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Journal articles on the topic 'Measurement RSSI'

Author: Grafiati

Published: 28 June 2021

Last updated: 29 July 2025

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1

Nauvaldi, Syafrizal, F. Trias Pontia, and Neilcy Tjahjamooniarsih. "ANALYSIS OF WI-FI NETWORK QUALITY IN TANJUNGPURA UNIVERSITY LIBRARY BUILDING." Telecommunications, Computers, and Electricals Engineering Journal 1, no. 1 (2023): 13. http://dx.doi.org/10.26418/telectrical.v1i1.69799.

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Tanjungpura University Library Building as a place that is often crowded with students who use Wi-Fi networks, requires good Wi-Fi signal quality to support smooth and efficient internet access to various digital resources.Wi-Fi data retrieval is inside the Tanjungpura University Library Building, Measuring RSSI (Received Signal Strength Indicator) parameters in the Tanjungpura University Library Building area using the application G-NetWi-Fi, where measurements are carried out by the walk test method using the G-NetWi-Fi application, Make data analysis and conclusions from the results of meas

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Wei, Zhe, and Zhanpeng Zhou. "A Combined Filtering Method for ZigBee Indoor Distance Measurement." Sensors 24, no. 10 (2024): 3164. http://dx.doi.org/10.3390/s24103164.

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Indoor distance measurement technology utilizing Zigbee’s Received Signal Strength Indication (RSSI) offers cost-effective and energy-efficient advantages, making it widely adopted for indoor distance measurement applications. However, challenges such as multipath effects, signal attenuation, and signal blockage often degrade the accuracy of distance measurements. Addressing these issues, this study proposes a combined filtering approach integrating Kalman filtering, Dixon’s Q-test, Gaussian filtering, and mean filtering. Initially, the method evaluates Zigbee’s transmission power, channel, an

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Sianturi, Libianko, Sahat Parulian, and Polinus Tarigan. "Perancangan Penempatan Wireless Agar Memenuhi Akses Poin Dari Beberapa Titik Aplikasi di Fakultas Teknik UHN." Jurnal ELPOTECS 5, no. 1 (2022): 28–37. http://dx.doi.org/10.51622/elpotecs.v5i1.1113.

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The failure of the strong cover of wifi signals in building L floors 1, 2, 3, and 4 occurred due to the lack of installation of AP on each floor. The research was conducted by surveying and taking direct measurements in the coverage area (coverage area) that has been determined, namely in building L floors 1, 2, 3, and 4 at the Technical Faculty of HKBP Nommensen University Medan. Measurement data was obtained using measurement instruments, namely inSSIDer software, Acer Aspire 4736Z laptop with windows 7 ultimate SP 1 32 bit operating system. Survey data produces parameters that will be proce

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Araujo, Jéssyca I. L., Alexandre J. R. Serres, and Danilo F. S. Santos. "RFID System for Respiratory Rate Monitoring." ITM Web of Conferences 48 (2022): 01005. http://dx.doi.org/10.1051/itmconf/20224801005.

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In this work, an RFID system was developed to monitor the respiratory rate. This monitoring was based on variations in the Received Signal Strength Indicator (RSSI) by the reader due to respiratory movements. In some breath measurement configurations, the maximum read range was greater than 1 m, which is the distance considered in the measurement configurations described in some scientific papers. The RSSI data, obtained by reading the RFID tag, were processed using the Daubechies wavelet of order 3 (db3) and considering three levels of signal decomposition. Less noisy breathing signals were o

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Chruszczyk, Łukasz. "Statistical Analysis of Indoor RSSI Read-outs for 433 MHz, 868 MHz, 2.4 GHz and 5 GHz ISM Bands." International Journal of Electronics and Telecommunications 63, no. 1 (2017): 33–38. http://dx.doi.org/10.1515/eletel-2017-0005.

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Abstract This paper presents statistical analysis of RSSI read-outs recorded in indoor environment. Many papers concerning indoor location, based on RSSI measurement, assume its normal probability density function (PDF). This is partially excused by relation to PDF of radio-receiver's noise and/or together with influence of AWGN (average white Gaussian noise) radio-channel – generally modelled by normal PDF. Unfortunately, commercial (usually unknown) methods of RSSI calculations, typically as “side-effect” function of receiver's AGC (automatic gain control), results in PDF being far different

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GP, Rajeshwari, Prathick Vasan G, Ramanarayanan C, and Elango K. "Boat Detection and Tracking Using RSSI Signal in A Device-Free Environment." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 1154–61. http://dx.doi.org/10.22214/ijraset.2022.42532.

