Publication subTitle :Next Generation Platforms for Intelligent Data Collection
Publication series :Intelligent Data-Centric Systems: Sensor Collected Intelligence
Author: Dobre Ciprian;Xhafa Fatos
Publisher: Elsevier Science
Publication year: 2016
E-ISBN: 9780128037027
P-ISBN(Paperback): 9780128036631
Subject: TP3 Computers;TP301.6 algorithm theory;TP309 安全保密;TP31 computer software
Keyword: 自动化技术、计算机技术
Language: ENG
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Description
Pervasive Computing: Next Generation Platforms for Intelligent Data Collection presents current advances and state-of-the-art work on methods, techniques, and algorithms designed to support pervasive collection of data under ubiquitous networks of devices able to intelligently collaborate towards common goals.
Using numerous illustrative examples and following both theoretical and practical results the authors discuss: a coherent and realistic image of today’s architectures, techniques, protocols, components, orchestration, choreography, and developments related to pervasive computing components for intelligently collecting data, resource, and data management issues; the importance of data security and privacy in the era of big data; the benefits of pervasive computing and the development process for scientific and commercial applications and platforms to support them in this field.
Pervasive computing has developed technology that allows sensing, computing, and wireless communication to be embedded in everyday objects, from cell phones to running shoes, enabling a range of context-aware applications. Pervasive computing is supported by technology able to acquire and make use of the ubiquitous data sensed or produced by many sensors blended into our environment, designed to make available a wide range of new context-aware applications and systems. While such applications and systems are useful, the time has come to develop the next generation of perva