Smart Sensor Networks Analytics, Sharing and Control

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.

Détails du produit

• Collaboration: Arturas Kaklauskas (Editeur), Ajith Abraham (Editeur), Tzung-pei Hong (Editeur), Umang Singh (Editeur), Arturas Kaklauskas et al (Editeur)
• Edition: Springer, Berlin
• Contenu: Livre
• Forme du produit: Livre de poche
• Date de parution: 03.09.2022
• Catégorie: Sciences naturelles, médecine, it, technique > Technique > Général, dictionnaires
• EAN: 9783030772161
• ISBN: 978-3-0-3077216-1
• Nombre de pages: 227
• Illustrations: XIII, 227 p. 85 illus., 62 illus. in color.
• Dimensions (emballage): 15,5 x 1,3 x 23,5 cm
• Thème: Studies in Big Data > 92