Energy And Task Management In Energy Harvesting Wireless Sensor Networks For Structural Health Monitoring
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Energy and Task Management in Energy Harvesting Wireless Sensor Networks for Structural Health Monitoring
Energy harvesting sensor nodes reduce the need for post-deployment physical human interaction by using environmental power and wireless communication; however, they must adapt performance to accommodate the energy availability. This thesis presents three application-independent algorithms that adapt performance based on energy availability for steady and external trigger state conditions. Steady state operation describes the periodic execution of a set of tasks on the system. For steady state operation, a method is presented that adapts the execution rate to achieve high performance while maintaining sufficient energy. External trigger state operation occurs when an external device makes a request to the system. For external trigger state operation, algorithms are used to determine the execution time, energy consumption and performance of the request. These methods are applied to SHiMmer, a wireless, energy-harvesting structural health monitoring platform. Unlike other sensor systems that periodically monitor a structure and route information to a base station, SHiMmer is designed to acquire data using active sensing and process it locally before communicating with an external device. Results from this application demonstrate the controller's ability to adapt at runtime and maintain sufficient energy. Steady state results show that the execution rate changes with weather conditions. On average, the execution rate on a sunny day increases by 62% compared to the rate on cloudy days. External trigger state results show that processing significantly affects the efficiency of a structural health monitoring system; specifically, complex processing requires 17 times less execution time and 2.5 times less energy than transmitting raw data.
Energy Harvesting
Energy Harvesting: Enabling IoT Transformations gives insight into the emergence of energy harvesting technology and its integration with IoT-based applications. The book educates the reader on how energy is harvested from different sources, increasing the effectiveness, efficiency and lifetime of IoT devices. • Discusses the technology and practices involved in energy harvesting for biomedical, agriculture and automobile industries • Compares the performance of IoT-based devices with and without energy harvesting for different applications • Studies the challenges and issues in the implementation of EH-IoT • Includes case studies on energy-harvesting approach for solar, thermal and RF sources • Analyzes the market and business opportunities for entrepreneurs in the field of EH-IoT. This book is primarily aimed at graduates and research scholars in wireless sensor networks. Scientists and R&D workers in industry will also find this book useful.
Energy Harvesting for Wireless Sensor Networks
Author: Olfa Kanoun
language: en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date: 2018-11-19
Wireless sensors and sensor networks (WSNs) are nowadays becoming increasingly important due to their decisive advantages. Different trends towards the Internet of Things (IoT), Industry 4.0 and 5G Networks address massive sensing and admit to have wireless sensors delivering measurement data directly to the Web in a reliable and easy manner. These sensors can only be supported, if sufficient energy efficiency and flexible solutions are developed for energy-aware wireless sensor nodes. In the last years, different possibilities for energy harvesting have been investigated showing a high level of maturity. This book gives therefore an overview on fundamentals and techniques for energy harvesting and energy transfer from different points of view. Different techniques and methods for energy transfer, management and energy saving on network level are reported together with selected interesting applications. The book is interesting for researchers, developers and students in the field of sensors, wireless sensors, WSNs, IoT and manifold application fields using related technologies. The book is organized in four major parts. The first part of the book introduces essential fundamentals and methods, while the second part focusses on vibration converters and hybridization. The third part is dedicated to wireless energy transfer, including both RF and inductive energy transfer. Finally, the fourth part of the book treats energy saving and management strategies. The main contents are: Essential fundamentals and methods of wireless sensors Energy harvesting from vibration Hybrid vibration energy converters Electromagnetic transducers Piezoelectric transducers Magneto-electric transducers Non-linear broadband converters Energy transfer via magnetic fields RF energy transfer Energy saving techniques Energy management strategies Energy management on network level Applications in agriculture Applications in structural health monitoring Application in power grids Prof. Dr. Olfa Kanoun is professor for measurement and sensor technology at Chemnitz university of technology. She is specialist in the field of sensors and sensor systems design.