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Abstract: This project presents a device-free human detection method for using Received Signal Strength Indicator (RSSI) measurement of Wireless Sensor Network (WSN) with packet dropout based on ZigBee. Packet loss is observed to be a familiar phenomenon with transmissions of WSNs. The packet reception rate (PRR) based on a large number of data packets cannot reflect the real-time link quality accurately. So, it raises a real-time RSSI link quality evaluation method based on the exponential smoothing method. Then, a device-free human detection method is proposed. Compared to conventional solut

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Zhu, Lin Na, and Hai Feng Jiang. "A Kind of Improved Triangle Centroid Algorithm Based on RSSI-Ranged." Advanced Materials Research 317-319 (August 2011): 1114–18. http://dx.doi.org/10.4028/www.scientific.net/amr.317-319.1114.

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Node self-localization is one of the key technologies in the wireless sensor networks. The localization technology based on RSSI is a focus studied at the present stage. For the localization error of RSSI-ranged method is relatively great, a kind of triangle centroid algorihms based on RSSI-ranged is proposed. The simulation results show that measurement error of this algorithm effective decrease as to tranditional triangle centroid algorithm based on RSSI-ranged.

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Wang, Haijing, Fangfang Zhang, and Wenli Zhang. "Human Detection through RSSI Processing with Packet Dropout in Wireless Sensor Network." Journal of Sensors 2020 (September 21, 2020): 1–9. http://dx.doi.org/10.1155/2020/4758103.

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This paper presents a device-free human detection method for using Received Signal Strength Indicator (RSSI) measurement of Wireless Sensor Network (WSN) with packet dropout based on ZigBee. Packet loss is observed to be a familiar phenomenon with transmissions of WSNs. The packet reception rate (PRR) based on a large number of data packets cannot reflect the real-time link quality accurately. So this paper firstly raises a real-time RSSI link quality evaluation method based on the exponential smoothing method. Then, a device-free human detection method is proposed. Compared to conventional so

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Kawecki, Robert, Sławomir Hausman, and Piotr Korbel. "Performance of Fingerprinting-Based Indoor Positioning with Measured and Simulated RSSI Reference Maps." Remote Sensing 14, no. 9 (2022): 1992. http://dx.doi.org/10.3390/rs14091992.

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Numerous indoor positioning technologies and systems have been proposed to localize people and objects in large buildings. Wi-Fi and Bluetooth positioning systems using fingerprinting have gained popularity, due to the wide availability of existing infrastructure. Unfortunately, the implementation of fingerprinting-based methods requires time-consuming radio surveys to prepare databases (RSSI maps) that serve as a reference for the radio signal. These surveys must be conducted for each individual building. Here, we investigate the possibility of using simulated RSSI maps with fingerprinting-ba

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Santoso, Budy. "PENGARUH KEBERADAAN OBJEK MANUSIA TERHADAP STABILITAS RECEIVED SIGNAL STRENGTH INDICATOR (RSSI) PADA BLUETOOTH LOW ENERGY 4.0 (BLE)." Telematika 13, no. 1 (2016): 11. http://dx.doi.org/10.31315/telematika.v13i1.1715.

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There are many systems with diverse technologies such as GPS, Wi-Fi, Bluetooth, Zigbee, Ultra Wide Band, Ultrasound, Infrared can be used for location-based services. Of these technologies can be developed several applications for positioning purposes such as monitoring patients in hospitals or elderly people who are undergoing treatment at home. This paper proposes a simple method to estimate the presence of the object / user in a fixed area using parameter Received Signal Strength Indicator (RSSI) on Bluetooth 4.0 Low Energy (BLE). To determine the performance of the RSSI, conducted two expe

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Yadnya, Made Sutha, I. G. P. Wedashwara Wedarama, and I. Wayan Sudiarta. "Pengukuran Kekuatan Sinyal Receive Strangth Signal Indicator (RSSI) 4.5G VoLTE Provaider Telkomsel di Universitas Mataram." JURNAL SAINS TEKNOLOGI & LINGKUNGAN 8, no. 2 (2022): 115–23. http://dx.doi.org/10.29303/jstl.v8i2.375.

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This is an initial study to determine the quality of the 4.5G VoLTE signal in the area around the University of Mataram campus. This is done to get the Receive Strangth Signal Indicator (RSSI) measurement emitted by the Base Transceiver Station (BTS) owned by the Telkomsel provider at FMIPA because the VoLTE signal is unstable. The measurement method used is the drive-test. But the results are not entirely as desired. Because in some places it turns out that the quality of receiving power is very weak. Measurements obtained by drive-test carried out in the morning, afternoon, evening and night

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Dolha, Stelian, Paul Negirla, Florin Alexa, and Ioan Silea. "Considerations about the Signal Level Measurement in Wireless Sensor Networks for Node Position Estimation." Sensors 19, no. 19 (2019): 4179. http://dx.doi.org/10.3390/s19194179.

