AI‐Enabled Energy Management in Mobile Wireless Sensor Network for 6G Internet‐of‐Things (IoT)
Bhanu Partap SINGH, Lav Soni, Ashu Taneja · 2025
Mobile wireless sensor networks (MWSNs) within the Internet-of-Things (IoT) are undergoing a significant transformation with the advent of sixth generation (6G) technology, which prioritizes low-latency, high-speed communication, and efficient energy management. This chapter explores the artificial intelligence (AI)-driven strategies that enhance the performance of 6G-enabled MWSNs while optimizing energy consumption and extending network lifespan. It explores the roles of federated learning, deep learning and reinforcement learning in addressing the energy efficiency challenges. The chapter introduces innovative approaches for intelligent and sustainable energy management in next-generation wireless networks, leveraging neuromorphic computing and quantum-inspired algorithms to achieve smarter and more eco-friendly operations. Genetic algorithms may be applied to solve complex, multifarious optimization problems in 6G IoT MWSN energy management.