Intelligent IoT End-Nodes

A special issue of Journal of Low Power Electronics and Applications (ISSN 2079-9268).

Deadline for manuscript submissions: closed (31 December 2017) | Viewed by 13166

Special Issue Editor


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Guest Editor
Department of Electrical Engineering, Eindhoven University of Technology, 5600MB Eindhoven, The Netherlands
Interests: low-power and ultra-low power circuits and systems; (near) subthreshold digital circuits; systems power management; variability-tolerant design of ultra-low voltage circuits; approximate and adequate computing paradigms

Special Issue Information

Dear Colleagues,

One of the foreseen growths in the semiconductor industry is propelled by the Internet of Things (IoT), from servers down to end-nodes just at the interface between humans and cyber-physical systems. The rapid adoption of multi-function devices for societal comfort is driving a change of electronics. The low power end-nodes will provide all kinds of data such that servers will implement the massive cloud-based applications they enable. From a technological perspective, end-nodes are platforms where the knowledge of many domains comes together, from hardware to software. In fact, the swift progress of end-nodes in the healthcare and fitness domains is spreading into other segments like gaming, transportation, industrial, and fashion. The common denominator of these devices is energy consumption since they will be running on small energy supply sources and even on harvesting.

End-nodes are evolving from sophisticated sensor hubs to platforms with cognitive capabilities. In other words, hardware that mimics in some ways human intelligence such as understanding, planning, deciding, and judging as they are fully integrated with perceiving and acting of cyberphysical events. Intelligent hardware technologies that discover and take advantage of contextual information to perform complex data mining and event classification operations must dynamically balance Quality of Experience versus energy budget.

This special issue is soliciting papers in the field of intelligent IoT end nodes. In particular, papers addressing

  • Technology thrust considering computing power, connectivity, and merger of Internet of Things with cognitive systems with smart interactions with the physical world
  • Usability of new technologies, e.g. machine-machine and human-machine interfaces for cyberphysical systems
  • Power autonomy and (near) perpetual operation of end-nodes 

Prof. Dr. José Pineda de Gyvez
Guest Editor

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Published Papers (1 paper)

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Review

14 pages, 2750 KiB  
Review
Multiple Input Energy Harvesting Systems for Autonomous IoT End-Nodes
by Johan J. Estrada-López, Amr Abuellil, Zizhen Zeng and Edgar Sánchez-Sinencio
J. Low Power Electron. Appl. 2018, 8(1), 6; https://doi.org/10.3390/jlpea8010006 - 3 Mar 2018
Cited by 34 | Viewed by 12738
Abstract
The Internet-of-Things (IoT) paradigm is under constant development and is being enabled by the latest research work from both industrial and academic communities. Among the many contributions in such diverse areas as sensor manufacturing, network protocols, and wireless communications, energy harvesting techniques stand [...] Read more.
The Internet-of-Things (IoT) paradigm is under constant development and is being enabled by the latest research work from both industrial and academic communities. Among the many contributions in such diverse areas as sensor manufacturing, network protocols, and wireless communications, energy harvesting techniques stand out as a key enabling technology for the realization of batteryless IoT end-node systems. In this paper, we give an overview of the recent developments in circuit design for ultra-low power management units (PMUs), focusing mainly in the architectures and techniques required for energy harvesting from multiple heterogeneous sources. The paper starts by discussing a general structure for IoT end-nodes and the main characteristics of PMUs for energy harvesting. Then, an overview is given of different published works for multisource power harvesting, observing their main advantages and disadvantages and comparing their performance. Finally, some open areas of research in multisource harvesting are observed and relevant conclusions are given. Full article
(This article belongs to the Special Issue Intelligent IoT End-Nodes)
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