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Wireless Sensor Networks (WSN) are widely used in different monitoring systems. Given the distributed nature of WSN, a constantly increasing number of research studies are concentrated on some important aspects: maximizing network autonomy, node localization, and data access security. The node localization and distance estimation algorithms have, as their starting points, different information provided by the nodes. The level of signal strength is often such a starting point. A system for Received Signal Strength Indicator (RSSI) acquisition has been designed, implemented, and tested. In this

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ARYANTA, DWI. "Analisis Kinerja Subscriber Station WiMAX di Urban Area Bandung." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 1, no. 2 (2013): 128. http://dx.doi.org/10.26760/elkomika.v1i2.128.

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ABSTRAKTeknologi komunikasi wireless semakin pesat mengalami perkembangan. WiMAX merupakan suatu teknologi broadband yang didukung oleh standar IEEE 802.16d (802.16-2004) yang mampu memberikan layanan data berkecepatan tinggi hingga 75 Mbps dalam radius maksimal 40-50 km pada bandwidth 20 MHz. Alokasi frekuensi yang dipakai Indonesia untuk jaringan WiMAX ini ialah 3,3 – 3,4 GHz. Penelitian ini dilakukan dengan melakukan proses pengukuran kinerja perangkat radio WiMAX yaitu HiMax 331-SS. Proses pengukuran dilakukan antara CPE dan base station dengan antenna sektoral 1200 pada ketinggian 45 m. L

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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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Budianto, Arif, Hanana Fadila Nurul Yaqin, Suaibatul Islamiah, et al. "Identifikasi Pengaruh Laju Alir Udara Terhadap Performa Efisiensi Aliran PM dalam Sistem Blower ESP Berbasis IoT." Lambda Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya 5, no. 1 (2025): 162–68. https://doi.org/10.58218/lambda.v5i1.1243.

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One of the air emission mitigation efforts is the development of electrostatic precipitator (ESP)-based filtration. On the other hand, this method requires further identification of the effect of flow rate on the resulting efficiency level. Therefore, this study aims to identify the best flow rate in a low-power, small-scale miniature ESP system based on ESP, with the application of IoT technology in real-time and accurate data monitoring. The study was conducted in a closed chamber using an IoT-based flow rate measurement system (anemometer). The flow rate was varied into two categories, name

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Le, Anh Tuyen, Le Chung Tran, Xiaojing Huang, et al. "Unbalanced Hybrid AOA/RSSI Localization for Simplified Wireless Sensor Networks." Sensors 20, no. 14 (2020): 3838. http://dx.doi.org/10.3390/s20143838.

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Source positioning using hybrid angle-of-arrival (AOA) estimation and received signal strength indicator (RSSI) is attractive because no synchronization is required among unknown nodes and anchors. Conventionally, hybrid AOA/RSSI localization combines the same number of these measurements to estimate the agents’ locations. However, since AOA estimation requires anchors to be equipped with large antenna arrays and complicated signal processing, this conventional combination makes the wireless sensor network (WSN) complicated. This paper proposes an unbalanced integration of the two measurements

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Yang, Wei, Chundi Xiu, Jiarui Ye, et al. "LSS-RM: Using Multi-Mounted Devices to Construct a Lightweight Site-Survey Radio Map for WiFi Positioning." Micromachines 9, no. 9 (2018): 458. http://dx.doi.org/10.3390/mi9090458.

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A WiFi-received signal strength index (RSSI) fingerprinting-based indoor positioning system (WiFi-RSSI IPS) is widely studied due to advantages of low cost and high accuracy, especially in a complex indoor environment where performance of the ranging method is limited. The key drawback that limits the large-scale deployment of WiFi-RSSI IPS is time-consuming offline site surveys. To solve this problem, we developed a method using multi-mounted devices to construct a lightweight site-survey radio map (LSS-RM) for WiFi positioning. A smartphone was mounted on the foot (Phone-F) and another on th

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Ohara, Kenichi, Yuji Abe, Tomohito Takubo, Yasushi Mae, Tamio Tanikawa, and Tatsuo Arai. "Range Estimation Technique Using Received Signal Strength Indication on Low Frequency Waves." Journal of Robotics and Mechatronics 23, no. 4 (2011): 466–74. http://dx.doi.org/10.20965/jrm.2011.p0466.

