Enhancing IoT Network Reliability: Evaluating LoRa Module Susceptibility to Interference
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Abstract
The Internet of Things (IoT) is gaining popularity, leading to the widespread use of remote communication modules (LoRa), known for their energy efficiency and wide coverage range. However, as the number of LoRa modules used in IoT networks grows, the possibility of interference from third-party devices operating at the same frequency becomes a concern. This study aimed to examine the vulnerability of LoRa modules to electromagnetic interference (EMI) when transmitting text messages and images. Radiation emission conditions were measured in the test area for evaluating LoRa module performance, and susceptibility to interference was assessed under non-line-of-sight (NLOS) conditions. The study's outcomes reveal that interference with LoRa transmitters has no noticeable effect on the range within a distance of up to 50 meters. In contrast, the interference power required to disrupt the LoRa receiver decreases with increasing distance. Additionally, interference from frequencies outside the designated LoRa working frequency (915 MHz) has no discernible impact on module performance. Introducing a delivery delay check demonstrates consistent performance even in interference. These findings deepen our understanding of the susceptibility of LoRa modules to tampering, emphasizing the importance of implementing effective disruption management strategies in IoT deployments. By considering the potential impact of electromagnetic interference (EMI) on LoRa modules, developers can design more robust IoT networks, ensuring reliable communication and improved system performance. Overall, the research focuses on the interference characteristics of LoRa modules, providing insights for developing resilient and interference-resistant IoT solutions. It underscores the necessity of addressing interference issues to ensure the reliable operation of IoT devices across diverse environments.
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References
P. Sethi and S. R. Sarangi, "Internet of Things: Architectures, Protocols, and Applications," Journal of Electrical and Computer Engineering, vol. 2017, 2017, doi: 10.1155/2017/9324035.
R. Gupta and R. Gupta, "ABC of Internet of Things: Advancements, benefits, challenges, enablers and facilities of IoT," 2016 Symposium on Colossal Data Analysis and Networking, CDAN 2016, 2016, doi: 10.1109/CDAN.2016.7570875.
K. E. Nolan, W. Guibene, and M. Y. Kelly, "An evaluation of low power wide area network technologies for the Internet of Things," 2016 International Wireless Communications and Mobile Computing Conference, IWCMC 2016, pp. 439–444, 2016, doi: 10.1109/IWCMC.2016.7577098.
J. So, D. Kim, H. Kim, H. Lee, and S. Park, "LoRaCloud: LoRa platform on OpenStack," IEEE NETSOFT 2016 - 2016 IEEE NetSoft Conference and Workshops: Software-Defined Infrastructure for Networks, Clouds, IoT and Services, pp. 431–434, 2016, doi: 10.1109/NETSOFT.2016.7502471.
J. Petajajarvi, K. Mikhaylov, M. Hamalainen, and J. Iinatti, "Evaluation of LoRa LPWAN technology for remote health and wellbeing monitoring," International Symposium on Medical Information and Communication Technology, ISMICT, vol. 2016-June, 2016, doi: 10.1109/ISMICT.2016.7498898.
P. Hoegnelid and T. Kalling, "Internet of Things and Business Models Empirical Illustrations of How the Business Model Concept Helps Us to Understand Strategic Implications of Internet of Things Investments," 2015 IEEE 9th International Conference on Standardization and Innovation in Information Technology (SIIT), 2015.
J. P. Bardyn, T. Melly, O. Seller, and N. Sornin, "IoT: The era of LPWAN is starting now," European Solid-State Circuits Conference, vol. 2016-Octob, pp. 25–30, 2016, doi: 10.1109/ESSCIRC.2016.7598235.
J. Luo et al., "A Study on Adjacent Interference of LoRa," Proceedings - 2020 8th International Symposium on Computing and Networking Workshops, CANDARW 2020, pp. 35–39, 2020, doi: 10.1109/CANDARW51189.2020.00020.
A. Lavric and A. I. Petrariu, "LoRaWAN communication protocol: The new era of IoT," 2018 14th International Conference on Development and Application Systems, DAS 2018 - Proceedings, pp. 74–77, 2018, doi: 10.1109/DAAS.2018.8396074.
K. Wang, "Application of wireless sensor network based on LoRa in city gas meter reading," International Journal of Online Engineering, vol. 13, no. 12, pp. 104–115, 2017, doi: 10.3991/ijoe.v13i12.7887.
T. Elshabrawy and J. Robert, "The Impact of ISM Interference on LoRa BER Performance," 2018 IEEE Global Conference on Internet of Things, GCIoT 2018, pp. 1–5, 2019, doi: 10.1109/GCIoT.2018.8620142.
