An Efficient Assessment of Internet of Things (IoT) Technology

Authors

  • Padma Lochan Pradhan Professor-Emeritus, Department of Computer Science and Engineering (SCOS), JSPM University, Pune, Maharashtra, India
  • Amol Rajmane Associate Professor, Department of Computer Science and Engineering (SCOS), JSPM University, Pune, Maharashtra, India

Keywords:

Decision support system, Innovation, Internet, Internet of Things, Smart TV, Sustainability, Wireless communication

Abstract

This Assessment focuses on exploring the incredible technology and giving a IoT depth study with other communication technologies such as sensor, W-Fi and Li-Fi. IoT is multiple devices for the perfect data transmission that have wireless coverage within buildings. Internet of Things (IoT) represents a global network of interconnected physical objects, equipped with sensors, software and other technologies, which allow them and control. IoT communicates, interfaces, associates, interacts and adds data to improve the dynamic decision -making system for sustainability and innovation. Advances in the LI-FI communication system are more reliable, scalable and accessible to sustainability initiatives. Currently, there is a global increase in the adoption of IoT communication technologies that improve safety, quality, performance, high availability and faster decision making while reducing costs and time. Ultimately, the sustainability of communication improves quality, manages costs, improves decision making and minimizes risk.

References

H.-N. Dai, Z. Zheng, and Y. Zhang, “Blockchain for Internet of Things: A Survey,” IEEE Internet of Things Journal, vol. 6, no. 5, pp. 1–1, 2019, doi: https://doi.org/10.1109/jiot.2019.2920987

P. C. van Oorschot and S. W. Smith, “The Internet of Things: Security Challenges,” IEEE Security & Privacy, vol. 17, no. 5, pp. 7–9, Sep. 2019, doi: https://doi.org/10.1109/msec.2019.2925918.

A. Riahi Sfar, E. Natalizio, Y. Challal, and Z. Chtourou, “A roadmap for security challenges in the Internet of Things,” Digital Communications and Networks, vol. 4, no. 2, pp. 118–137, Apr. 2018, doi: https://doi.org/10.1016/j.dcan.2017.04.003

D. Mendez Mena, I. Papapanagiotou, and B. Yang, “Internet of things: Survey on security,” Information Security Journal: A Global Perspective, vol. 27, no. 3, pp. 162–182, Apr. 2018, doi: https://doi.org/10.1080/19393555.2018.1458258

S. Bhardwaj and S. N. Panda, “A Study on Noninvasive Body Wearable Sensors,” Advances in intelligent systems and computing, pp. 345–351, Aug. 2019, doi: https://doi.org/10.1007/978-981-13-8618-3_37

K. Guleria and A. K. Verma, “An energy efficient load balanced cluster-based routing using ant colony optimization for WSN,” International Journal of Pervasive Computing and Communications, vol. 14, no. 3/4, pp. 233–246, Sep. 2018, doi: https://doi.org/10.1108/ijpcc-d-18-00013.

K. Guleria and A. K. Verma, “Comprehensive review for energy efficient hierarchical routing protocols on wireless sensor networks,” Wireless Networks, vol. 25, no. 3, pp. 1159–1183, Mar. 2018, doi: https://doi.org/10.1007/s11276-018-1696-1

J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, “Internet of Things (IoT): A vision, architectural elements, and future directions,” Future Generation Computer Systems, vol. 29, no. 7, pp. 1645–1660, Sep. 2013, doi: https://doi.org/10.1016/j.future.2013.01.010

J. Kim, J. Lee, J. Kim, and J. Yun, “M2M Service Platforms: Survey, Issues, and Enabling Technologies,” IEEE Communications Surveys & Tutorials, vol. 16, no. 1, pp. 61–76, 2014, doi: https://doi.org/10.1109/surv.2013.100713.00203

L. D. Xu, W. He, and S. Li, “Internet of Things in Industries: A Survey,” IEEE Transactions on Industrial Informatics, vol. 10, no. 4, pp. 2233–2243, Nov. 2014, doi: https://doi.org/10.1109/tii.2014.2300753

Published

2025-12-24