Singh / Abraham / Kaklauskas Smart Sensor Networks

Analytics, Sharing and Control
1. Auflage 2021
ISBN: 978-3-030-77214-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 92, 227 Seiten, eBook

Reihe: Studies in Big Data

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.

Zielgruppe

Research

Autoren/Hrsg.

Singh, Umang

Abraham, Ajith

Kaklauskas, Arturas

Hong, Tzung-Pei

Inhaltsverzeichnis

An Overview of Artificial Intelligence Technology Directed at Smart Sensors and Devices from a Modern Perspective.- The Role of Smart Sensors in Smart City.- Impact of AI and Machine Learning in Smart Sensor Networks For Health Care.- ML Algorithms for Smart Sensor Networks.- Energy efficient smart lighting system for rooms.- QUIC Protocol Based Monitoring Probes for Network Devices Monitor & Alerts.- External Threat Detection in Smart Sensor Networks using Machine Learning Approach.- Towards Smart Farming Through Machine Learning-based Automatic Irrigation Planning.- Graph Powered Machine Learning in Smart Sensor Networks.