The transition from the first generation of technology, which only had an analog voice, to the fifth generation, which also had connected gadgets, gave the technology a new structure and changed how people used it. Fifth-generation wireless technology, often known as 5G, is on the cusp of reaching its potential maximum data transfer rate with a peak data throughput of 20 gigabits per second (Gbps) and a typical data transfer rate of more than 100 megabits per second (Mbps). The Internet of Things serves as the cornerstone of the future, and it is projected that by 2025, individual users will use 13 times the amount of data that we do at this time. Therefore, 5G is extremely important and the main feature of the 2030 Sustainable Development Agenda, which was ratified by all of the Member States of the United Nations in 2015, and is the 17 Sustainable Development Goals (SDGs), which represent an urgent call to action for all nations. These goals are referred to collectively as the "SDGs." This study intends to examine how 5G networks might serve as important facilitators for achieving sustainability and meeting some of the 17 SDGs. This is further highlighted by evaluating the sustainability metrics for 5G networks. Ultimately, this helps to demonstrate that 5G networks are environmentally, socially, and economically responsible. This study focuses on the five primary SDGs that are important for the growth of smart cities.

Aim: The aim of the study was to implement low-power approximate arithmetic circuits for IoT devices. Background: Information transmitted via electronic media is exposed to security threats. With the advancement of internet technology, the devices linked to the internet are growing, leading to the Internet of Things (IoT). Objective: IoT and big data are the prominent computing paradigms that employ approximate computing. It takes the benefit of various applications' error-tolerable features to lower the amount of resources necessary to deliver a specific degree of computation quality. An IoT device has to receive and transmit a lot of data. If this data size can be reduced by approximate computing, then a lot of power can be saved, which provides the dual benefit of data protection and power consumption. Methods: The approximated adder and multiplier using AIF is proposed that helps in the reduction of power consumption and security threats that occur in IoT devices. Result: The proposed approximated adder and multiplier consumes 2.81% to 32.95% less power as compared to conventional technique. Conclusion: For the protection of data communication in IoT devices from security threats, approximate arithmetic circuits play a fundamental role. To attain this issue, in this paper, authors have proposed approximate adder and multiplier using AIF, which also provides reduction in power consumption. The proposed circuits can be used as a basic block for security purposes in IoT devices. In future, approximation algorithms will be implemented for mitigation of security threats.