Digital Twin Empowered Approach for Sustainable IoT in Consumer Electronics Health: A Use Case

The emerging consumer electronics are integrated with internet-of-things (IoT) for better user experience. But these IoT nodes consume energy for massive user interaction and are soon energy drained out because of limited battery life. The power limitation of network devices is the main challenge. This paper presents a sustainable solution to this problem by offering a digital twin powered IoT network. With the assistance of digital twin, the virtual network is tested for operational node power consumption. The massive network nodes harvest energy from the access points (APs) transmission using different models. Further, resource control is enabled through a proposed clustering algorithm which associates APs to nodes with minimum interference from neighboring nodes and interfering APs. The paper evaluates the digital twin empowered approach for maximum power harvested and per user spectral efficiency under different pilot length, AP count and number of IoT nodes. The impact of introducing uniform power control on the system performance is also discussed. It is observed that maximum per user spectral efficiency improves by 14.02% for K=50 and 9.79% for K=10 with uniform power control. Next, the comparison with other system models are presented under different clustering approaches. In the end, the application of digital twin in the health management of consumer electronics is also discussed as a use case scenario.