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Recently, with the downsizing of computers and the development of wireless communication advances, sensor networks are being widely studied. However, it is necessary to know the location of each node, in order to apply sensor data. Many researchers have tried to find a good approach to position estimation in indoor environment. In our study, we focus on position estimation by using Received Signal Strength Indication (RSSI). It has the advantage of implementation with limited resources in the sensor network. However, since RSSI value is affected by multipath and obstacles, position estimation

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Ramirez, Ramiro, Chien-Yi Huang, Che-An Liao, Po-Ting Lin, Hsin-Wei Lin, and Shu-Hao Liang. "A Practice of BLE RSSI Measurement for Indoor Positioning." Sensors 21, no. 15 (2021): 5181. http://dx.doi.org/10.3390/s21155181.

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Bluetooth Low Energy (BLE) is one of the RF-based technologies that has been utilizing Received Signal Strength Indicators (RSSI) in indoor position location systems (IPS) for decades. Its recent signal stability and propagation distance improvement inspired us to conduct this project. Beacons and scanners used two Bluetooth specifications, BLE 5.0 and 4.2, for experimentations. The measurement paradigm consisted of three segments, RSSI–distance conversion, multi-beacon in-plane, and diverse directional measurement. The analysis methods applied to process the data for precise positioning inclu

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Ramadhani, Afifah Dwi, Achmad Ilham Imanuddin, and Kholidiyah Masykuroh. "ANALISA SISTEM POSITIONING OBJEK PADA AREA INDOOR BERBASIS BLE DAN RASPBERRY PI." Jurnal RESISTOR (Rekayasa Sistem Komputer) 5, no. 1 (2022): 17–25. http://dx.doi.org/10.31598/jurnalresistor.v5i1.925.

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BLE technology can assist in indoor positioning system (IPS) applications. The IPS has an important role in determining the position of objects that are useful for monitoring or tracking. One of the methods is trilateration by utilizing the RSSI value between the transmitter and receiver to calculate the distance. In addition, we can use indoor paths loss modeling to calculate the distance. However, the RSSI method still has weaknesses due to fluctuations in measurement values caused by the effect of multipath and attenuation on the signal. So that there will be an error while we estimate the

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Vadivukkarasi, K., and R. Kumar. "Investigations on real time RSSI based outdoor target tracking using kalman filter in wireless sensor networks." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 2 (2020): 1943. http://dx.doi.org/10.11591/ijece.v10i2.pp1943-1951.

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Target tracking is essential for localization and many other applications in Wireless Sensor Networks (WSNs). Kalman filter is used to reduce measurement noise in target tracking. In this research TelosB motes are used to measure Received Signal Strength Indication (RSSI). RSSI measurement doesn’t require any external hardware compare to other distance estimation methods such as Time of Arrival (TOA), Time Difference of Arrival (TDoA) and Angle of Arrival (AoA). Distances between beacon and non-anchor nodes are estimated using the measured RSSI values. Position of the non-anchor node is estima

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K., Vadivukkarasi, and Kumar R. "Investigations on real time RSSI based outdoor target trackingusing kalman filter in wireless sensor networks." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 2 (2020): 1943–51. https://doi.org/10.11591/ijece.v10i2.pp1043-1951.

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Target tracking is essential for localization and many other applications in Wireless Sensor Networks (WSNs). Kalman filter is used to reduce measurement noise in target tracking. In this research TelosB motes are used to measure Received Signal Strength Indication (RSSI). RSSI measurement doesn"t require any external hardware compare to other distance estimation methods such as Time of Arrival (TOA), Time Difference of Arrival (TDoA) and Angle of Arrival (AoA). Distances between beacon and non-anchor nodes are estimated using the measured RSSI values. Position of the nonanchor node is estimat

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Xu, Jiuqiang, Wei Liu, Fenggao Lang, Yuanyuan Zhang, and Chenglong Wang. "Distance Measurement Model Based on RSSI in WSN." Wireless Sensor Network 02, no. 08 (2010): 606–11. http://dx.doi.org/10.4236/wsn.2010.28072.

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Zheng, Jungang, Chengdong Wu, Hao Chu, and Yang Xu. "An Improved RSSI Measurement In Wireless Sensor Networks." Procedia Engineering 15 (2011): 876–80. http://dx.doi.org/10.1016/j.proeng.2011.08.162.

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Xue, Weixing, Weining Qiu, Xianghong Hua, and Kegen Yu. "Improved Wi-Fi RSSI Measurement for Indoor Localization." IEEE Sensors Journal 17, no. 7 (2017): 2224–30. http://dx.doi.org/10.1109/jsen.2017.2660522.

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Wahyudi, Sopian Ari, Rahadi Wirawan, Arif Budianto, and Susi Rahayu. "Design of a Frequency Controller System for UHF Radio Wave Receiver Device." KONSTAN - JURNAL FISIKA DAN PENDIDIKAN FISIKA 9, no. 01 (2024): 1–8. http://dx.doi.org/10.20414/konstan.v9i01.477.

