Impact and Innovations of Azure IoT: Current Applications, Services, and Future Directions
Creators
- 1. Department of Computer Science, Florida Atlantic University, Boca Raton, USA.
Description
Abstract: Azure IoT, developed by Microsoft, is a leading platform in the realm of Internet of Things (IoT), revolutionizing industries through enhanced connectivity, robust data management, and advanced analytics. This paper provides an in-depth exploration of Azure IoT's foundational technologies such as Azure IoT Hub and Azure Sphere, pivotal for ensuring secure device communication and comprehensive IoT security. Azure IoT Hub facilitates secure bidirectional communication between IoT devices and the cloud, supporting scalability to millions of devices across diverse sectors. In manufacturing, it empowers predictive maintenance by analyzing real-time sensor data to proactively identify equipment failures, thereby optimizing operational efficiency and reducing costs. Similarly, in healthcare, Azure IoT enhances patient care through remote monitoring, enabling timely interventions based on continuous health data collection. Azure Sphere complements Azure IoT Hub by offering a secure hardware, operating system, and cloud service ecosystem, essential for protecting IoT deployments against cyber threats. This integrated security approach ensures data integrity and privacy in interconnected IoT environments. The integration of Azure IoT with Azure's AI and machine learning services enriches IoT solutions with advanced analytics and automation capabilities. Organizations leverage AI to derive actionable insights from IoT data, automate decision-making processes, and enhance operational efficiency across various applications. Looking ahead, Azure IoT is advancing edge computing capabilities to reduce latency and improve real-time analytics and decision-making. Additionally, Azure continues to prioritize cybersecurity enhancements to safeguard IoT ecosystems from emerging threats, ensuring secure and reliable IoT deployments. In conclusion, Azure IoT stands as a cornerstone of Microsoft's IoT strategy, empowering organizations to innovate and streamline processes through scalable, secure, and AI-enhanced IoT solutions.
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Additional details
Identifiers
- DOI
- 10.35940/ijrte.B8111.13020724
- EISSN
- 2277-3878
Dates
- Accepted
-
2024-07-15Manuscript received on 22 June 2024 | Revised Manuscript received on 28 June 2024 | Manuscript Accepted on 15 July 2024 | Manuscript published on 30 July 2024.
References
- Ashton, K. (2009). That 'Internet of Things' Thing. RFID Journal.
- Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A survey. Computer Networks, 54(15), 2787-2805. https://doi.org/10.1016/j.comnet.2010.05.010
- Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645-1660. https://doi.org/10.1016/j.future.2013.01.010
- Lee, J., Bagheri, B., & Kao, H.-A. (2015). A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters, 3, 18-23. https://doi.org/10.1016/j.mfglet.2014.12.001
- Islam, S. M. R., Kwak, D., Kabir, M. H., Hossain, M., & Kwak, K. (2015). The Internet of Things for health care: A comprehensive survey. IEEE Access, 3, 678-708. https://doi.org/10.1109/ACCESS.2015.2437951
- Sundmaeker, H., Guillemin, P., Friess, P., & Woelfflé, S. (2010). Vision and challenges for realizing the Internet of Things. Cluster of European Research Projects on the Internet of Things.
- Microsoft. (2020). Azure IoT. Retrieved from https://azure.microsoft.com/en-us/overview/iot/
- Zhang, Y., Wang, L., & Wang, J. (2016). Precision agriculture—a worldwide overview. Computers and Electronics in Agriculture, 87, 1-15.
