is known as NEMO based VANETs. This combination supports the communication between the RSU (Road Side Unit) and Vehicles to provide the internet access through the public hotspots inside the public transportation systems. The travelers inside these systems can enjoy full internet access by using different Mobile Network Nodes (MNNs). Due to open nature of wireless system the physical layer attack can easily localize the MNNs by measuring their Received Signal Strength (RSS). The pr

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Le, Yanfen, Shijialuo Jin, Hena Zhang, Weibin Shi, and Heng Yao. "Fingerprinting Indoor Positioning Method Based on Kernel Ridge Regression with Feature Reduction." Wireless Communications and Mobile Computing 2021 (January 9, 2021): 1–12. http://dx.doi.org/10.1155/2021/6631585.

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An important goal of indoor positioning systems is to improve positioning accuracy as well as reduce power consumption. In this paper, we propose an indoor positioning method based on the received signal strength (RSS) fingerprint. The proposed method used a certain criterion to select fixed access points (FPs) in an offline phase instead of an online phase for location estimation. Principal component analysis (PCA) was applied to reduce the features of the RSS measurements but retain the most information possible for establishing the positioning model. Then, a kernel-based ridge regression me

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35

Iyoloma, Collins Iyaminapu, and Tamunotonye Sotonye Ibanibo. "Adaptive User Association through Signal and Power Threshold Adjustments between Sub-6 GHz and MmWave Bands." European Journal of Electrical Engineering and Computer Science 9, no. 2 (2025): 15–19. https://doi.org/10.24018/ejece.2025.9.2.697.

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In order to satisfy the various coverage and capacity needs of next-generation wireless networks, the sub-6 GHz and millimeter-wave (mmWave) frequency bands must be integrated. However, because of their different propagation characteristics, it is still difficult to ensure effective user association between various bands. In order to dynamically balance users across sub-6 GHz and mmWave tiers, this article suggests an adaptive user association approach based on Signal and Power Threshold Adjustments (SPTA). The suggested approach maximizes network performance and minimizes service delays by op

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Akinbolati, Akinsanmi, Yusuf Isiaq Omotosho, Idris Adamu, Muftahu Suleiman, and Sabiru Aminu Yaradua. "Pathloss Assessment of a Terrestrial Digital UHF Channel over Kano City, Nigeria." Nigerian Journal of Physics 33, S (2024): 15–22. http://dx.doi.org/10.62292/njp.v33(s).2024.228.

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Path loss assessment is an important factor in wireless communications to ensure quality of service. This study involves the measurement of Received Signal Strength (RSS) of Digital Terrestrial Television (DTTV) Star Times Station in Kano at 1 km intervals along three routes. Data were gathered during dry and wet season months in the year 2022. The path loss along the routes were computed based on the Okumura-Hata model. It was observed that path losses were higher during wet than dry season months. The result also indicates a higher negative correlation coefficient (R) of -0.745 between Line

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Akinbolati, Akinsanmi, Yusuf Isiaq Omotosho, Idris Adamu, Muftahu Suleiman, and Sabiru Aminu Yaradua. "Pathloss Assessment of a Terrestrial Digital UHF Channel over Kano City, Nigeria." Nigerian Journal of Physics 33, no. 2 (2024): 15–22. http://dx.doi.org/10.62292/njp.v33i2.2024.228.

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Path loss assessment is an important factor in wireless communications to ensure quality of service. This study involves the measurement of Received Signal Strength (RSS) of Digital Terrestrial Television (DTTV) Star Times Station in Kano at 1 km intervals along three routes. Data were gathered during dry and wet season months in the year 2022. The path loss along the routes were computed based on the Okumura-Hata model. It was observed that path losses were higher during wet than dry season months. The result also indicates a higher negative correlation coefficient (R) of -0.745 between Line

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38

Wang, Yifan, Jingxiang Gao, Zengke Li, and Long Zhao. "Robust and Accurate Wi-Fi Fingerprint Location Recognition Method Based on Deep Neural Network." Applied Sciences 10, no. 1 (2020): 321. http://dx.doi.org/10.3390/app10010321.

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Currently, indoor locations based on the received signal strength (RSS) of Wi-Fi are attracting more and more attention thanks to the technology’s low cost, low power consumption and wide availability in mobile devices. However, the accuracy of Wi-Fi positioning is limited, due to the signal fluctuation and indoor multipath interference. In order to overcome this problem, this paper proposes a robust and accurate Wi-Fi fingerprint location recognition method based on a deep neural network (DNN). A stacked denoising auto-encoder (SDAE) is used to extract robust features from noisy RSS to constr

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Chen, Rung-Ching, Yu-Cheng Lin, Sheng-Ling Huang, and Qiangfu Zhao. "Using Radio Frequency Identification for Indoor Location Identification Based on Power Level, Signal Strength and Fuzzy Method." Journal of Advanced Computational Intelligence and Intelligent Informatics 15, no. 9 (2011): 1287–98. http://dx.doi.org/10.20965/jaciii.2011.p1287.

