Adaptive Energy Management Scheme in Real-time Energy Harvesting Embedded Systems PDF Download
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Author: Shruti Khare
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Author: Shruti Khare
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Author: Shruti Khare
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659177286
Category :
Languages : en
Pages : 72
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Book Description
This work develops an adaptive scheduling algorithm for real-time energy harvesting embedded systems. The algorithm considers both energy and timing constraint of the energy harvesting systems unlike most of the scheduling algorithms. An AFP prediction algorithm was also proposed for a better energy prediction for each slot. Based on this information the initial scheduling, which was designed using the information given by EWMA prediction algorithm, was rescheduled. The purpose was successfully achieved by compensating the extra/less energy harvested from the environment in such a way so that system wide efficiency can be achieved. Using adaptive scheduling we were successfully able to decrease the deadline miss rate of the tasks up to 15-30% in addition to the results accomplished by initial scheduling depending on the amount of energy harvested.
Author: Shaobo Liu
Publisher:
ISBN: 9781124221281
Category : Computer scheduling
Languages : en
Pages : 234
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Book Description
Author: Maryline Chetto
Publisher: Elsevier
ISBN: 0081011571
Category : Computers
Languages : en
Pages : 144
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Book Description
Energy Autonomy of Real-Time Systems addresses foundations and findings in real-time scheduling and processor activity management for energy harvesting embedded systems, serving as a textbook for courses on the topic in master programs, and as a reference for computer scientists and engineers involved in the design or development of autonomous cyber-physical systems which require up-to-date solutions. Develops theoretical models for energy-harvesting real-time systems, including theorems and schedulability analysis Contains scheduling algorithms that are rigorously derived from the theory, based on both real-time and energy constraints Covers future, potential applications centered on the use of self-powered sensor technologies Provides the methodology for developing autonomous real-time systems based on energy harvesting
Author: Nga Dang
Publisher:
ISBN: 9781339124025
Category :
Languages : en
Pages :
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Book Description
Embedded system market growth is fast in the last couple of decades, especially with the current demand for embedded processing to support IoT services. However, to power billions of IoT devices and embedded systems is a challenge. Energy harvesting has emerged as a promising power supply alternative for embedded systems, enabling systems to convert renewable energy sources in the surrounding environment (solar, wind, thermal, kinetic energy, etc.) to electrical energy. Nevertheless, these renewable energy sources often exhibit temporal and spatial variations, which cause uncertainties and fluctuations in the energy supply of the systems. Furthermore, the complex non-ideal characteristics of harvesting circuit components such as converters and energy storage make it even more challenging for energy management. In this thesis, I propose a harvesting-aware and quality-aware energy management middleware framework for solar-powered embedded systems, modeling them as complete Cyber Physical Systems, optimizing performance (Quality of Service), and tackling their mentioned challenges. The energy management middleware framework exploits energy harvesting history, patterns, and prediction algorithms to extrapolate solar harvesting in the next harvesting period. The prediction is used by an offline algorithm to assign QoS for each time slot in the next harvesting period. The objective is to maximize total QoS while meeting energy harvesting constraints. An online adaptation phase is employed to adjust QoS assignment if actual harvesting profile deviates from offline prediction. This thesis explores the notion of application QoS and QoS adaptation in two middlewares for two types of systems: communication-intensive and computation-intensive. In communication-intensive systems, such as wireless sensor networks, where majority of tasks (and energy consumption) are sending and receiving messages, we exploit the tolerance to data inaccuracy in data transmission. In computation-intensive systems such as real-time systems, application QoS can be expressed as quantity and distribution off real-time task completion. In particular, we target firm real-time systems with adaptive QoS. Furthermore, energy harvesting embedded systems require energy storage to smooth out fluctuations and store energy for long term operation. Two types of commonly used energy storage elements are batteries and supercapacitors. Frequent charging and discharging accelerate the aging of batteries while supercapacitors suffer from high leakage. Therefore in this middleware, in orchestration with QoS adaptation, we propose algorithms to keep battery aging under threshold and reduce leakage from supercapacitors. Lastly, as an alternative to prediction and deterministic approach above, we explore stochastic modeling using Finite State Markov Chain and propose a novel unified stochastic model and optimization for solar-powered embedded systems. We observe that stochastic model improves the system’s ability to capture and adapt to variations in energy harvesting supply and application demand.
Author: Jun Lu
Publisher:
ISBN: 9781267651525
Category : Computer scheduling
Languages : en
Pages : 246
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Book Description
Author: Deepti Agarwal
Publisher: CRC Press
ISBN: 1000688984
Category : Computers
Languages : en
Pages : 219
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Book Description
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.
Author: Clemens Moser
Publisher:
ISBN: 9783832282059
Category : Energy harvesting
Languages : en
Pages : 132
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Book Description
Author: Stefano Basagni
Publisher: John Wiley & Sons
ISBN: 1118511239
Category : Technology & Engineering
Languages : en
Pages : 690
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Book Description
"An excellent book for those who are interested in learning the current status of research and development . . . [and] who want to get a comprehensive overview of the current state-of-the-art." —E-Streams This book provides up-to-date information on research and development in the rapidly growing area of networks based on the multihop ad hoc networking paradigm. It reviews all classes of networks that have successfully adopted this paradigm, pointing out how they penetrated the mass market and sparked breakthrough research. Covering both physical issues and applications, Mobile Ad Hoc Networking: Cutting Edge Directions offers useful tools for professionals and researchers in diverse areas wishing to learn about the latest trends in sensor, actuator, and robot networking, mesh networks, delay tolerant and opportunistic networking, and vehicular networks. Chapter coverage includes: Multihop ad hoc networking Enabling technologies and standards for mobile multihop wireless networking Resource optimization in multiradio multichannel wireless mesh networks QoS in mesh networks Routing and data dissemination in opportunistic networks Task farming in crowd computing Mobility models, topology, and simulations in VANET MAC protocols for VANET Wireless sensor networks with energy harvesting nodes Robot-assisted wireless sensor networks: recent applications and future challenges Advances in underwater acoustic networking Security in wireless ad hoc networks Mobile Ad Hoc Networking will appeal to researchers, developers, and students interested in computer science, electrical engineering, and telecommunications.
Author: M. Teresa Higuera-Toledano
Publisher: Springer Science & Business Media
ISBN: 1461419697
Category : Technology & Engineering
Languages : en
Pages : 215
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Book Description
This book describes the emerging field of self-organizing, multicore, distributed and real-time embedded systems. Self ‐organization of both hardware and software can be a key technique to handle the growing complexity of modern computing systems. Distributed systems running hundreds of tasks on dozens of processors, each equipped with multiple cores, requires self‐organization principles to ensure efficient and reliable operation. This book addresses various, so-called Self‐X features such as self-configuration, self‐optimization, self‐adaptation, self‐healing and self‐protection.