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Frequency is fundamental in data communication for transmitter and receiver stations. The most common problem found in the data communication is the signal quality measurement. A LoRa module, as one of the wireless devices with UHF (Ultra High Radio) frequencies, has extended range frequencies and signal strength parameters (RSSI, Received Signal Strength Indicator). RSSI parameter on signal bandwidth and the distance between stations. However, there is no supporting research in terms of the RSSI quality and short-distance variations. In line with this, this study aims to design a frequency co

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Mubaraq, Ahmad Ridhani, Wawan Joko Pranoto, and Abdul Hallim. "Wireless Network Quality Analysis Using RMA and RSSI Methods at BPKAD Berau District." Journal of Computer Networks, Architecture and High Performance Computing 7, no. 2 (2025): 503–13. https://doi.org/10.47709/cnahpc.v7i2.5718.

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Wireless networks are now essential in supporting government operations, including at the BPKAD office in the Berau district. However, problems like unstable connections and slow speeds often arise as obstacles. This study aims to evaluate the quality of the wireless network in the BPKAD asset room of the Berau district by applying the Reliability, Maintainability, and Availability (RMA) and Received Signal Strength Indication (RSSI). Quantitative research method. The research population is all wireless access points (Wi-Fi) spread across the BPKAD office. The research sample is the asset fiel

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Cao, Meng Long, and Chong Xin Yang. "A Localization Algorithm for Wireless Sensor Network Based on the Weighted Correction in Geometric Measurement." Applied Mechanics and Materials 740 (March 2015): 823–29. http://dx.doi.org/10.4028/www.scientific.net/amm.740.823.

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Firstly, the characteristics of regular Zigbee localization algorithms-the received signal strength indicator algorithm (RSSI) and the weighted centroid localization algorithm are introduced. Then, the factors of the errors existing in the aforementioned algorithms are analyzed. Based on these above, the improved RSSI algorithm-correction geometric measurement based on weighted is proposed. Finally, utilizing this algorithm to design and implement the localization nodes, which have the CC2431 wireless microcontroller on them. The simulation and experimental results show that the accuracy of th

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Choi, SuGil, GunHo Lee, and SungChul Hong. "Location Information Measurement Experiment Involving Chemical Rescue Team Trainers Using RSSI and Trilateration." Fire Science and Engineering 39, no. 1 (2025): 59–68. https://doi.org/10.7731/kifse.98db9446.

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Training evaluations related to chemical terrorism rely on videos that are shot with action cameras and smartphones, making objective evaluations difficult owing to blocked visibility, haze, and the inability to accurately track location. Accordingly, to objectively analyze the movement path and training capabilities of chemical rescuers indoors, an experiment was conducted to measure the location information of chemical rescuers using the received signal strength indicator (RSSI) triangulation method and analyze location accuracy by installing beacons indoors for accuracy analysis. The experi

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Nur, Siti, and Muhammad Ashfaq. "A Hybrid Localization Algorithm for Enhanced Accuracy and Robustness in Healthcare Systems." International Journal of Innovative Research in Computer Science and Technology 12, no. 4 (2024): 110–16. http://dx.doi.org/10.55524/ijircst.2024.12.4.17.

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This paper presents a novel hybrid localization algorithm designed for healthcare systems, integrating Received Signal Strength Indicator (RSSI) and Time of Arrival (ToA) measurements with machine learning techniques. The algorithm aims to enhance the accuracy, robustness, and computational efficiency of sensor localization in dynamic healthcare environments. Experimental results demonstrate that the hybrid algorithm achieves a significantly lower localization error, averaging 0.5 meters, compared to traditional RSSI-only and ToA-only methods. The algorithm's rapid convergence and low computat

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Zaidi, Monji, Imen Bouazzi, Mohammed Usman, Mohammed Zubair Mohammed Shamim, Ninni Singh, and Vinit Kumar Gunjan. "Cooperative Scheme ToA-RSSI and Variable Anchor Positions for Sensors Localization in 2D Environments." Complexity 2022 (May 18, 2022): 1–11. http://dx.doi.org/10.1155/2022/5069254.

