Role of IoT in Green Energy Systems

Role of IoT in Green Energy Systems

Vasaki Ponnusamy, Noor Zaman, Low Tang Jung, Anang Hudaya Muhamad Amin
Release Date: February, 2021|Copyright: © 2021 |Pages: 405
DOI: 10.4018/978-1-7998-6709-8
ISBN13: 9781799867098|ISBN10: 1799867099|ISBN13 Softcover: 9781799867104|EISBN13: 9781799867111
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Description & Coverage
Description:

In the era of Industry 4.0, the world is increasingly becoming smarter as everything from mobile phones to cars to TVs connects with unique addresses and communication mechanisms. However, in order to enable the smart world to be sustainable, ICT must embark into energy efficient paradigms. Green ICT is a moving factor contributing towards energy efficiency by reducing energy utilization through software or hardware procedures.

Role of IoT in Green Energy Systems presents updated research trends in green technology and the latest product and application developments towards green energy. Covering topics that include energy conservation and harvesting, renewable energy, and green and underwater internet of things, this essential reference book creates further awareness of smart energy and critically examines the contributions of ICT towards green technologies. IT specialists, researchers, academicians, and students in the area of energy harvesting and energy management, and/or those working towards green energy technologies, wireless sensor networks, and smart applications will find this monograph beneficial in their studies.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Blockchain Technology
  • Energy Conservation
  • Energy Harvesting
  • Green Building Management
  • Green Computational Grid
  • Green Internet of Things
  • Internet of Underwater Things
  • Renewable Energy
  • Smart Grid
  • Wireless Sensor Network
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Editor/Author Biographies
Vasaki Ponnusamy is an Assistant Professor at Universiti Tunku Abdul Rahman, Malaysia. She obtained her Bachelor of Computer Science and MSc (Computer Science) from Science University of Malaysia and her PhD in IT from Universiti Teknologi PETRONAS (UTP), Malaysia (2013). She is currently working on biologically-inspired computing, wireless sensor network and energy harvesting.
Dr. Noor Zaman received a Ph.D. degree in IT from UTP, Malaysia. He has great international exposure in academia, research, administration, and academic quality accreditation. He was with ILMA University, KFU for a decade, and is currently with Taylor’s University, Malaysia. He has 19 years of teaching and administrative experience. Besides scientific research activities, he had worked a decade for academic accreditation and earned ABET accreditation twice for three programs at CCSIT, King Faisal University, Saudi Arabia. Dr. Noor Zaman has recently been awarded as a top reviewer (1% globally) by WoS/ISI (Publons). He has edited/authored more than 11 research books with international and reputed publishers, earned several research grants, and has a great number of indexed research articles on his credit. He has supervised several postgraduate students including masters and Ph.D candidates. He is an Associate Editor of IEEE ACCESS, Guest editor of several reputed journals, member of the editorial board of several research journals, and an active TPC member of reputed conferences around the globe.

Low Tang Jung obtained his bachelor’s degree in Computer Technology from Teesside University (UK 1989), MSc IT from National University Malaysia (2001), and PhD IT from Universiti Teknologi PETRONAS (Malaysia 2012). Dr. Low has been in the academic line for more 25 years involving with various engineering and ICT courses. He is currently an Assoc. Prof. in UTP Computer and Information Sciences Department. His research interest includes wireless sensor network, embedded systems, and IoT. Some of his current R&D include blockchain consensus model and IoT applications.

Anang Hudaya Muhamad Amin is an assistant lecturer in the Computer and Information Science (CIS) Division at Higher Colleges of Technology, United Arab Emirates. He received a BTech (Hons.) in information technology from Universiti Teknologi PETRONAS and a masters in network computing and PhD from Monash University. His research interests include artificial intelligence with specialization in distributed pattern recognition and bio-inspired computational intelligence, wireless sensor networks, and distributed computing.

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