The Internet of Things (IoT) is rapidly developing with the promotion of new technologies such as LoRa, which offers extensive coverage, low power consumption, and strong anti-interference capabilities. This study focuses on the application of LoRa technology in multi-floor home environments, particularly addressing the challenges of signal multipath propagation. We conducted comprehensive measurements of LoRa signal strength and path loss across different floors and rooms. Through our path loss model analysis, notable differences were observed in Line-of-Sight (LOS) and Non-Line-of-Sight (NLOS) environments, with initial path loss values of 58.32 decibels and 51.52 decibels, respectively, and standard deviations of 18.42 decibels for LOS and 2.84 decibels for NLOS. Temporal fading analysis, using Rayleigh and Rician distributions, revealed significant variations in signal strength between daytime and nighttime, with some rooms being more stable during the daytime and others more stable at nighttime due to differences in the architectural structure and functionality of various rooms within the home environment. Packet reception rate (PRR) ranged from 89.07% to 99.89%, highlighting the reliability of data transmission under different conditions. This research fills a critical gap in the literature by providing empirical data on indoor multi-floor home environments and significantly contributes by verifying and modeling path loss and temporal fading, thereby improving the design and deployment strategies for LoRa-based smart home systems.
KeywordsLoRaSmart HomePath Loss ModeRicianRayleighPacket Reception Rate
You, I., Pau, G., Salerno, V.M. and Sharma, V. (2019) Special Issue ‘Internet of Things for Smart Homes’. Sensors , 19, Article 4173. https://doi.org/10.3390/s19194173
Opipah, S., Qodim, H., Miharja, D., Hamidi, E.A.Z. and Juhana, T. (2020) Prototype Design of Smart Home System Base on LoRa. 2020 6 th International Conference on Wireless and Telematics ( ICWT ), Yogyakarta, 3-4 September 2020, 1-5. https://doi.org/10.1109/ICWT50448.2020.9243643
Zhong, C. and Nie, X. (2024) A Novel Single-Channel Edge Computing LoRa Gateway for Real-Time Confirmed Messaging. Scientific Reports , 14, Article No. 8369. https://doi.org/10.1038/s41598-024-59058-8
Zhong, C., Nie, X.Z. and Peng, P. (2024) Novel Power Conservation Methods for LoRa-Based Infrared Sensors in Smart Building. IEEE Sensors Journal , 24, 15311-15326.
Kamann, A., Held, P., Perras, F., Zaumseil, P., Brandmeier, T. and Schwarz, U. (2018) Automotive Radar Multipath Propagation in Uncertain Environments. 2018 21 st In ternational Conference on Intelligent Transportation Systems ( ITSC ), Maui , HI , USA , 4-7 November 2018, 859-864. https://doi.org/10.1109/ITSC.2018.8570016
Tozlu, S. (2011) Feasibility of Wi-Fi Enabled Sensors for Internet of Things. 2011 7 th International Wireless Communications and Mobile Computing Conference , Istanbul, 4-8 July 2011, 291-296. https://doi.org/10.1109/IWCMC.2011.5982548
Ramya, C.M., Shanmugaraj, M. and Prabakaran, R. (2011) Study on Zig-Bee Technology. 2011 3 rd International Conference on Electronics Computer Technology , Kanyakumari, 8-10 April 2011, 297-301. https://doi.org/10.1109/ICECTECH.2011.5942102