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To rich good accuracy in the 2D area for wireless sensor network (WSN) nodes, a localization method has to be selected. The objective of this paper is first to select which localization technique is required (Received Signal Strength Indicator (RSSI)) or (Time of Arrival (ToA)) against anchors placement in a 2D area. Depending on whether the anchor nodes are spaced or not and inspired by the idea of using the RSSI method for small distances and the ToA method for greater distances, we will show which method should be used for the positioning process which mainly guarantees a minimal localizati

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Cama-Pinto, Dora, Juan Antonio Holgado-Terriza, Miguel Damas-Hermoso, Francisco Gómez-Mula, and Alejandro Cama-Pinto. "Radio Wave Attenuation Measurement System Based on RSSI for Precision Agriculture: Application to Tomato Greenhouses." Inventions 6, no. 4 (2021): 66. http://dx.doi.org/10.3390/inventions6040066.

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Precision agriculture and smart farming are concepts that are acquiring an important boom due to their relationship with the Internet of Things (IoT), especially in the search for new mechanisms and procedures that allow for sustainable and efficient agriculture to meet future demand from an increasing population. Both concepts require the deployment of sensor networks that monitor agricultural variables for the integration of spatial and temporal agricultural data. This paper presents a system that has been developed to measure the attenuation of radio waves in the 2.4 GHz free band (ISM- Ind

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Cama-Pinto, Dora, Juan Antonio Holgado-Terriza, Miguel Damas-Hermoso, Francisco Gómez-Mula, and Alejandro Cama-Pinto. "Radio Wave Attenuation Measurement System Based on RSSI for Precision Agriculture: Application to Tomato Greenhouses." Inventions 6, no. 4 (2021): 66. http://dx.doi.org/10.3390/inventions6040066.

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Precision agriculture and smart farming are concepts that are acquiring an important boom due to their relationship with the Internet of Things (IoT), especially in the search for new mechanisms and procedures that allow for sustainable and efficient agriculture to meet future demand from an increasing population. Both concepts require the deployment of sensor networks that monitor agricultural variables for the integration of spatial and temporal agricultural data. This paper presents a system that has been developed to measure the attenuation of radio waves in the 2.4 GHz free band (ISM- Ind

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Pham, Doan Tinh, Huy Hoang Bui, and Duc Cuong Nguyen. "A genetic based indoor positioning algorithm using Wi-Fi received signal strength and motion data." International Journal of Artificial Intelligence (IJ-AI) 12, no. 1 (2023): 328–46. https://doi.org/10.11591/ijai.v12.i1.pp328-346.

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The recent trend in location-based services has led to a proliferation of studies in indoor positioning technology. Wi-Fi received signal strength indicator (RSSI) Fingerprinting and pedestrian dead reckoning (PDR) are the two best representatives from both approaches. This research proposed a genetic algorithm to combine Wi-Fi Fingerprinting and PDR. By taking advantage of PDR and genetic algorithm, we only need to collect a limited number of points for the fingerprint dataset with known coordinates, then target trajectories' position can be estimated with high accuracy. Results from our

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Mamun, Md Abdulla Al, David Vera Anaya, Fan Wu, and Mehmet Rasit Yuce. "Landmark-Assisted Compensation of User’s Body Shadowing on RSSI for Improved Indoor Localisation with Chest-Mounted Wearable Device." Sensors 21, no. 16 (2021): 5405. http://dx.doi.org/10.3390/s21165405.

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Nowadays, location awareness becomes the key to numerous Internet of Things (IoT) applications. Among the various methods for indoor localisation, received signal strength indicator (RSSI)-based fingerprinting attracts massive attention. However, the RSSI fingerprinting method is susceptible to lower accuracies because of the disturbance triggered by various factors from the indoors that influence the link quality of radio signals. Localisation using body-mounted wearable devices introduces an additional source of error when calculating the RSSI, leading to the deterioration of localisation pe

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Wang, Xiao Ying, and Ying Ge Chen. "Mine Location Algorithm Based on Multiple Linear Regression." Applied Mechanics and Materials 58-60 (June 2011): 1830–35. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.1830.

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This paper put forward a mine location algorithm based on multiple linear regression, which using only simple RSSI value to get a higher location accuracy under long narrow and sensitive mine environment. General RSSI measurement method and its drawbacks are discussed in the paper. In order to acquire smaller location error, we filtered some abnormal RSSI data through Gaussian filter method. And we deduced regression equation according to multiple linear regression principle. Combined with training sample, we got their regression parameter. We did relevant location experiment again in the same

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Abd-ElKhaliq, S., M. Faied, R. Aboul Seoud, and A. Gody. "Distance and Error Measurement for Wireless Sensor Network System Localization Using RSSI Measurement." International Conference on Electrical Engineering 11, no. 11 (2018): 1–14. http://dx.doi.org/10.21608/iceeng.2018.30116.

