Smartening Energy Consumption: A Comparative Study of Energy Optimization Strategies in IoT Environments

Nowadays, the Internet of Things (IoT) platform is being utilized extensively to integrate the real world with cyber-physical systems. The IoT is being used to share data among small and resource-constrained devices. Thus, optimization has the key to providing energy efficiency as well as the suitability of network architectures of IoTs. This article portrays a brief introduction to optimization strategies applied in different energy-efficient IoT and M2M technologies. In this article, a basic energy optimization strategy for IoT architecture is demonstrated. The simulation focuses on minimizing energy consumption by implementing a simple optimization algorithm. The optimization algorithm iterates through each device, selectively turning off devices that fall below their energy thresholds. The simulation results reveal the total energy consumption before and after optimization, highlighting the percentage reduction achieved. While this simulation provides a basic framework, real-world energy optimization in IoT systems involves more complex algorithms that consider various factors such as data processing requirements, network conditions, and communication protocols. Nevertheless, the presented result serves as a starting point for researchers and practitioners to explore energy optimization strategies in IoT networks.