Energy Conservation for IoT Devices

Concepts, Paradigms and Solutions
1. Auflage 2019
ISBN: 978-981-13-7401-2
Verlag: Springer Nature Singapore

Buch, Englisch, Band 206, 356 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 557 g

Reihe: Studies in Systems, Decision and Control

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.

Zielgruppe

Research

Autoren/Hrsg.

Mittal, Mamta

Goyal, Lalit Mohan

Tanwar, Sudeep

Agarwal, Basant

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

IoT Architecture for Preventive Energy Conservation of Smart Buildings.- Designing Energy Efficient IoT based Intelligent Transport System: Need, Architecture, Characteristics, Challenges and Applications.- Energy-Efficient System Design for Internet of Things (IoT) Devices.- Need and Design of Smart and Secure Energy Efficient IoT Based Healthcare Framework.- The Rudiments of Energy Conservation and IoT.- Capacity Estimation of Electric Vehicle Aggregator for Ancillary Services to the Grid.- Existing Enabling Technologies and Solutions for Energy Management in IoT.- Medical Information Processing Using Smartphone Under IoT Framework.

Über Autor(innen)

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.