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Hossain, Ferdous, Tan Kim Geok, Tharek Abd Rahman, et al. "Indoor 3-D RT Radio Wave Propagation Prediction Method: PL and RSSI Modeling Validation by Measurement at 4.5 GHz." Electronics 8, no. 7 (2019): 750. http://dx.doi.org/10.3390/electronics8070750.

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This article introduces an efficient analysis of indoor 4.5 GHz radio wave propagation by using a proposed three-dimensional (3-D) ray-tracing (RT) modeling and measurement. The attractive facilities of this frequency band have significantly increased in indoor radio wave communication systems. Radio propagation predictions by simulation method based on a site-specific model, such as RT is widely used to categorize radio wave channels. Although practical measurement provides accurate results, it still needs a considerable amount of resources. Hence, a computerized simulation tool would be a go

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Bullmann, Markus, Toni Fetzer, Frank Ebner, Markus Ebner, Frank Deinzer, and Marcin Grzegorzek. "Comparison of 2.4 GHz WiFi FTM- and RSSI-Based Indoor Positioning Methods in Realistic Scenarios." Sensors 20, no. 16 (2020): 4515. http://dx.doi.org/10.3390/s20164515.

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With the addition of the Fine Timing Measurement (FTM) protocol in IEEE 802.11-2016, a promising sensor for smartphone-based indoor positioning systems was introduced. FTM enables a Wi-Fi device to estimate the distance to a second device based on the propagation time of the signal. Recently, FTM has gotten more attention from the scientific community as more compatible devices become available. Due to the claimed robustness and accuracy, FTM is a promising addition to the often used Received Signal Strength Indication (RSSI). In this work, we evaluate FTM on the 2.4 GHz band with 20 MHz chann

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Joana Halder, Sharly, and Wooju Kim. "A Fusion Approach of RSSI and LQI for Indoor Localization System Using Adaptive Smoothers." Journal of Computer Networks and Communications 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/790374.

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Due to the ease of development and inexpensiveness, indoor localization systems are getting a significant attention but, with recent advancement in context and location aware technologies, the solutions for indoor tracking and localization had become more critical. Ranging methods play a basic role in the localization system, in which received signal strength indicator- (RSSI-) based ranging technique gets the most attraction. To predict the position of an unknown node, RSSI measurement is an easy and reliable method for distance estimation. In indoor environments, the accuracy of the RSSI-bas

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Rizki Akbar Rabbani, Adil Nurhaqqi, Redi Ratiandi Yacoub, and Jannus Marpaung. "ANALYSIS THE IMPACT OF ENCLOSING VARIOUS MATERIALS ON THE STRENGTH OF WIFI SIGNAL RECEPTION." Journal of Electrical Engineering, Energy, and Information Technology (J3EIT) 11, no. 2 (2023): 9. http://dx.doi.org/10.26418/j3eit.v11i2.68584.

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Installation Wi-Fi is sometimes hindered by obstacles such as wood, concrete, and glass. The presence of these materials may affect the signal strength received by the user. Therefore, research was carried out by enclosing router using PVC, acrylic and glass materials with a thickness of 2mm, 3mm and 5mm and a distance of 2m, 4m, 6m, 8m, 10m, 12m, 10.2m and 11.4m for RSSI measurements and Quality of Service at a distance of 12m and 11.4m in the morning, afternoon and evening. The measurement results show a decrease in RSSI depending on the obstacle and distance. This is because the signal expe

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Usman, Saifudin, Rizqia Lestika Atimi, Muh Anhar, and Anto Susanto. "Low-Cost LoRaWAN Solution for Groundwater Monitoring in Peatlands." Journal of Information Systems and Informatics 6, no. 4 (2024): 2777–93. https://doi.org/10.51519/journalisi.v6i4.923.

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Some efforts made in restoring peatlands include moisture restoration, replanting, hydrological restoration, monitoring, and evaluation using technology to obtain periodic condition data. The implementation of the Water Level Logger (WLL) for monitoring groundwater levels in peatlands still faces issues because the sensor installation points are not served by cellular communication networks for data transmission. This research aims to implement a Low Power Wide Area Network (LPWAN) as a low-cost infrastructure used in applications for monitoring water levels in peatland. The method in this res

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Yang, Ning, Shao Shan Zhong, and Hai Ting Zhu. "A Method of Calculating Attenuation Factor Based on RFID." Advanced Materials Research 718-720 (July 2013): 1711–16. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.1711.

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As the indoor environment is complex,the attenuation model is imprecise.and the wireless location system is inaccurate.It is a effective method calculating attenuation factor with different distance RSSI data and selecting proper reference distance for solving single reference distance defect. The experiment verified that it can modify distance measurement mode and improve the accuracy and reliability of indoor distance measurement based on RFID.

