Chew / Ruan / Xu | Self-Powered Systems | Buch | 978-1-041-22285-9 | www.sack.de

Buch, Englisch, 330 Seiten, Format (B × H): 156 mm x 234 mm

Chew / Ruan / Xu

Self-Powered Systems

Energy Harvesting, Power Management, and Wireless Communications
1. Auflage 2027
ISBN: 978-1-041-22285-9
Verlag: Taylor & Francis Ltd

Energy Harvesting, Power Management, and Wireless Communications

Buch, Englisch, 330 Seiten, Format (B × H): 156 mm x 234 mm

ISBN: 978-1-041-22285-9
Verlag: Taylor & Francis Ltd


Self-Powered Systems: Energy Harvesting, Power Management and Wireless Communication explains how ambient energy can power autonomous electronic and wireless systems. It compares major harvesting technologies and explains rectification, DC-to-DC conversion, maximum-power-point tracking, storage, cold start, and energy neutrality. The book also addresses intermittent computing, checkpointing, energy-aware scheduling, hardware-software co-design, and low-power communication including BLE, Zigbee, LoRaWAN, backscatter, and Ambient IoT. It explains how ambient energy can support autonomous electronic and wireless systems. The book covers harvesting technologies, power management, energy storage, intermittent computing, and low-power communication, linking theory with practical design across industrial, infrastructure, healthcare, wearable, and environmental sensing.

Key Features

- Integrates energy harvesting, power management, storage, computation, and wireless communication within a unified system-design framework.

- Compares photovoltaic, electromagnetic, radio-frequency, triboelectric, piezoelectric, and thermoelectric energy-harvesting technologies.

- Explains rectification, DC-to-DC conversion, maximum-power-point tracking, energy storage, cold start, and energy and power neutrality.

- Examines intermittent computing through checkpointing, persistent state, task-based execution, and energy-aware scheduling.

- Evaluates BLE, Zigbee, Wi-Fi HaLow, LoRaWAN, cellular LPWAN, backscatter, and Ambient IoT for energy-constrained systems.

- Addresses hardware-software co-design, source variability, impedance matching, communication duty cycles, and reliable autonomous operation.

- Connects harvesting and communication technologies with applications in industrial monitoring, infrastructure, transport, healthcare, wearables, and environmental sensing.

This book is for readers developing autonomous wireless sensing and IoT systems who require practical knowledge of energy harvesting, power management, intermittent computing, low-power communication, and Ambient IoT technologies. It is for students, researchers, practising engineers, and technology developers in electronics, electrical engineering, energy systems, embedded systems, wireless communication, and the Internet of Things.

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Zielgruppe


Academic

Weitere Infos & Material


1. Introduction to Self-Powered Systems 2. Solar and Light Energy Harvesting 3. Electromagnetic Energy Harvesting 4. Triboelectric Energy Harvesting 5. Piezoelectric Energy Harvesting 6. Thermal Energy Harvesting 7. Power Management Circuits 8. Intermittent Computing 9. Wireless Communication for Energy-Harvesting-Powered WSS 10. Future Trends and Research Directions


Zheng Jun Chew is a Senior Lecturer in Energy Harvesting Power Management at the University of Exeter. His research focuses on selfpowered systems, including energy harvesting, power management, and wireless sensor networks for various applications in industrial, environmental, and healthcare settings. He is a Chartered Engineer with the Institution of Engineering and Technology (IET), and also a Senior Member of IEEE. He has 3 patents in self-powered systems.

Tingwen Ruan is a Jiangsu Distinguished Professor at Nanjing University of Posts and Telecommunications, China. He received his Ph.D. from the University of Exeter, UK, in 2019. His research focuses on energy harvesting, self-powered wireless sensor systems, and low-power wireless communication for industrial, environmental, and healthcare applications, with related interests in knowledge graphs, domain knowledge modelling, scenario-specific intelligent agents, and large language model (LLM)-based decision support for intelligent sensing systems.

Wei Xu is a Lecturer in Electronic Science and Technology at the Nanjing University of Posts and Telecommunications. His research has long focused on wearable electronics and self-powered systems, especially using triboelectric energy harvesting.



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