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Springer Computational Intelligence in Sensor Networks 776

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Description

Explore the evolving landscape of sensor technology with Computational Intelligence in Sensor Networks, part of the Studies in Computational Intelligence series (776). This academic text examines how computational approaches transform sensor networks from small-scale data processing systems into powerful tools for big data processing. As sensor technology advances, networks have shifted from large sensors in small systems to vast networks of miniature sensors. This book tracks that evolution, covering the transition from wired to wireless communications and the move from static to dynamic network topologies. Through twenty detailed chapters, readers gain insights into how intelligence is integrated into sensor nodes to manage complex data environments. This resource is designed for those studying the intersection of computer science, artificial intelligence, and network technology.

Key Features

Covers twenty comprehensive chapters addressing various computational approaches in sensor networks.

Explains the transition from small-scale data processing to advanced big data processing using sensor nodes.

Details the evolution of sensor technology from large individual sensors to large nets of miniature sensors.

Examines the shift in communication methods from wired systems to modern wireless communications.

Provides technical context on the movement from static network topologies to dynamic network structures.

Part of the professional Studies in Computational Intelligence series published by Springer.

Product Specifications

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

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