Biologically-Inspired Energy Harvesting through Wireless Sensor Technologies

Biologically-Inspired Energy Harvesting through Wireless Sensor Technologies

Vasaki Ponnusamy (Universiti Tunku Abdul Rahman, Malaysia), Noor Zaman (King Faisal University, Saudi Arabia), Tang Jung Low (Universiti Teknologi Petronas, Malaysia) and Anang Hudaya Muhamad Amin (Multimedia University, Malaysia)
Release Date: April, 2016|Copyright: © 2016 |Pages: 318|DOI: 10.4018/978-1-4666-9792-8
ISBN13: 9781466697928|ISBN10: 146669792X|EISBN13: 9781466697935


The need for sustainable sources of energy has become more prevalent in an effort to conserve natural resources, as well as optimize the performance of wireless networks in daily life. Renewable sources of energy also help to cut costs while still providing a reliable power sources.

Biologically-Inspired Energy Harvesting through Wireless Sensor Technologies highlights emerging research in the areas of sustainable energy management and transmission technologies. Featuring technological advancements in green technology, energy harvesting, sustainability, networking, and autonomic computing, as well as bio-inspired algorithms and solutions utilized in energy management, this publication is an essential reference source for researchers, academicians, and students interested in renewable or sustained energy in wireless networks.

Topics Covered

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

  • Energy Loss
  • Green Transportation
  • Internet of Things
  • Microbial Fuel Cells
  • Renewable Energy
  • Vibration-Based Devices
  • Wireless Power Transmission System

Reviews and Testimonials

International contributors in engineering, computer science, electronics, and electrical engineering present the latest work in biologically-inspired energy harvesting and transmission technologies, which includes harvesting energy from solar, wind, or other environmental sources, as well as harvesting energy from body heat and foot strikes and converting it to electrical energy. Section 1 introduces biologically-inspired computing, describing applications of vibration-based energy harvesting devices and biologically-inspired wireless power transmission systems. Section 2, the bulk of the book, presents work on energy harvesting in wireless sensor networks. Some specific topics include solar powered smart street lights, harvesting energy from microbial fuel cells, and modeling green transportation systems. Section 3 considers current and future trends in combining biologically-inspired computing with energy harvesting in WSN and energy transmission. The book’s readership includes those in academic and industrial communities.

– ProtoView Reviews

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

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.
Noor Zaman acquired his degree in Engineering in 1998, and Master’s in Computer Science at the University of Agriculture at Faisalabad in 2000. His academic achievements further extended with a PhD in Information Technology at University Technology Malaysia (UTP). He has vast experience of 16 years in the field of teaching and research. He is currently working as an Assistant Professor at the College of Computer Science and Information Technology, King Faisal University, in Saudi Arabia. He has contributed well in King Faisal University for achieving ABET Accreditation, by working as a member and Secretary for Accreditation and Quality cell for more than 08 years. He takes care of versatile operations including teaching, research activities, leading ERP projects, IT consultancy and IT management. He headed the department of Information Technology (IT), and administered the prometric center in the Institute of Business and Technology (BIZTEK), in Karachi Pakistan. He has worked as a consultant for Network and Server Management remotely in Apex Canada USA base Software house and call center. Dr. Zaman has authored several research papers, and edited five international reputed Computer Science area books, has many publications to his credit. He is an Associate Editor, Regional Editor and Reviewer for reputed international journals and conferences around the world. He has completed several research grants and currently involved with funded projects in different courtiers. His areas of interest include Wireless Sensor Network (WSN), Internet of Things IoT, Mobile Application Programming, Ad hoc Networks, Cloud Computing, Big Data, Mobile Computing, Software Engineering, Unix, and Linux.
Tang Jung Low obtained his Bachelor of Engineering in Computer Technology from Teesside University, UK (1989), MSc IT from National University of Malaysia (2001), and his PhD in IT from Universiti Teknologi PETRONAS (UTP), Malaysia (2012). He is currently a Senior Lecturer in the Computer and Information Sciences Department of UTP. Dr. Low has been in the academic line for two decades already as lecturer cum researcher in various public and private institutes of higher learning. He teaches various engineering and ICT courses. His research interest include wireless/mobile technology, embedded systems, wireless sensor networking, robotics, and Green IT. His current R&D include: bio-inspired energy efficient routing in WSN, sensors location optimization, and green by IT.
Anang Hudaya Muhamad Amin is a senior lecturer in the Faculty of Information Science and Technology at Multimedia University in Malaysia. 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.