Danbatta, S.J. and Varol, A. (2019) Comparison of Zigbee, Z-Wave, Wi-Fi, and Bluetooth Wireless Technologies Used in Home Automation. 2019 7 th International Symposium on Digital Forensics and Security ( ISDFS ), Barcelos, 10-12 June 2019, 1-5. https://doi.org/10.1109/ISDFS.2019.8757472
Pham, C. and Ehsan, M. (2021) Dense Deployment of LoRa Networks: Expectations and Limits of Channel Activity Detection and Capture Effect for Radio Channel Access. Sensors , 21, Article 825. https://doi.org/10.3390/s21030825
Shea, S. (2017) LPWAN (Low-Power Wide Area Network). https://www.techtarget.com/iotagenda/definition/LPWAN-low-power-wide-area-network
Durgin, G., Rappaport, T. and Xu, H. (1998) Measurements and Models for Radio Path Loss and Penetration Loss in and around Homes and Trees at 5.85 GHz. IEEE Transactions on Communications , 46, 1484-1496. https://doi.org/10.1109/26.729393
Rashdan, I., De Ponte Muller, F., Jost, T., Sand, S. and Caire, G. (2019) Large-Scale Fading Characteristics and Models for Vehicle-to-Pedestrian Channel at 5-GHz. IEEE Access , 7, 107648-107658. https://doi.org/10.1109/ACCESS.2019.2933264
Tang, P., Zhang, J., Molisch, A., Smith, P., Shafi, M. and Tian, L. (2018) Estimation of the K-Factor for Temporal Fading from Single-Snapshot Wideband Measurements. IEEE Transactions on Vehicular Technology , 68, 49-63. https://doi.org/10.1109/TVT.2018.2878352
Tang, W., Chen, M., Chen, X., Dai, J., Han, Y., Di Renzo, M., Zeng, Y., Jin, S., Cheng, Q. and Cui, T. (2020) Wireless Communications with Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement. IEEE Transactions on Wireless Communications , 20, 421-439. https://doi.org/10.1109/TWC.2020.3024887
Sulyman, A., Alwarafy, A., Maccartney, G., Rappaport, T. and Alsanie, A. (2016) Directional Radio Propagation Path Loss Models for Millimeterwave Wireless Networks in the 28-, 60-, and 73-GHz Bands. IEEE Transactions on Wireless Communications , 15, 6939-6947. https://doi.org/10.1109/TWC.2016.2594067
Muqaibel, A., Safaai-Jazi, A., Attiya, A., Woerner, B. and Riad, S. (2006) Path-Loss and Time Dispersion Parameters for Indoor UWB Propagation. IEEE Transactions on Wireless Communications , 5, 550-559. https://doi.org/10.1109/TWC.2006.1611085
Ding, T., Ding, M., Mao, G., Lin, Z. and Lopez-Perez, D. (2015) Uplink Performance Analysis of Dense Cellular Networks with LoS and NLoS Transmissions. IEEE Transactions on Wireless Communications , 15, 2365-2380. https://doi.org/10.1109/TWC.2015.2503391
Santos, P.M., Abrudan, T. and Aguiar, A. (2014) Impact of Position Errors on Path loss Model Estimation for Device-to-Device Channels. IEEE Transactions on Wireless Communications , 13, 2353-2361. https://doi.org/10.1109/TWC.2014.040214.131082
Kyro, M., Haneda, K., Simola, J., Nakai, K., Takizawa, K., Hagiwara, H. and Vainikainen, P. (2011) Measurement Based Path Loss and Delay Spread Modeling in Hospital Environments at 60 GHz. IEEE Transactions on Wireless Communications , 10, 2423-2427. https://doi.org/10.1109/TWC.2011.062211.101601
Ding, T., Ding, M., Mao, G., Lin, Z. and Lopez-Perez, D. (2017) Uplink Performance Analysis of Dense Cellular Networks with LoS and NLoS Transmissions. IEEE Transactions on Wireless Communications , 16, 2601-2613. https://doi.org/10.1109/TWC.2017.2669023
Linka, H., Rademacher, M. and Aliu, O. (2018) Path Loss Models for Low-Power Wide-Area Networks: Experimental Results Using LoRa. VDE ITG - Fachbericht Mobilkommunikation , Osnabrück, 16 May 2018, 1-33.
