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Springer Computational Intelligence in Sensor Networks - Springer (Vol. 776)

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Description

This comprehensive volume explores the application of computational intelligence techniques across modern sensor networks, featuring twenty chapters that span from small-scale data processing to advanced big data analytics. The book addresses the evolution of sensor technology from large single sensors to expansive networks of miniature wireless devices, examining how computational approaches enable intelligent data handling within distributed systems. It covers the challenges and opportunities presented by dynamic network topologies, wireless communications, and the growing complexity of sensor-based systems. Ideal for researchers, engineers and students in artificial intelligence, machine learning, and network systems, this book provides essential insights into leveraging computational intelligence for effective sensor network design and deployment.

Key Features

Twenty comprehensive chapters covering sensor networks and computational intelligence applications from foundational concepts to advanced implementations.

Addresses the full spectrum of data processing challenges, from small-scale sensor operations to large-scale big data analytics within distributed networks.

Explores technological advances in sensor systems, including transitions from wired to wireless communications and static to dynamic network configurations.

Part of the Studies in Computational Intelligence series (Volume 776), published by Springer for academic and professional credibility.

Suitable for researchers, engineers and graduate students working in AI, machine learning, network systems and sensor technology fields.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
11 February 2019
Listed Since
11 February 2019

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