Abstract
Nowadays, the Internet of Things (IoT) is used everywhere. This ecosystem consists of various smart devices that include sensors, processors, and communication hardware. In the traditional IoT system, the IoT hub serves as an intermediary between tiny underlying sensors and the cloud, assisting applications to collect, send, and analyzed the acquired data in real time. In the traditional system, the IoT hub and sensors are two different isolated layers that make the system complex and increase network dependency. In this respect, the objective of this paper is to analyze and modify the IoT architecture for designing an autonomous and distributed IoT module. The module enabled with Machine to Machine (M2M) communication the above-mentioned problem to be reduced and scalability to be added into IoT devices. The designed module can be built on IoT devices, to directly connect with the network through the Ethernet or Wi-Fi and provide the users with an interface (cloud server, person, device) to communicate with each other. Moreover, the proposed modules are independent and can easily interface using any programming language. In addition, resource management and the security of the IoT systems have been taken into consideration. Hence, the performance of the IoT system could be increased.
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References
Motlagh, N. H., Khajavi, S. H., Jaribion, A., & Holmstrom, J. (2018). An IoT-based automation system for older homes: A use case for lighting system. In 2018 IEEE 11th Conference on Service-Oriented Computing and Applications (SOCA) (pp. 1–6). IEEE.
Quadri, S. A. I., & Sathish, P. (2017). IoT based home automation and surveillance system. In 2017 International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 861–866). IEEE.
Shaikh, S. A., & Kapare, A. S. (2017). Intelligent office area monitoring and control using internet of things. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 6, 4705–4711.
Baker, S. B., Xiang, W., & Atkinson, I. (2017). Internet of things for smart healthcare: Technologies, challenges, and opportunities. IEEE Access, 5, 26521–26544.
Javaid, S., Sufian, A., Pervaiz, S., & Tanveer, M. (2018). Smart traffic management system using internet of things. In 2018 20th International Conference on Advanced Communication Technology (ICACT) (pp. 393–398). IEEE.
Dheena, P. F., Raj, G. S., Dutt, G., & Jinny, S. V. (2017). IOT based smart street light management system. In 2017 IEEE International Conference on Circuits and Systems (ICCS) (pp. 368–371). IEEE.
Sahoo, K. S., et al. (2019). ESMLB: Efficient switch migration-based load balancing for multi-controller SDN in IoT. IEEE Internet of Things Journal, 7, 5852–5860.
Srihari, M. M. (2018). Intelligent water distribution and management system using internet of things. In 2018 International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 785–789). IEEE.
Sushanth, G., & Sujatha, S. (2018). IOT based smart agriculture system. In 2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). IEEE.
Vaidya, V. D., & Vishwakarma, P. (2018). A comparative analysis on smart home system to control, monitor and secure home, based on technologies like GSM, IOT, Bluetooth and PIC microcontroller with ZigBee modulation. In 2018 International Conference on Smart City and Emerging Technology (ICSCET) (pp. 1–4). IEEE.
Yaqoob, I., Ahmed, E., Hashem, I. A. T., Ahmed, A. I. A., Gani, A., Imran, M., & Guizani, M. (2017). Internet of things architecture: Recent advances, taxonomy, requirements, and open challenges. IEEE Wireless Communications, 24(3), 10–16.
Kaur, G., Tomar, P., & Singh, P. (2018). Design of cloud-based green IoT architecture for smart cities. In Internet of Things and Big Data Analytics Toward Next-Generation Intelligence (pp. 315–333). Cham: Springer.
Chien, W. C., Lai, C. F., Hossain, M. S., & Muhammad, G. (2019). Heterogeneous space and terrestrial integrated networks for IoT: Architecture and challenges. IEEE Network, 33(1), 15–21.
Jerald, A. V., Rabara, S. A., & Bai, D. P. (2016). Secure IoT architecture for integrated smart services environment. In 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 800–805). IEEE.
Liu, Y., et al. (2017). Review on cyber-physical systems. IEEE/CAA Journal of Automatica Sinica, 4(1), 27–40.
Oriwoh, E., & Conrad, M. (2015). Things’ in the internet of things: Towards a definition. International Journal of Internet of Things, 4(1), 1–5.
Lee, E. A. (2008). Cyber physical systems: Design challenges. In 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC). IEEE.
Tan, Y., Goddard, S., & Pérez, L. C. (2008). A prototype architecture for cyber-physical systems. ACM Sigbed Review, 5(1), 1–2.
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.
Ren, J., Guo, H., Xu, C., & Zhang, Y. (2017). Serving at the edge: A scalable IoT architecture based on transparent computing. IEEE Network, 31(5), 96–105.
Liu, X., Leon-Garcia, A., & Zhu, P. (2017). A distributed software-defined multi-agent architecture for unifying IoT applications. In 2017 8th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (pp. 49–55). IEEE.
Kumar, R. P., & Smys, S. (2018). A novel report on architecture, protocols and applications in internet of things (IoT). In 2018 2nd International Conference on Inventive Systems and Control (ICISC) (pp. 1156–1161). IEEE.
Krishnan, R. S., Julie, E. G., Robinson, Y. H., Raja, S., Kumar, R., & Thong, P. H. (2020). Fuzzy logic based smart irrigation system using internet of things. Journal of Cleaner Production, 252, 119902.
Gushev, M. (2020). Dew computing architecture for cyber-physical systems and IoT. Internet of Things, 11, 100186.
Tran-Dang, H., et al. (2020). Towards the internet of things for physical internet: Perspectives and challenges. IEEE Internet of Things Journal, 7, 4711–4736.
Kondo, T., et al. (2019). Development of the edge computing platform with dynamic modular configuration for an IoT platform. In 2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM). IEEE.
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Bhola, B., Kumar, R., Alkhayyat, A. (2023). Cloud of Things Platform for a Water Meter Network. In: Sharma, R., Jeon, G., Zhang, Y. (eds) Data Analytics for Internet of Things Infrastructure. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-031-33808-3_2
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