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  1. Journal on Emerging Technologies in Computing Systems (JETC)
  2. ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 12
  3. Issue 2(Special Issue on Advances in Design of Ultra-Low Power Circuits and Systems in Emerging Technologies), August 2015
  4. Energy-Neutral Design Framework for Supercapacitor-Based Autonomous Wireless Sensor Networks
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ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 13
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 12
Issue 4(Regular Papers), July 2016
Issue 3(Special Issue on Cross-Layer System Design and Regular Papers), September 2015
Issue 2(Special Issue on Advances in Design of Ultra-Low Power Circuits and Systems in Emerging Technologies), August 2015
Guest Editorial: Special Issue on Advances in Design of Ultra-Low Power Circuits and Systems in Emerging Technologies
A Survey on Low-Power Techniques with Emerging Technologies: From Devices to Systems
FinFET-Based Low-Swing Clocking
Dynamic Cache Pooling in 3D Multicore Processors
Low-Power Heterogeneous Graphene Nanoribbon-CMOS Multistate Volatile Memory Circuit
Spintronics: Emerging Ultra-Low-Power Circuits and Systems beyond MOS Technology
Programmable Spike-Timing-Dependent Plasticity Learning Circuits in Neuromorphic VLSI Architectures
Process Variability and Electrostatic Analysis of Molecular QCA
Energy-Neutral Design Framework for Supercapacitor-Based Autonomous Wireless Sensor Networks
Issue 1, July 2015
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 11
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 10
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 9
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 8
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 7
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 6
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 5
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 4
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 3
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 2
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 1

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Energy-Neutral Design Framework for Supercapacitor-Based Autonomous Wireless Sensor Networks

Content Provider ACM Digital Library
Author Le, Trong Nhan Pegatoquet, Alain Berder, Olivier Sentieys, Olivier Carer, Arnaud
Copyright Year 2015
Description Author Affiliation: INRIA, University of Rennes 1, Rennes, France (Sentieys, Olivier); LEAT, University of Nice, Sophia Antipolis, Nice, France (Pegatoquet, Alain); University of Rennes 1, INRIA, Rennes, France (Le, Trong Nhan; Berder, Olivier; Carer, Arnaud)
Abstract To design autonomous wireless sensor networks (WSNs) with a theoretical infinite lifetime, energy harvesting (EH) techniques have been recently considered as promising approaches. Ambient sources can provide everlasting additional energy for WSN nodes and exclude their dependence on battery. In this article, an efficient energy harvesting system which is compatible with various environmental sources, such as light, heat, or wind energy, is proposed. Our platform takes advantage of double-level capacitors not only to prolong system lifetime but also to enable robust booting from the exhausting energy of the system. Simulations and experiments show that our multiple-energy-sources converter (MESC) can achive booting time in order of seconds. Although capacitors have virtual recharge cycles, they suffer higher leakage compared to rechargeable batteries. Increasing their size can decrease the system performance due to leakage energy. Therefore, an energy-neutral design framework providing a methodology to determine the minimum size of those storage devices satisfying energy-neutral operation (ENO) and maximizing system $\textit{quality-of-service}$ (QoS) in EH nodes, when using a given energy source, is proposed. Experiments validating this framework are performed on a real WSN platform with both photovoltaic cells and thermal generators in an indoor environment. Moreover, simulations on OMNET++ show that the energy storage optimized from our design framework is utilized up to 93.86%.
Starting Page 1
Ending Page 21
Page Count 21
File Format PDF
ISSN 15504832
e-ISSN 15504840
DOI 10.1145/2787512
Journal ACM Journal on Emerging Technologies in Computing Systems (JETC)
Volume Number 12
Issue Number 2
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-09-02
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Wireless sensor networks Energy harvesting Energy neutrality Medium access control Power management
Content Type Text
Resource Type Article
Subject Electrical and Electronic Engineering Hardware and Architecture Nanoscience and Nanotechnology Software
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