Energy-Efficient Resource Allocation in WPT-Based IoT Networks - A Survey

Sena Timothy Tersoo, Umar Yusuf Bugaye, Ezekiel E. Agbon

Abstract


With the significant growth of Internet of Things (IoT) devices, wireless power transfer (WPT) emerges as a promising technology for energetically recharging devices wirelessly. However, effective use of transferred wireless power relies on strategic allocation of communication resources, such as transmission power, time slots, subcarriers, and antennas. This study offers a comprehensive survey of the state-of-the-art in energy-efficient resource allocation for WPT-enabled IoT networks. The necessary background on WPT techniques, architectures, IoT network paradigms, resource allocation fundamentals, and key performance metrics is presented. Analytical models relating resources to energy efficiency metrics are reviewed. Resource management solutions under both perfect and imperfect channel state information conditions are surveyed and compared. Techniques like convex approximation, non-linear programming, game theory, and stochastic optimization are employed to address these challenges. Although existing literature offers valuable insights, key open challenges persist, such as distributed solutions, network lifetime optimization, integration of practical traffic and energy harvesting models, and security investigation. This survey summarizes existing work, highlights open issues, and proposes directions for future research on this significant topic.


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