Yang, A., He, Z., Xing, C., Fei, Z. and Kuang, J. (2015) The Role of Largescale Fading in Uplink Massive Mimo Systems. IEEE Transactions on Vehicular Technology , 65, 477-483. https://doi.org/10.1109/TVT.2015.2397553
Van Chien, T., Mollen, C. and Bjornson, E. (2018) Large-Scale-Fading Decoding in Cellular Massive Mimo Systems with Spatially Correlated Channels. IEEE Transactions on Communications , 67, 2746-2762. https://doi.org/10.1109/TCOMM.2018.2889090
Chen, Z., Sohrabi, F. and Yu, W. (2021) Sparse Activity Detection in Multicell Massive Mimo Exploiting Channel Large-Scale Fading. IEEE Transactions on Signal Processing , 69, 3768-3781. https://doi.org/10.1109/TSP.2021.3090679
Fengler, A., Haghighatshoar, S., Jung, P. and Caire, G. (2021) Non-Bayesian Activity Detection, Large-Scale Fading Coefficient Estimation, and Unsourced Random Access with a Massive Mimo Receiver. IEEE Transactions on Information Theory , 67, 2925-2951. https://doi.org/10.1109/TIT.2021.3065291
Chen, L., Loschonsky, M. and Reindl, L. (2010) Large-Scale Fading Model for Mobile Communications in Disaster and Salvage Scenarios. 2010 International Conference on Wireless Communications & Signal Processing ( WCSP ), Suzhou, 21-23 October 2010, 1-5. https://doi.org/10.1109/WCSP.2010.5633059
Agrawal, P. and Patwari, N. (2009) Correlated Link Shadow Fading in Multihop Wireless Networks. IEEE Transactions on Wireless Communications , 8, 4024-4036. https://doi.org/10.1109/TWC.2009.071293
Chandrasekaran, G., Ergin, M., Gruteser, M., Martin, R., Yang, J. and Chen, Y. (2009) Decode: Exploiting Shadow Fading to Detect Comoving Wireless Devices. IEEE Transactions on Mobile Computing , 8, 1663-1675. https://doi.org/10.1109/TMC.2009.131
Abdi, A. and Kaveh, M. (2011) A Comparative Study of Two Shadow Fading Models in Ultrawideband and Other Wireless Systems. IEEE Transactions on Wireless Communications , 10, 1428-1434. https://doi.org/10.1109/TWC.2011.031611.100309
Reig, J. and Rubio, L. (2013) Estimation of the Composite Fast Fading and Shadowing Distribution Using the Log-Moments in Wireless Communications. IEEE Transactions on Wireless Communications , 12, 3672-3681. https://doi.org/10.1109/TWC.2013.050713.120054
Chen, Y., Cheng, W. and Zhang, W. (2023) Reconfigurable Intelligent Surface Equipped UAV in Emergency Wireless Communications: A New Fading-Shadowing Model and Performance Analysis. IEEE Transactions on Communications , 72, 1821-1834. https://doi.org/10.1109/TCOMM.2023.3336223
Liu, L., Yao, Y., Cao, Z. and Zhang, M. (2021) DeepLoRa: Learning Accurate Path Loss Model for Long Distance Links in LPWAN. IEEE INFOCOM 2021— IEEE Conf erence on Computer Communications , Vancouver, 10-13 May 2021, 1-10. https://doi.org/10.1109/INFOCOM42981.2021.9488784
Rademacher, M., Linka, H., Horstmann, T. and Henze, M. (2021) Path Loss in Urban Lora Networks: A Large-Scale Measurement Study. 2021 IEEE 94th Vehicular Technology Conference ( VTC 2021- Fall ), Norman, 27-30 September 2021, 1-6. https://doi.org/10.1109/VTC2021-Fall52928.2021.9625531
Budi, B. (2024) Distance Testing on Point to Point Communication with Lora Based on Rssi and Log Normal Shadowing Model. Journal of Energy and Electrical Engineering , 5, 89-93.
Masadan, N., Habaebi, M. and Yusoff, S. (2018) LoRa LPWAN Propagation Channel Modelling in IIUM Campus. 2018 7 th International Conference on Computer and Communication Engineering ( ICCCE ), Kuala Lumpur, 19-20 September 2018, 14-19. https://doi.org/10.1109/ICCCE.2018.8539327
Anzum, R., Habaebi, M., Islam, M., Hakim, G., Khandaker, M., Osman, H., Alamri, S. and Abdelrahim, E. (2022) A Multiwall Path-Loss Prediction Model Using 433 MHz LoRa-WAN Frequency to Characterize Foliage’s Influence in a Malaysian Palm Oil Plantation Environment. Sensors , 22, Article 5397. https://doi.org/10.3390/s22145397
González-Palacio, M., Tobón-Vallejo, D., Sepúlveda-Cano, L.M., Rúa, S., Pau, G. and Le, L.B. (2022) LoRaWAN Path Loss Measurements in an Urban Scenario Including Environmental Effects. Data , 8, Article 4. https://doi.org/10.3390/data8010004
Geng, Z. and Deng, H. (2022) Wireless Signal Propagation Path Loss Estimation. 2014 IEEE Antennas and Propagation Society International Symposium ( APSURSI ), Memphis, 6-11 July 2014, 953-954.
