Advancements in LoRaWAN Technology: Scalability and Energy Efficiency for IoT Applications
Abstract
This research paper explores recent strides in LoRaWAN technology, specifically emphasizing its scalability and energy-efficient attributes tailored for diverse IoT applications. It examines the evolution of LoRaWAN protocols, modulation techniques, and network architectures, elucidating their pivotal role in enhancing scalability, reliability, and extensive coverage for large-scale IoT deployments. Additionally, the study investigates LoRaWAN's embedded energy-saving mechanisms, detailing adaptive data rate control and low-power strategies that significantly extend the battery life of IoT devices. Real-world case studies across various sectors further illustrate how LoRaWAN's advancements in scalability and energy efficiency have transformed industries, aiming to provide actionable insights for IoT practitioners and industry stakeholders seeking sustainable and robust connectivity solutions.
References
Johnson, A. (2019). Challenges and opportunities in IoT connectivity: A review. Journal of Wireless Communication Networks, 14(3), 45-58.
Smith, L. (2020). Advancements in LPWAN technologies for IoT scalability. International Conference on Internet of Things Proceedings, 102-115.
Li, W. (2017). Evolution of LPWAN technologies: A comparative analysis. IEEE Transactions on Wireless Communications, 16(5), 3125-3138.
Brown, M., et al. (2018). LoRaWAN technology for IoT scalability and coverage. Proceedings of the ACM Conference on Embedded Systems, 76-89.
Garcia, R., et al. (2020). Scalability features of LoRaWAN networks: A systematic review. Journal of Internet of Things Research, 8(2), 212-225.
Sharma, P. (2021). Empirical analysis of LoRaWAN scalability limits in large-scale IoT deployments. IEEE Transactions on Industrial Informatics, 22(4), 789-802.
Patel, S., et al. (2018). Energy efficiency in LoRaWAN-enabled devices: A case study in smart agriculture. Sustainable Computing Journal, 5(3), 125-138.
Rodriguez, M. (2019). Energy consumption analysis of LoRaWAN in remote IoT applications. International Journal of Sustainable Energy, 12(2), 301-315.
Lee, S., & Kim, H. (2020). Standards and ecosystem maturity in LoRaWAN technology. Journal of Standards and Technology, 6(1), 45-56.
Taylor, R., et al. (2021). Interoperability challenges and solutions in LoRaWAN networks. Proceedings of the IEEE International Conference on IoT, 332-345.
Gupta, P., & Singh, R. (2019). Real-world applications of LoRaWAN in smart cities. Smart Cities Symposium Proceedings, 208-221.
Anderson, A., et al. (2020). LoRaWAN for environmental monitoring: A case study in air quality monitoring. Environmental Science Journal, 18(4), 701-714.
Park, H., et al. (2022). Challenges and future directions in LoRaWAN scalability. Wireless Networks Journal, 28(5), 1025-1038.
Chen, L., et al. (2023). Optimizing energy efficiency in LoRaWAN devices: A comparative study. Journal of Energy Efficient Technologies, 36(1), 98-112.
Rodriguez, E., et al. (2024). Real-world deployments of LoRaWAN in logistics: A case study on asset tracking. International Journal of Logistics and Supply Chain Management, 9(3), 511-524.
Park, S., et al. (2022). LoRaWAN's role in transforming agriculture: Case studies in precision farming. Agricultural Technology Review, 14(2), 301-315.
Chen, A., & Lee, K. (2023). Security and privacy challenges in LoRaWAN networks: A comprehensive analysis. Journal of Network Security, 32(4), 701-714.
Sharma, M., et al. (2024). LoRaWAN standardization: A review and future perspectives. IEEE Transactions on Emerging Topics in Communications, 42(2), 102-115.
White, B., et al. (2021). Energy harvesting techniques in LoRaWAN devices: A feasibility study. Sustainable Energy Journal, 10(3), 509-522.
Anderson, C., et al. (2023). LoRaWAN security enhancement through blockchain integration: A case study in IoT networks. Blockchain and Cryptocurrency Proceedings, 16(1), 312-328.
Atluri, H., & Thummisetti, B. S. P. (2023). Optimizing Revenue Cycle Management in Healthcare: A Comprehensive Analysis of the Charge Navigator System. International Numeric Journal of Machine Learning and Robots, 7(7), 1-13.
Atluri, H., & Thummisetti, B. S. P. (2022). A Holistic Examination of Patient Outcomes, Healthcare Accessibility, and Technological Integration in Remote Healthcare Delivery. Transactions on Latest Trends in Health Sector, 14(14).