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

Language: English

Published by Springer, Berlin, Springer, 2025

3031970101 / 9783031970108

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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This item is printed on demand - it takes 3-4 days longer - Neuware -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. 142 pp. Englisch.

Seller Inventory # 9783031970108

Title
Markov Decision Processes and Reinforcement Learning for Timely UAV-IoT Data Collection Applications
Author
Oluwatosin Ahmed Amodu
Publisher
Springer, Berlin, Springer
Publication year
2025
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3031970101
ISBN 13
9783031970108
Dimensions
235x155x35 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

Shipping rates from Germany to U.S.A.

Item5 to 15 business days5 to 15 business days
First itemUS$ 25.77US$ 25.77
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BuchWeltWeit Ludwig Meier e.K.

Germany