Green Internet of Things

We explore energy-efficient design principles for IoT devices and systems, aiming to reduce their power consumption and environmental impact. Our research investigates low-power components, energy harvesting techniques, and power management strategies to create IoT devices that can operate efficiently while minimizing their energy footprint.

Efficient communication is crucial for the successful operation of IoT networks. Our research in this area focuses on developing and optimizing low-power communication protocols that enable IoT devices to transmit and receive data with minimal energy consumption. We explore technologies such as LoRaWAN, Sigfox, and NB-IoT, as well as emerging solutions that prioritize energy efficiency and sustainability in IoT communication.

IoT devices generate vast amounts of data, which can present challenges in terms of storage, processing, and energy consumption. Our research in green IoT investigates data processing techniques that minimize the environmental impact of IoT systems, such as edge computing, data compression, and distributed processing. By optimizing data processing in IoT networks, we aim to reduce the energy consumption and environmental footprint of these systems.

We also investigate the use of IoT technologies in monitoring and managing environmental resources, such as air quality, water resources, and biodiversity. By leveraging IoT devices and networks for environmental monitoring, we can collect real-time data on various environmental parameters, enabling more effective and efficient management of natural resources.

Our research explores how IoT technologies can be harnessed to promote energy efficiency and support sustainable urban development. We study IoT-driven solutions for smart buildings, intelligent transportation systems, and smart grids, which can optimize resource use, reduce emissions, and enhance the quality of life for urban residents.