- Livros
- Markov Decision Processes and Reinforcement Learning for Timely UAV-IoT Data Collection Applications
- Livros
- Markov Decision Processes and Reinforcement Learning for Timely UAV-IoT Data Collection Applications
Markov Decision Processes and Reinforcement Learning for Timely UAV-IoT Data Collection Applications
Mahmood, Raja Azlina Raja
Inglês
Markov Decision Processes and Reinforcement Learning for Timely UAV-IoT Data Collection Applications
Mahmood, Raja Azlina RajaSinopse Markov Decision Processes and Reinforcement Learning for Timely UAV-IoT Data Collection Applications
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. nbsp;
EAN
9783031970108
Editora
Ano de edição
2025
Idioma
Inglês
Coleção
Studies in Computational Intelligence
Altura
235
Largura
155
155,99 €
-5%
148,19 €
155.99 €
- 5 % DESC.
148.19 €