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In recent years, there has been a dramatic proliferation of research concerned with Radio Frequency Identification (RFID). RFID technologies are getting considerable attention not only from academic research but also from the applications for enterprise. One of the most important application issues prevailing throughout the last few decades of RFID application research is the indoor position location. Many researchers have used varied technologies to perform the action of indoor position location tracking. In our research, we propose a new method using RFID tags to perform indoor position loca

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L. N. Nguyen, Thu, Tuan D. Vy, and Yoan Shin. "An Efficient Hybrid RSS-AoA Localization for 3D Wireless Sensor Networks." Sensors 19, no. 9 (2019): 2121. http://dx.doi.org/10.3390/s19092121.

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Wireless sensor networks (WSNs) enable many applications such as intelligent control, prediction, tracking, and other communication network services, which are integrated into many technologies of the Internet-of-Things. The conventional localization frameworks may not function well in practical environments since they were designed either for two-dimensional space only, or have high computational costs, or are sensitive to measurement errors. In order to build an accurate and efficient localization scheme, we consider in this paper a hybrid received signal strength and angle-of-arrival locali

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Hussein, Wala'a, Nor K. Noordin, Kamil Audah, Mod Fadlee B. A. Rasid, Alyani Binti Ismail, and Aymen Flah. "Cascaded and Separate Channel Estimation based on CNN for RIS-MIMO Systems." Engineering, Technology & Applied Science Research 14, no. 3 (2024): 14768–74. http://dx.doi.org/10.48084/etasr.7499.

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With the dramatic increase in mobile users and wireless devices accessing the network, the performance of 5G wireless communication systems is severely challenged. Reconfigurable Intelligent Surface (RIS) has received much attention as one of the promising technologies for 6G due to its ease of deployment, low power consumption, and low price. This study aims to improve accuracy, reliability, and the capacity to estimate channel characteristics between transmitter and receiver. However, this is practically challenging for the following reasons. Due to the lack of active components for baseband

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Miss., Prajakta B. Patil, and A. N. Jadhav Dr. "Comparative Analysis of AODV Base and RSSI Base Wireless Sensor Node Localization Techniques." International Journal of Trend in Scientific Research and Development 2, no. 4 (2018): 1348–53. https://doi.org/10.31142/ijtsrd14301.

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Measurement based node localization algorithms exploit the measurements of the received signals' characteristics such as RSSI Received signal strength . Using the RSS measurement, the distance between any sensors' pair could be obtained by converting the power loss due to propagation from a sensor to another based on some propagation laws. Unfortunately, due to the probable presence of noise and interference, the distance's estimate would befar from being accurate, thereby leading to unreliable localization accuracy. The proposed approach can provide the deployment uniformly of kno

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Costa, Marcelo Salgueiro, Slavisa Tomic, and Marko Beko. "An SOCP Estimator for Hybrid RSS and AOA Target Localization in Sensor Networks." Sensors 21, no. 5 (2021): 1731. http://dx.doi.org/10.3390/s21051731.

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This work addresses the problem of target localization in three-dimensional wireless sensor networks (WSNs). The proposed algorithm is based on a hybrid system that employs angle of arrival (AOA) and received signal strength (RSS) measurements, where the target’s transmit power is considered as an unknown parameter. Although both cases of a known and unknown target’s transmit power have been addressed in the literature, most of the existing approaches for unknown transmit power are either carried out recursively, or require a high computational cost. This results in an increased execution time

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Shi, Ke, Zhenjie Ma, Rentong Zhang, Wenbiao Hu, and Hongsheng Chen. "Support Vector Regression Based Indoor Location in IEEE 802.11 Environments." Mobile Information Systems 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/295652.

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The wide spread of the 802.11-based wireless technology brings about a good opportunity for the indoor positioning system. In this paper, we present a new 802.11-based indoor positioning method using support vector regression (SVR), which consists of offline training stage and online location stage. The model that describes the relations between the position and the received signal strength (RSS) of the mobile device is established at the offline training stage by SVR, and at the online location stage the exact position is determined by this model. Due to the complex indoor environment, RSS is

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Magiera, Jarosław. "Detection and Direction-of-Arrival Estimation of Weak Spread Spectrum Signals Received with Antenna Array." Electronics 10, no. 21 (2021): 2566. http://dx.doi.org/10.3390/electronics10212566.