Kurt, S. and Tavli, B. (2017) Path-Loss Modeling for Wireless Sensor Networks: A Review of Models and Comparative Evaluations. IEEE Antennas and Propagation Magazine , 59, 18-37. https://doi.org/10.1109/MAP.2016.2630035
Watson, G. (1967) Linear Least Squares Regression. The Annals of Mathematical Statistics , 38, 1679-1699. https://doi.org/10.1214/aoms/1177698603
Lee, J. and Baccelli, F. (2018) On the Effect of Shadowing Correlation on Wireless Network Performance. IEEE INFOCOM 2018— IEEE Conference on Computer Communications , Honolulu, 16-19 April 2018, 1601-1609. https://doi.org/10.1109/INFOCOM.2018.8485965
Alouini, M.-S. and Simon, M. (2002) Dual Diversity over Correlated Lognormal Fading Channels. IEEE Transactions on Communications , 50, 1946-1959. https://doi.org/10.1109/TCOMM.2002.806552
Xu, W., Kim, J., Huang, W., Kanhere, S., Jha, S. and Hu, W. (2019) Measurement, Characterization, and Modeling of Lora Technology in Multifloor Buildings. IEEE Internet of Things Journal , 7, 298-310. https://doi.org/10.1109/JIOT.2019.2946900
Al-Noor, N.H. and Assi, N.K. (2020) Rayleigh-Rayleigh Distribution: Properties and Applications. Journal of Physics : Conference Series , 1591, Article 012038. https://doi.org/10.1088/1742-6596/1591/1/012038
Karakuş, O., Kuruoglu, E. and Achim, A. (2021) A Modification of Rician Distribution for SAR Image Modelling. https://doi.org/10.20944/preprints202010.0209.v1
Ren, M., Zhang, Q. and Zhang, J. (2019) An Introductory Survey of Probability Density Function Control. Systems Science & Control Engineering , 7, 158-170. https://doi.org/10.1080/21642583.2019.1588804
Minh, H., Lavane, K., Lanh, L., Thinh, L., Cong, N., Ty, T., Downes, N. and Kumar, P. (2022) Developing Intensity-Duration-Frequency (IDF) Curves Based on Rainfall Cumulative Distribution Frequency (CDF) for Can Tho City, Vietnam. Earth , 3, 866-880. https://doi.org/10.3390/earth3030050
Abdi, A., Tepedelenlioglu, C., Kaveh, M. and Giannakis, G. (2001) On the Estimation of the K Parameter for the Rice Fading Distribution. IEEE Communications Letters , 5, 92-94. https://doi.org/10.1109/4234.913150
Katircioğlu, O., Isel, H., Ceylan, O., Taraktas, F. and Yagci, H.B. (2011) Comparing Ray Tracing, Free Space Path Loss and Logarithmic Distance Path Loss Models in Success of Indoor Localization with RSSI. 2011 19 th Telecommunications Forum ( TELFOR ) Proceedings of Papers , Belgrade, 22-24 November 2011, 313-316. https://doi.org/10.1109/TELFOR.2011.6143552
Batalha, I.S., Castro, B.S.L., Lopes, A.V.R., Pelaes, E.G. and Cavalcante, G.P.S. (2015) Cross-Layer Modeling for Video Quality Loss on WLANs. 2015 9 th European Conference on Antennas and Propagation ( EuCAP ), Lisbon, 13-17 April 2015, 1-5.
Agarwal, R. (2020) Pythagorean Triples before and after Pythagoras. Computation , 8, Article 62. https://doi.org/10.3390/computation8030062