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Cloud Connectivity and Embedded Sensory Systems

by Lambert Spaanenburg
Save 35% Save 35%
Current price ₹8,005.00
Original price ₹12,314.00
Original price ₹12,314.00
Original price ₹12,314.00
(-35%)
₹8,005.00
Current price ₹8,005.00

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Book cover type: Paperback
  • ISBN13: 9781489981912
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Publication Date:
  • Pages: 285
  • Original Price: EUR 109.99
  • Language: English
  • Edition: 2011
  • Item Weight: 473 grams
  • BISAC Subject(s): Electronics / Circuits / General and Design, Graphics & Media / CAD-CAM

From the Back Cover
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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