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Ma, Yu Feng, Shan Liu, and Jian Ping Chai. "Research on 3D Positioning Indoor Simulation Based on RSSI." Applied Mechanics and Materials 696 (November 2014): 247–52. http://dx.doi.org/10.4028/www.scientific.net/amm.696.247.

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The growing demand for location-based services promote the development of positioning technology, but the traditional two-dimensional positioning has not fully meet the actual demand, three-dimensional positioning and has more practical significance and application prospects. RSSI-based ranging technology is a low-cost distance measurement technology and low complexity, has been widely used in wireless networks based on the distance of positioning technology. In this paper, through detailed analysis and Research on the effect of RSSI, simulation implemented based indoor positioning. Experiment

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Gou, Pingzhang, Bo He, and Zhaoyang Yu. "A Node Location Algorithm Based on Improved Whale Optimization in Wireless Sensor Networks." Wireless Communications and Mobile Computing 2021 (September 16, 2021): 1–17. http://dx.doi.org/10.1155/2021/7523938.

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With the popularity of swarm intelligence algorithms, the positioning of nodes to be located in wireless sensor networks (WSNs) has received more and more attention. To overcome the disadvantage of large ranging error and low positioning accuracy caused by the positioning algorithm of the received signal strength indication (RSSI) ranging model, we use the RSSI modified by Gaussian to reduce the distance measurement error and introduce an improved whale optimization algorithm to optimize the location of the nodes to be positioned to improve the positioning accuracy. The experimental results sh

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Kang, Jinsu, Jeonghoon Seo, and Yoojae Won. "Ephemeral ID Beacon-Based Improved Indoor Positioning System." Symmetry 10, no. 11 (2018): 622. http://dx.doi.org/10.3390/sym10110622.

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Recently, the rapid development of mobile devices and communication technologies has dramatically increased the demand for location-based services that provide users with location-oriented information and services. User location in outdoor spaces is measured with high accuracy using GPS. However, because the indoor reception of GPS signals is not smooth, this solution is not viable in indoor spaces. Many on-going studies are exploring new approaches for indoor location measurement. One popular technique involves using the received signal strength indicator (RSSI) values from the Bluetooth Low

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Cho, Seong Yun. "Measurement Error Observer-Based IMM Filtering for Mobile Node Localization Using WLAN RSSI Measurement." IEEE Sensors Journal 16, no. 8 (2016): 2489–99. http://dx.doi.org/10.1109/jsen.2015.2512590.

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Ji, Qiang, Shifeng Zhang, and Haoguang Zhao. "Research on Optimization Algorithm of RSSI Positioning Parameters Based on Improved Particle Swarm Optimization." MATEC Web of Conferences 227 (2018): 02024. http://dx.doi.org/10.1051/matecconf/201822702024.

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The paper put forward to an algorithm based on hybrid mutation particle optimization swarm strategy (HMPOA), it can solve the position coordinates of the unknown nodes. The algorithm uses static sampling to determine the performance index values of particles, then the arc grouping method is used to divide the particle swarm into several subgroups. Finally, the hybrid mutation strategy is used to improve the convergence speed and positioning accuracy of the algorithm, which can overcome the location accuracy of unknown node that overly dependent on the RSSI physical measurement value. Numerical

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Ma, Zhenjie, and Ke Shi. "Few-Shot Learning for WiFi Fingerprinting Indoor Positioning." Sensors 23, no. 20 (2023): 8458. http://dx.doi.org/10.3390/s23208458.

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In recent years, deep-learning-based WiFi fingerprinting has been intensively studied as a promising technology for providing accurate indoor location services. However, it still demands a time-consuming and labor-intensive site survey and suffers from the fluctuation of wireless signals. To address these issues, we propose a prototypical network-based positioning system, which explores the power of few-shot learning to establish a robust RSSI-position matching model with limited labels. Our system uses a temporal convolutional network as the encoder to learn an embedding of the individual sam

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Veigt, Marius, Elisabeth Hardi, Michael Koerdt, Axel S. Herrmann, and Michael Freitag. "Investigation of using RFID for cure monitoring of glass fiber-reinforced plastics." Production Engineering 14, no. 4 (2020): 499–507. http://dx.doi.org/10.1007/s11740-020-00972-x.

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Abstract Fiber composite components play an important role in the turnaround in energy policy as well as in stopping global warming. Therefore, it is essential to improve the manufacturing efficiency of these components. RFID technology is spreading to digitize and organize processes in production and logistics more efficiently. Since cure monitoring is a crucial factor in the manufacturing of composite components, the question arises whether the RFID technology is applicable for cure monitoring. This paper presents two methods of how an into glass fiber-reinforced plastics integrated RFID tra

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