Smart Sensor Networks: Analytics, Sharing and Control

Author:   Umang Singh ,  Ajith Abraham ,  Arturas Kaklauskas ,  Tzung-Pei Hong
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2022
Volume:   92
ISBN:  

9783030772161


Pages:   227
Publication Date:   03 September 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Smart Sensor Networks: Analytics, Sharing and Control


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Overview

This book provides IT professionals, educators, researchers, and students a compendium of knowledge on smart sensors and devices, types of sensors, data analysis and monitoring with the help of smart sensors, decision making, impact of machine learning algorithms, and artificial intelligence-related methodologies for data analysis and understanding of smart applications in networks. Smart sensor networks play an important role in the establishment of network devices which can easily interact with physical world through plethora of variety of sensors for collecting and monitoring the surrounding context and allowing environment information. Apart from military applications, smart sensor networks are used in many civilian applications nowadays and there is a need to manage high volume of demands in related applications. This book comprises of 9 chapters and presents a valuable insight on the original research and review articles on the latest achievements that contributes to the field of smart sensor networks and their usage in real-life applications like smart city, smart home, e-healthcare, smart social sensing networks, etc.  Chapters illustrate technological advances and trends, examine research opportunities, highlight best practices and standards, and discuss applications and adoption. Some chapters also provide holistic and multiple perspectives while examining the impact of smart sensor networks and the role of data analytics, data sharing, and its control along with future prospects.

Full Product Details

Author:   Umang Singh ,  Ajith Abraham ,  Arturas Kaklauskas ,  Tzung-Pei Hong
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2022
Volume:   92
Weight:   0.379kg
ISBN:  

9783030772161


ISBN 10:   3030772160
Pages:   227
Publication Date:   03 September 2022
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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