Energy Conservation for IoT Devices -

Energy Conservation for IoT Devices (eBook)

Concepts, Paradigms and Solutions
eBook Download: PDF
2019 | 1st ed. 2019
XII, 356 Seiten
Springer Singapore (Verlag)
978-981-13-7399-2 (ISBN)
Systemvoraussetzungen
149,79 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen

This book addresses the Internet of Things (IoT), an essential topic in the technology industry, policy, and engineering circles, and one that has become headline news in both the specialty press and the popular media. The book focuses on energy efficiency concerns in IoT and the requirements related to Industry 4.0. It is the first-ever 'how-to' guide on frequently overlooked practical, methodological, and moral questions in any nations' journey to reducing energy consumption in IoT devices.

The book discusses several examples of energy-efficient IoT, ranging from simple devices like indoor temperature sensors, to more complex sensors (e.g. electrical power measuring devices), actuators (e.g. HVAC room controllers, motors) and devices (e.g. industrial circuit-breakers, PLC for home, building or industrial automation). It provides a detailed approach to conserving energy in IoT devices, and comparative case studies on performance evaluation metrics, state-of-the-art approaches, and IoT legislation. 



Dr. Mamta Mittal graduated with a degree in Computer Science & Engineering from Kurukshetra University in 2001 and received her Master's degree from YMCA, Faridabad. She subsequently completed Ph.D. at Thapar University Patiala and is currently teaching at GB PANT Government Engineering College, New Delhi. She has filed two patents: for a human surveillance system, and for a wireless copter for handling and defusing explosives. She is the editor of the books 'Data Intensive Computing Application for Big Data' by IOS press, and 'Big Data Processing Using Spark in Cloud' by Springer. Her research interests include Data Mining, Big Data, Soft Computing and Machine learning.

Dr. Sudeep Tanwar is an Associate Professor of Computer Engineering at Nirma University, Ahmedabad, India. He holds an M.Tech. in Information Technology from Guru Gobind Singh Indraprastha University, Delhi and later completed his Ph.D. in Computer Science & Engineering with a specialization in Wireless Sensor Networks. He has authored more than 50 technical research papers published in peer-reviewed international journals and conference proceedings. An Associate Editor for 'Security and Privacy Journal' (Wiley), his current research interests include Routing Issues in WSN, IoT, Integration of Sensors with the Cloud, Computational Aspects of Smart Grids, and Assessment of Fog Computing in BASN.  

Dr. Basant Agarwal is an Associate Professor at Swami Keshvanand Institute of Technology, India. He received his M.Tech. and Ph.D. in Computer Engineering from Malaviya National Institute of Technology, Jaipur, India. He was awarded the prestigious ERCIM PostDoc Fellowship through the 'Alain Bensoussan Fellowship Programme' in 2016. Having worked as a postdoctoral fellow at the NTNU, Norway, his current research interests include Artificial Intelligence, NLP, Machine Learning, and related areas.  

Dr. Lalit Mohan Goyal received his M.Tech. in Information Technology from Guru Gobind Singh Indraprastha University, New Delhi, and his Ph.D. in Computer Engineering from Jamia Millia Islamia University, New Delhi. Currently, he is an Assistant Professor at the Department of Computer Engineering, JC Bose University of Science & Technology, YMCA, Faridabad. He has 16 years of academic experience, and has published research papers in SCI-indexed & Scopus-indexed journals and conference proceedings.

 

 


This book addresses the Internet of Things (IoT), an essential topic in the technology industry, policy, and engineering circles, and one that has become headline news in both the specialty press and the popular media. The book focuses on energy efficiency concerns in IoT and the requirements related to Industry 4.0. It is the first-ever "e;how-to"e; guide on frequently overlooked practical, methodological, and moral questions in any nations' journey to reducing energy consumption in IoT devices. The book discusses several examples of energy-efficient IoT, ranging from simple devices like indoor temperature sensors, to more complex sensors (e.g. electrical power measuring devices), actuators (e.g. HVAC room controllers, motors) and devices (e.g. industrial circuit-breakers, PLC for home, building or industrial automation). It provides a detailed approach to conserving energy in IoT devices, and comparative case studies on performance evaluation metrics, state-of-the-art approaches, and IoT legislation. 
Erscheint lt. Verlag 21.5.2019
Reihe/Serie Studies in Systems, Decision and Control
Studies in Systems, Decision and Control
Zusatzinfo XII, 356 p. 138 illus., 109 illus. in color.
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Datenbanken
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Informatik Web / Internet
Technik Elektrotechnik / Energietechnik
Schlagworte Application of IoT and Challenges • Data Analysis • Energy conservations • Energy Efficiency in IoT • Energy Efficiency in Smart Devices • Energy Efficient Industry 4.0 • Intelligent Transport Systems • internet of things • IoT Devices • Smart Home
ISBN-10 981-13-7399-X / 981137399X
ISBN-13 978-981-13-7399-2 / 9789811373992
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 10,7 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
der Praxis-Guide für Künstliche Intelligenz in Unternehmen - Chancen …

von Thomas R. Köhler; Julia Finkeissen

eBook Download (2024)
Campus Verlag
38,99
Wie du KI richtig nutzt - schreiben, recherchieren, Bilder erstellen, …

von Rainer Hattenhauer

eBook Download (2023)
Rheinwerk Computing (Verlag)
17,43