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Cloud Connectivity and Embedded Sensory Systems

by Spaanenburg, Lambert.
Authors: Spaanenburg, Hendrik.%author. | SpringerLink (Online service) Physical details: XXIII, 285p. 100 illus. online resource. ISBN: 1441975454 Subject(s): Engineering. | Computer aided design. | Systems engineering. | Engineering. | Circuits and Systems. | Computer-Aided Engineering (CAD, CAE) and Design.
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E-Book E-Book AUM Main Library 621.3815 (Browse Shelf) Not for loan

Introduction -- Ambient Intelligence Limitations -- Topological Considerations -- Software Infrastructure -- Network Safety and Security -- System Development -- Applications: Android-in-the-Cloud -- Wear-Free Transmission -- Body-Area Networks -- Patient Monitoring -- Environmental Monitoring -- Conclusion.

Cloud Connectivity and Embedded Sensory Systems by: Lambert Spaanenburg Hendrik Spaanenburg Sensory systems are meant to create awareness in space and time. They may be measuring the presence of an object or a condition, characterizing an object stream or a situational pattern, or even detect abnormalities that are to occur. This book provides new theory on the design of wireless sensor networks, based on concepts developed for large-scale, distributed computing environments known as “clouds.” It provides a single-source entry into the world of intelligent sensory systems, with a step-by-step discussion of building case studies that capture the requirements, taking into account practical limitations of creating ambient intelligence. The reader will not only achieve a better understanding of sensory clouds, but is also guided by examples of how to design such networks, taking the typical characteristics of diverse application areas into account. •Offers readers a single-source entry into the world of cloud-centric, embedded intelligent sensory systems; •Presents sensory networks in the context of “cloud computing”; •Promotes the notion of migrating software on virtualized hardware; •Emphasizes the role of redundant network communication and computation to optimize safety and security; •Distinguishes between cloud, swarm and flock computing, in order to make the extended network more intelligent and therefore less dependent on the quality of the individual sensors.

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