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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…mehr

Produktbeschreibung
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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