Energy-Efficient Framework for IoT with Enhanced Lifetime and Dynamic Security Solutions
Dibyasundar Das, S. Prabagaran, Jaskirat Singh Rai, A Benila, Amritpal Sidhu, Gadug Sudhamsu · 2025
Internet of Things (IoT) has greatly changed many industries by allowing real-time connectivity of devices resulting in smart interaction. Nevertheless, IoT networks are hard to scale up for energy efficiency and security considerations. IoT devices are always bounded by limited power, and thus energy management forms a majorr conception. One of the main issues of IoT systems is that more data and traffic filled the networks, the more susceptible these networks are to cyber threats. The outlined Energy-Efficient Framework for IoT in this paper addresses the challenges of lifetime extension of devices and dynamic protection of data and system processes. This framework utilizes a two-tiered model; incorporating highly sophisticated energy conservation features and dynamic security measures. It employs a duty cycling mechanism and energy harvesting algorithms with a exceptional ability to conserve energy while maintaining network quality. It also outlines a new light-weight encryption model for network traffic monitoring and Malware detection using machine learning techniques to adapt network security based on the found threats. It has been evaluated in many IoT contexts, and the result demonstrated the better energy efficiency as well as the enhanced security against various threats with the proposed framework in comparison with the traditional techniques.