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Publication search results
found 636 matches
- 2024
- Hoang Vo, Van Hoang Long Nguyen, Van Lic Tran, Fabien Ferrero, Fang-Yi Lee, Meng-Hsun Tsai:
Advance Path Loss Model for Distance Estimation Using LoRaWAN Network's Received Signal Strength Indicator (RSSI). IEEE Access 12: 83205-83216 (2024) - Albert Selebea Lutakamale, Herman C. Myburgh, Allan De Freitas:
A hybrid convolutional neural network-transformer method for received signal strength indicator fingerprinting localization in Long Range Wide Area Network. Eng. Appl. Artif. Intell. 133: 108349 (2024) - Samaneh Motie, Hadi Zayyani, Mehdi Korki:
IRS-Aided Received Signal Strength Localization Using a Wireless Sensor Network. IEEE Commun. Lett. 28(5): 1039-1042 (2024) - Suganya Pandarinathan, R. K. Jeyachitra:
Optimization of received signal strength in visible light communication using the combination of heuristic algorithms. Int. J. Commun. Syst. 37(7) (2024) - Mrinmoy Sen, Indrajit Banerjee, Tuhina Samanta:
Received signal strength-based power map generation in a 2-D obstructed wireless sensor network. Int. J. Inf. Commun. Technol. 24(4): 448-469 (2024) - M. Benisha, V. Thulasi Bai:
A multiple linear regression-based machine learning model for received signal strength prediction of multiband applications. Int. J. Mob. Commun. 23(2): 127-147 (2024) - Sneha Suresh Kumaran, Samson Jerold Samuel Chelladurai, K. B. Badri Narayanan, T. A. Selvan:
Prediction of received signal strength using the fuzzy Logic controller for localisation of Sensors in Mobile robots. Int. J. Robotics Autom. 39(4): 302-311 (2024) - Brenda S. de S. Barbosa, Hugo A. O. Da Cruz, Alex S. Macedo, Caio M. M. Cardoso, Filipe C. Fernandes, Leslye E. C. Eras, Jasmine Priscyla Leite De Araújo, Gervásio P. S. Calvacante, Fabrício J. B. Barros:
Application of Artificial Neural Networks for Prediction of Received Signal Strength Indication and Signal-to-Noise Ratio in Amazonian Wooded Environments. Sensors 24(8): 2542 (2024) - Leana Bouse, Scott A. King, Tianxing Chu:
Simplified Indoor Localization Using Bluetooth Beacons and Received Signal Strength Fingerprinting with Smartwatch. Sensors 24(7): 2088 (2024) - Zhe Tang, Sihao Li, Kyeong Soo Kim, Jeremy S. Smith:
Multi-Dimensional Wi-Fi Received Signal Strength Indicator Data Augmentation Based on Multi-Output Gaussian Process for Large-Scale Indoor Localization. Sensors 24(3): 1026 (2024) - Nour Zaarour, Nadir Hakem, Nahi Kandil:
An Accurate Anchor-Free Contextual Received Signal Strength Approach Localization in a Wireless Sensor Network. Sensors 24(4): 1210 (2024) - Ao Liu, Ian P. Roberts, Taneli Riihonen, Weixing Sheng:
Analog Beamforming for In-Band Full-Duplex Phased Arrays With Quantized Phase Shifters Under a Per-Antenna Received Power Constraint. IEEE Signal Process. Lett. 31: 1585-1589 (2024) - Chao Wang, Jiajun He, Wenxin Xiong, Hing Cheung So, Young Jin Chun:
Received Signal Strength Characterization in Mixed LOS and NLOS Environments. IEEE Trans. Aerosp. Electron. Syst. 60(4): 5613-5620 (2024) - Huthaifa A. Obeidat, Mohammed A. G. Al-Sadoon, Chemseddine Zebiri, Omar Obeidat, Issa T. E. Elfergani, Raed Abd-Alhameed:
Reduction of the received signal strength variation with distance using averaging over multiple heights and frequencies. Telecommun. Syst. 86(1): 201-211 (2024) - Ali Ihsan Tas, Mehmet Iscan, Berkay Gurkan, Cüneyt Yilmaz:
