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The extensive utility of sensor technology and M2M networking are the future of industries for the production of commercial and non-commercial applications. One such application, the Internet of Things (IoT), was the universally accepted technology of sensors and wide-area networking. This causes severe effects of low power quality and results in the device malfunctioning. The increase in the use of smart devices will be a future challenge for power quality and its effect on associative devices. The main contribution of this survey is to analyze harmonic distortions due to non-linear load characteristics in the power management unit of traditional systems &amp; advanced smart IoT devices. It helps to understand the utility of conventional harmonic mitigation techniques and the need for adaptive features for the latest technology. The conventional compensation techniques are incorporated with machine learning approaches to deal with the uncertainty of load variation on real-time signals. This survey gives a brief insight into the present scope of conventional compensation techniques and futuristic soft computing techniques to mitigate harmonic distortions. Additionally, the survey is intended to call the attention of the researchers to the future perspective of smart devices and to make the academic community aware of the existing practices.

Harmonic Distortions in Smart Devices: A Comprehensive Discussion on Challenges of Conventional and Future Smart IoT Devices