P. Edward, S. Elzeiny, M. Ashour, and T. Elshabrawy, "On the Coexistence of LoRa-and Interleaved Chirp Spreading LoRa-Based Modulations," International Conference on Wireless and Mobile Computing, Networking and Communications, vol. 2019-Octob, pp. 1–6, 2019, doi: 10.1109/WiMOB.2019.8923211.
L. Beltramelli, A. Mahmood, M. Gidlund, P. Osterberg, and U. Jennehag, "Interference Modelling in a Multi-Cell LoRa System," International Conference on Wireless and Mobile Computing, Networking and Communications, vol. 2018-Octob, pp. 1–8, 2018, doi: 10.1109/WiMOB.2018.8589100.
J. Lyu, D. Yu, and L. Fu, "Achieving Max-Min Throughput in LoRa Networks," 2020 International Conference on Computing, Networking and Communications, ICNC 2020, pp. 471–476, 2020, doi: 10.1109/ICNC47757.2020.9049729.
D. Croce, M. Gucciardo, S. Mangione, G. Santaromita, and I. Tinnirello, "Impact of LoRa Imperfect Orthogonality: Analysis of Link-Level Performance," IEEE Communications Letters, vol. 22, no. 4, pp. 796–799, 2018, doi: 10.1109/LCOMM.2018.2797057.
D. Kominami, Y. Hasegawa, K. Nogami, H. Shimonishi, and M. Murata, "Bayesian-based channel quality estimation method for LoRaWAN with unpredictable interference," 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings, 2020, doi: 10.1109/GLOBECOM42002.2020.9322136.
K. C. Wiklundh, "Understanding the IoT technology LoRa and its interference vulnerability," EMC Europe 2019 - 2019 International Symposium on Electromagnetic Compatibility, pp. 533–538, 2019, doi: 10.1109/EMCEurope.2019.8871966.
S. E. Lapinsky and A. C. Easty, "Electromagnetic interference in critical care," Journal of Critical Care, vol. 21, no. 3, pp. 267–270, 2006, doi: 10.1016/j.jcrc.2006.03.010.
S. Okuda and K. Ohno, "Influence of Interference among LoRa Systems under Indoor Environments," International Conference on Ubiquitous and Future Networks, ICUFN, vol. 2019-July, pp. 16–20, 2019, doi: 10.1109/ICUFN.2019.8806114.
D. Kucherov, A. Berezkin, and L. Onikienko, "Detection of Signals from a LoRa System under Interference Conditions," 2018 International Scientific-Practical Conference on Problems of Infocommunications Science and Technology, PIC S and T 2018 - Proceedings, pp. 437–441, 2019, doi: 10.1109/INFOCOMMST.2018.8632135.
M. Ahlberg, B. Lindmark, J. Simons, and C. Beckman, "Downlink propagation measurements in the GSM 900 and 1800 MHz bands," IEEE Antennas and Propagation Society International Symposium: Wireless Technologies and Information Networks, APS 1999 - Held in conjunction with USNC/URSI National Radio Science Meeting, vol. 3, pp. 1506–1509, 1999, doi: 10.1109/APS.1999.788229.
G. Wibisono, G. P. Saktiaji, and I. Ibrahim, "Techno economic analysis of smart meter reading implementation in PLN Bali using LoRa technology," 2017 International Conference on Broadband Communication, Wireless Sensors and Powering, BCWSP 2017, vol. 2018-Janua, pp. 1–6, 2018, doi: 10.1109/BCWSP.2017.8272578.
T. Anugraha, K. Anwar, and S. P. W. Jarot, "Cellular Communications-based Detection to Estimate Location of Victims Post-Disaster," 2019 Symposium on Future Telecommunication Technologies Cellular, vol. 2019-Novem, no. 1, pp. 1–5, 2019, doi: doi: 10.1109/SOFTT48120.2019.9068650.
Rosalina, R. Munadi, and A. Fahmi, "Coexistence LTE with GSM and UMTS - Performance analysis using seamcat simulation," 4th IEEE Conference on Communication, Networks and Satellite, COMNESTAT 2015 - Proceedings, pp. 68–73, 2016, doi: 10.1109/COMNETSAT.2015.7434287.
A. S. Yogapratama, U. K. Usman, and T. A. Wibowo, "Analysis on 900 MHz and 1800 MHz LTE network planning in rural area," 2015 3rd International Conference on Information and Communication Technology, ICoICT 2015, pp. 135–139, 2015, doi: 10.1109/ICoICT.2015.7231410.