Green IoT Edge Computing Towards Sustainable and Distributed Data Processing
K.R. Ananth, Hari Shankar Punna, Krishnamoorthy Selvaraj, Kannan Rajagopal, Vaishali Mahajan, Sakthivel Sankaran · 2023
Data creation in the network's periphery has increased exponentially as IoT devices have become more commonplace. To address the challenges this large data deluge poses, sustainable and efficient data processing technologies are required. The term “Green IoT Edge Computing” refers to a new strategy that uses distributed data processing and renewable energy to improve the efficiency and longevity of Internet of Things (IoT) applications. In the Internet of Things (IoT), edge computing is used to process data locally, at the network's periphery, rather than forwarding it to a centralized data center. This method improves real-time decision-making, minimizes network latency, and helps preserve bandwidth. However, in locations with limited access to power or other resources, the high power consumption of edge computing devices continues to be a major issue. Green IoT edge computing addresses this challenge by combining renewable energy sources like solar panels and wind turbines with traditional edge computing facilities. This guarantees low- impact and long-term power for edge devices, cutting down on their environmental impact and operational expenses. This strategy harmonizes IoT operations with environmental sustainability targets by utilizing renewable energy sources. The ability to handle data in a distributed manner is also crucial to green IoT edge computing. Rather than a centralized server, a distributed group of edge devices processes data. This improves energy efficiency as well as fault tolerance and dependability. Edge devices working together to properly spread processing activities can reduce the demand for powerful, energy-hungry servers. Green IoT Edge Computing's primary invention is the “Renewable Edge Optimizer.” This clever piece of code automatically adjusts data processing tasks in accordance with the availability of renewable power. When clean energy is plentiful, the optimizer may shift more data processing to distributed nodes, relieving pressure on primary data centers. Alternatively, it can prioritize vital activities or temporarily offload processing to cloud resources that are energy efficient at times of low renewable energy availability. Finally, green IoT edge computing, which uses renewable energy and is designed for distributed data processing, provides an effective and environmentally friendly response to the problems caused by the IoT data boom. It reduces energy use and carbon emissions, making it a desirable option for smart city and remote agriculture monitoring applications, among others. As an added bonus, this method also makes for a more environmentally friendly and sustainable future in the realm of Internet of Things (IoT) technologies.