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bokomslag Markov Decision Processes and Reinforcement Learning for Timely UAV- IoT Data Collection Applications
Data & IT

Markov Decision Processes and Reinforcement Learning for Timely UAV- IoT Data Collection Applications

Oluwatosin Ahmed Amodu Raja Azlina Raja Mahmood Huda Althumali Umar Ali Bukar Nor Fadzilah Abdullah

Inbunden

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  • 2025
This book offers a structured exploration of how Markov Decision Processes (MDPs) and Deep Reinforcement Learning (DRL) can be used to model and optimize UAV-assisted Internet of Things (IoT) networks, with a focus on minimizing the Age of Information (AoI) during data collection. Adopting a tutorial-style approach, it bridges theoretical models and practical algorithms for real-time decision-making in tasks like UAV trajectory planning, sensor transmission scheduling, and energy-efficient data gathering. Applications span precision agriculture, environmental monitoring, smart cities, and emergency response, showcasing the adaptability of DRL in UAV-based IoT systems. Designed as a foundational reference, it is ideal for researchers and engineers aiming to deepen their understanding of adaptive UAV planning across diverse IoT applications.
  • Författare: Oluwatosin Ahmed Amodu, Raja Azlina Raja Mahmood, Huda Althumali, Umar Ali Bukar, Nor Fadzilah Abdullah
  • Format: Inbunden
  • ISBN: 9783031970108
  • Språk: Engelska
  • Utgivningsdatum: 2025-08-28
  • Förlag: Springer International Publishing AG