This book covers cutting edge advancements on self-powered Internet of Things, where sensing devices can be energy-positive while capturing context from the physical world. It provides new mechanisms for activity recognition without the need of conventional inertial sensors, which demand significant energy during their operation and thus quickly deplete the batteries of internet-of-things (Io T) devices. The book offers new solutions by employing energy harvesters as activity sensors as well as power sources to enable the autonomous and self-powered operation of Io T devices without the need of human intervention. It provides useful content for graduate students as well as researchers to understand the nascent technologies of human activity, fitness and health monitoring using autonomous sensors. In particular, this book is very useful for people working on pervasive computing, activity recognition, wearable Io T, fitness/healthcare and autonomous systems.
This book covers a broad range of topics related to self-powered activity recognition. The main topics of this book include wearables, Io T, energy harvesting, energy harvesters as sensors, activity recognition and self-powered operation of Io T devices. This book starts with the introduction of wearable Io T devices and activity recognition and then highlights the conventional activity recognition mechanisms. After that, it describes the use of energy harvesters to power the Io T devices. Later, it explores the use of various energy harvesters as activity sensors. It also proposes the use of energy harvesters as simultaneous source of energy and context information and defines the emerging concept of energy-positive sensing compared to conventional energy-negative sensing. Finally, it explores sensor/signal fusion to enhance the performance using multiple energy harvesters and charts a way forward for future research in this area.
This book covers all important and emerging topics that have significance in the design and implementation of autonomous wearable Io T devices. We believe that this book will lay the foundation for designing self-powered Io T devices which can ultimately replace the conventional wearable Io T devices which need regular recharging and replacement.
Tabla de materias
Introduction.- Background.- Energy harvesting to power the Io T devices.- Energy harvesters as activity sensors.- Energy harvesters as a simultaneous source of energy and activity information.- Energy-Positive Activity Recognition.- Fusion of multiple energy harvesters.- Conclusion and Future Work.
Sobre el autor
Raja Jurdak is a Professor of Distributed Systems and Chair in Applied Data Sciences at Queensland University of Technology, and Director of the Trusted Networks Lab. He received the the Ph D degree in information and computer science, University of California, Irvine. Professor Jurdak established and led the Distributed Sensing Systems Group at CSIRO’s Data61, to become one of the world’s leading large scale sensing research groups, from 2011 to 2019. He also spent time as visiting academic at MIT and Oxford University in 2011 and 2017. His research interests include trust, mobility and energy-efficiency in networks. Prof. Jurdak has published over 230 peer-reviewed publications, including 3 authored books in the areas of Internet of Things, Cyberphysical Systems, and Blockchain. His publications have attracted over 12, 000 citations, with an h-index of 48. He was an Embark Fellow in 2006, and Endeavour Fellow in 2011, and has won the CSIRO Medal for Environmental Achievement in 2011. He serves on the editorial board of Ad Hoc Networks, Nature Scientific Reports, and on the organising and technical program committees of top international conferences, including Percom, ICBC, IPSN, Wo WMo M, and ICDCS. He was TPC co-chair of IEEE ICBC in 2021. He is a conjoint professor with the University of New South Wales, a Senior Member of the IEEE and a Distinguished Visitor of the IEEE Computer Society.
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