- Satyanarayanan, M. (2017). The emergence of edge computing. Computer, 50(1), 30-39. https://doi.org/10.1109/MC.2017.9
- Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016). Edge computing: Vision and challenges. IEEE Internet of Things Journal, 3(5), 637-646. https://doi.org/10.1109/JIOT.2016.2579198
- Microsoft. (2020). Azure IoT Hub. Retrieved from https://azure.microsoft.com/en-us/services/iot-hub/
- Microsoft. (2020). IoT Hub Documentation. Retrieved from https://docs.microsoft.com/en-us/azure/iot-hub/
- Microsoft. (2020). Azure IoT Central. Retrieved from https://azure.microsoft.com/en-us/services/iot-central/
- Microsoft. (2020). IoT Central Documentation. Retrieved from https://docs.microsoft.com/en-us/azure/iot-central/
- Microsoft. (2020). Azure IoT Edge. Retrieved from https://azure.microsoft.com/en-us/services/iot-edge/
- Microsoft. (2020). IoT Edge Documentation. Retrieved from https://docs.microsoft.com/en-us/azure/iot-edge/
- Microsoft. (2020). Azure Sphere. Retrieved from https://azure.microsoft.com/en-us/services/azure-sphere/
- Microsoft. (2020). Azure Sphere Documentation. Retrieved from https://docs.microsoft.com/en-us/azure-sphere/
- Smith, J. (2021). Predictive Maintenance with Azure IoT. Retrieved from https://azure.microsoft.com/en-us/blog/predictive-maintenance/
- Johnson, L. (2020). Optimizing Supply Chains with Azure IoT. Retrieved https://docs.microsoft.com/en -us/azure/iot-accelerators/
- Microsoft. (2020). Smart Manufacturing with Azure IoT. Retrieved from https://azure.microsoft.com/en-us/services/iot-edge/
- Brown, M. (2021). Smart Lighting Solutions Using Azure IoT. Retrieved from https://azure.microsoft.com/en-us/blog/smart-lighting/
- Green, A. (2020). Efficient Waste Management with IoT. Retrieved from https://docs.microsoft.com/en-us/azure/iot-accelerators/
- Microsoft. (2021). Traffic Control with Azure IoT. Retrieved from https://azure.microsoft.com/en-us/services/iot-edge/
- Williams, D. (2020). Remote Patient Monitoring with Azure IoT. Retrieved from https://docs.microsoft.com/en-us/azure/iot-samples/
- Thompson, R. (2021). Managing Medical Equipment with IoT. Retrieved from https://azure.microsoft.com/en-us/blog/medical-equipment/
- Microsoft. (2020). Integrating Healthcare Data with Azure IoT. Retrieved from https://azure.microsoft.com/en-us/services/iot-central/
- Davis, P. (2021). Enhancing Inventory Management with Azure IoT. Retrieved from https://docs.microsoft.com/en-us/azure/iot-samples/
- Taylor, S. (2020). Personalized Marketing with IoT Data. Retrieved from https://azure.microsoft.com/en-us/blog/personalized-marketing/
- Microsoft. (2021). Optimizing Retail Operations with IoT. Retrieved from https://azure.microsoft.com/en-us/services/iot-central/
- Microsoft. (2020). Introduction to IoT on Azure. Retrieved June 26, 2024, from https://learn.microsoft.com/en-us/azure/iot/iot-introduction
- Microsoft. (2020.). Azure IoT reference architecture. Retrieved from https://learn.microsoft.com/en-us/azure/architecture/reference-architectures/iot
- S, Dr. J., & T S, Mr. T. (2020). Iot- A Technology Transfer in Manufacturing Future Products. In International Journal of Recent Technology and Engineering (IJRTE) (Vol. 8, Issue 5, pp. 1415–1419). https://doi.org/10.35940/ijrte.e6383.018520
- Madhuri, M. V., & Sangameswar, Dr. M. V. (2019). Encryption Technique to Optimize Information Leakage in Multi Cloud Storage Services. In International Journal of Engineering and Advanced Technology (Vol. 8, Issue 6s, pp. 1078–1081). https://doi.org/10.35940/ijeat.f1002.0886s19
- Deshmukh, A., & Pattanshetti, Dr. T. (2022). Deep Learning Technique to Identify the Malicious Traffic in Fog based IoT Networks. In International Journal of Innovative Technology and Exploring Engineering (Vol. 11, Issue 8, pp. 59–66). https://doi.org/10.35940/ijitee.h9179.0711822