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This paper presents a method for the joint detection and direction of arrival (DOA) estimation of low probability of detection (LPD) signals. The proposed approach is based on using the antenna array to receive spread-spectrum signals hidden below the noise floor. Array processing exploits the spatial correlation between phase-delayed copies of the signal and allows us to evaluate the parameter used to make the decision about the presence of LPD transmission. The DOA estimation is based on the covariance between signals received by sensors for the fixed geometry of the antenna array. Moreover,

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Upton, David W., Keyur K. Mistry, Peter J. Mather, et al. "A Review of Techniques for RSS-Based Radiometric Partial Discharge Localization." Sensors 21, no. 3 (2021): 909. http://dx.doi.org/10.3390/s21030909.

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The lifespan assessment and maintenance planning of high-voltage power systems requires condition monitoring of all the operational equipment in a specific area. Electrical insulation of electrical apparatuses is prone to failure due to high electrical stresses, and thus it is a critical aspect that needs to be monitored. The ageing process of the electrical insulation in high voltage equipment may accelerate due to the occurrence of partial discharge (PD) that may in turn lead to catastrophic failures if the related defects are left untreated at an initial stage. Therefore, there is a require

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47

M., I. Youssef, E. Emam A., and Abd Elghany M. "Image multiplexing using residue number system coding over MIMO-OFDM communication system." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 6 (2019): 4815–25. https://doi.org/10.11591/ijece.v9i6.pp4815-4825.

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Image transmission over Orthogonal Frequency-Division Multiplexing (OFDM) communication system is prone to distortion and noise due to the encountered High-Peak-to-Average-Power-Ratio (PAPR) generated from the OFDM block. This paper studies the utilization of Residue Number System (RNS) as a coding scheme for digital image transmission over Multiple Input Multiple Output (MIMO) – OFDM transceiver communication system. The use of the independent parallel feature of RNS, as well as the reduced signal amplitude to convert the input signal to parallel smaller residue signals, enable to reduc

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48

Vallet García, José. "Characterization of the Log-Normal Model for Received Signal Strength Measurements in Real Wireless Sensor Networks." Journal of Sensor and Actuator Networks 9, no. 1 (2020): 12. http://dx.doi.org/10.3390/jsan9010012.

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Using the classical received signal strength (RSS)-distance log-normal model in wireless sensor network (WSN) applications poses a series of characteristic challenges derived from (a) the model’s structural limitations when it comes to explaining real observations, (b) the inherent hardware (HW) variability typically encountered in the low-cost nodes of WSNs, and (c) the inhomogeneity of the deployment environment. The main goal of this article is to better characterize how these factors impact the model parameters, an issue that has received little attention in the literature. For that matter

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Pamukti, Brian, Miftakhul Meiliana Rahmawati, and Nachwan Mufti Adriansyah. "Impact of The Number of Light Emitting Diode Towards The Accuracy in Indoor Positioning System Based on Visible Light Communication." Jurnal Elektronika dan Telekomunikasi 20, no. 2 (2020): 70. http://dx.doi.org/10.14203/jet.v20.70-75.

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This research detects the random position with received signal strength (RSS) method based on the received power in the room with a size of 5×5×3 cubic meter and several numbers of light emitting diode (LEDs). The first scenario uses 4 LEDs, the second scenario uses 6 LEDs and the third scenario uses 8 LEDs. Random points as the detector are placed spread at the room as many as 25 points. The simulation result shows that the use of more LEDs reduces the positioning error and increases the accuracy. If the accuracy reduces, the positioning error increase and affect the detection results. Using

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Jovalekic, Nikola, Vujo Drndarevic, Ermanno Pietrosemoli, and Iain Zennaro. "Experimental Study of LoRa Transmission over Seawater." Sensors 18, no. 9 (2018): 2853. http://dx.doi.org/10.3390/s18092853.

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Low Power Wide Area Networks (LPWANs) are gaining attention in both academia and industry by offering the possibility of connecting a large number of nodes over extended distances. LoRa is one of the technologies used as a physical layer in such networks. This paper investigates the LoRa links over seawater in two typical scenarios: clear Line-of-Sight (LOS) and obstructed path in two different Industrial, Scientific and Medical (ISM) radio bands: 868 MHz and 434 MHz. We used three different LoRa devices in the experiments: the Own Developed LoRa Transceiver (ODT) and two commercial transceive

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