Adaptive elliptic trajectory-based received signal strength indicator antenna tracking algorithm. Trans. Inst. Meas. Control 46(11): 2077-2086 (2024) - O. Tansel Baydas, Özgür B. Akan:
Received Signal and Channel Parameter Estimation in Molecular Communications. IEEE Trans. Mol. Biol. Multi Scale Commun. 10(1): 92-97 (2024) - Ibraheem Abdelazeem, Weibin Zhang, Abdeldime Mohamedsalih, Mohamed Abdalwohab, Ahmedalmansour Abuobida:
A lossless quantization approach for physical-layer key generation in vehicular ad hoc networks based on received signal strength. Veh. Commun. 49: 100809 (2024) - Xiaoxue Rao, Xiao Yan, Qian Wang, Hsiao-Chun Wu, Yiyan Wu:
Novel Cooperative Automatic Modulation Classification Based on Received-Signal Quality. BMSB 2024: 1-7 - Ryuya Sembo, Junji Terai, Nobuhiko Miki:
Local 5G Received Signal Power Measurement in Presence of Building. ICAIIC 2024: 772-774 - Sixian Wang, Jincheng Dai, Kailin Tan, Xiaoqi Qin, Kai Niu, Ping Zhang:
DiffCom: Channel Received Signal is a Natural Condition to Guide Diffusion Posterior Sampling. CoRR abs/2406.07390 (2024) - 2023
- Koji Endo, Tomohiro Ishikawa, Kohei Yamamoto, Tomoaki Ohtsuki:
Multi-Person Position Estimation Based on Correlation Between Received Signals Using MIMO FMCW Radar. IEEE Access 11: 2610-2620 (2023) - Amang Sudarsono, Mike Yuliana:
An Anonymous Authentication With Received Signal Strength Based Pseudonymous Identities Generation for VANETs. IEEE Access 11: 15637-15654 (2023) - Rina Azoulay, Eliya Edery, Yoram Haddad, Orit Rozenblit:
Machine learning techniques for received signal strength indicator prediction. Intell. Data Anal. 27(4): 1167-1184 (2023) - Fahd Abuhoureyah, Yan Chiew Wong, Ahmad Sadhiqin Bin Mohd Isira, Mohammed Nasser Al-Andoli:
Free device location independent WiFi-based localisation using received signal strength indicator and channel state information. IET Wirel. Sens. Syst. 13(5): 163-177 (2023) - Ibrahim Aqeel, Ephraim Iorkyase, Hussein Zangoti, Christos Tachtatzis, Robert C. Atkinson, Ivan Andonovic:
LoRaWAN-implemented node localisation based on received signal strength indicator. IET Wirel. Sens. Syst. 13(4): 117-132 (2023) - Khondoker Ziaul Islam, David Murray, Dean Diepeveen, Michael G. K. Jones, Ferdous Sohel:
Machine learning-based LoRa localisation using multiple received signal features. IET Wirel. Sens. Syst. 13(4): 133-150 (2023) - Mohamed Khalil Baazaoui, Ilef Ketata, Ahmed Fakhfakh, Faouzi Derbel:
Modeling of Packet Error Rate Distribution Based on Received Signal Strength Indications in OMNeT++ for Wake-Up Receivers. Sensors 23(5): 2394 (2023) - Mehdi Eshagh:
Optimal Configuration for Monitoring Stations in a Wireless Localisation Network Based on Received Signal Strength Differences. Sensors 23(3): 1150 (2023) - Vienna N. Katambire, Richard Musabe, Alfred Uwitonze, Didacienne Mukanyiligira:
Battery-Powered RSU Running Time Monitoring and Prediction Using ML Model Based on Received Signal Strength and Data Transmission Frequency in V2I Applications. Sensors 23(7): 3536 (2023) - Aditi Paul, Somnath Sinha:
Received signal strength-based location verification technique in Wireless Sensor Network using Spline curve. J. Supercomput. 79(9): 10093-10116 (2023)
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