Energy and Battery Management in the Era of Cloud Computing: Sustainable Wireless Systems and Networks

Introduction

Sustainable wireless systems and networks are revolutionizing the design, deployment, and management of wireless communications. As demand for connectivity increases, it's crucial to address environmental impact and energy consumption. This introduction section covers research and developments in sustainable wireless systems, focusing on energy and battery management. The rapid growth of wireless devices raises environmental concerns. Sustainable wireless systems aim to minimize energy consumption, reduce carbon emissions, and optimize resource utilization. Adopting sustainable practices can mitigate environmental impact and ensure a sustainable future for wireless communications. Sustainable wireless systems require energy efficiency and intelligent battery management techniques for longer device lifetimes, reduced energy consumption, and improved performance. Optimizing energy and battery usage can extend device operational life, reduce waste, and lower operational costs. Sustainable wireless systems and networks have experienced significant advancements in recent years, with researchers and industry professionals exploring strategies for energy efficiency and effective battery management(Chiasserini & Rao, 2001).

The development of power-efficient hardware design, energy-efficient radios, and innovative circuit designs reduces energy consumption in wireless devices. Researchers are exploring energy harvesting techniques to capture and utilize ambient energy sources, reducing dependence on traditional battery power. Dynamic power management strategies adjust power levels and operational modes based on network conditions and application requirements, ensuring optimal energy consumption and battery usage(Tripathi et al., 2016). Advances in battery technology, such as adaptive voltage scaling, load balancing, and predictive battery lifetime estimation, enable efficient battery use and prolong device operation. Cloud computing significantly contributes to sustainability goals in wireless systems by consolidating resources, virtualizing, and optimizing computational utilization. This reduces device energy footprint and enhances energy efficiency in wireless networks through analytics and optimization techniques(Dai et al., 2021).

Energy and battery management using cloud computing is a concept that involves leveraging cloud-based technologies and platforms to optimize the efficiency, performance, and sustainability of energy systems, especially those that rely on batteries or other energy storage solutions. Cloud computing offers various tools and resources that can be utilized to monitor, control, analyze, and manage energy consumption, generation, and storage(Awan et al., 2019).

Cloud-connected sensors and devices can gather real-time data from various energy sources, batteries, and connected devices. This data can include information about energy consumption patterns, battery status, environmental conditions, and more. Cloud platforms allow users to remotely control energy systems and battery operations. This is particularly valuable in scenarios where energy assets are spread across different locations or are difficult to access physically(Khayyam et al., 2013; T. Kim et al., 2018). Cloud computing provides the computational power required to process large amounts of data generated by energy systems. Advanced analytics and machine learning algorithms can be applied to predict energy demand, optimize battery charging and discharging cycles, and identify opportunities for efficiency improvements. Cloud-connected systems can actively manage energy loads by shifting consumption to off-peak hours or reducing usage during peak demand times. This approach helps in minimizing energy costs and reducing strain on the grid.