Low-Power Reconfigurable Miniature Sensor Nodes for Condition Monitoring

Nylanden, Teemu; Boutellier, Jani; Nikunen, Karri; Hannuksela, Jari; Silvén, Olli

doi:10.1007/s10766-013-0302-5

Cited by 7 publications

(3 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several researchers have investigated the need for nodelocal processing to extract features and to conserve energy [47]- [49], however, they typically conclude that Field-Programmable Gate Arrays (FPGA) and custom Systemon-Chips (SoC) are required to enable adequate node-local processing and reconfiguration. ReFrAEN shows that this is possible in software by optimizing node-local processing together with deep configurability of the sensing and computing firmware of the IoT device to selectively present essential data.…”

Section: Related Workmentioning

confidence: 99%

ReFrAEN: a Reconfigurable Vibration Analysis Framework for Constrained Sensor Nodes

Thangarajan

Yang

Joosen

et al. 2021

2021 17th International Conference on Distributed Computing in Sensor Systems (DCOSS)

View full text Add to dashboard Cite

Section: Related Workmentioning

confidence: 99%

ReFrAEN: a Reconfigurable Vibration Analysis Framework for Constrained Sensor Nodes

Thangarajan

Yang

Joosen

et al. 2021

2021 17th International Conference on Distributed Computing in Sensor Systems (DCOSS)

View full text Add to dashboard Cite

“…Indoors, because the artificial lighting produces much narrower bandwidth than the sun, the achieved efficiency is much lower. The harvested power per square centimeter in outdoors and in indoors is in the order of 10 mW and 0.01 mW, respectively [5].…”

Section: Introductionmentioning

confidence: 99%

Automatic charging of an energy harvesting powered sensor node from controllable energy source

Petäjäjärvi

Kaleva

Mikhaylov

et al. 2018

2018 14th International Wireless Communications &Amp; Mobile Computing Conference (IWCMC)

View full text Add to dashboard Cite

Abstract-It is expected that the number of the Internet of Things (IoT) devices will grow significantly in the coming years. Batteries, which are today the most common source of energy supply for these devices, have many limitations. The limited capacity and the negative environmental effect of their production and recycling are among the most crucial ones. Energy harvesting has been proposed to overcome this problem. Over the past decade, the academia has produced thousands of papers on this topic, but it is still difficult to find a commercial sensor node operating solely with energy harvesting. One of the major reasons for this is the highly opportunistic and unreliable nature of the energy income from most of the available ambient energy sources. In this paper, we address this problem by proposing a control loop enabling an energy harvesting sensor to request a recharge whenever needed. Energy-wise, the proposed method effectively transforms the operation mode of a passive wireless device from opportunistic to proactive, thus enabling an application to operate in a more predictable manner. The feasibility and efficiency of the proposed approach is demonstrated by implementing a real-life prototype Bluetooth Low Energy capable sensor node equipped with photovoltaic energy harvester, which can communicate and request a recharge from a commercial indoor smart lighting system.

show abstract

“…One of the major limitations for the latter are the restrictions imposed by the radio frequency regulations, which are brietly discussed below. Table I summarizes the reported energy volumes for different techniques [11]. In RF energy transmission radio regulations are taken into account.…”

Section: Introductionmentioning

confidence: 99%

Experimental RF-signal based wireless energy transmission

Janhunen

Mikhaylov

Petäjäjärvi

2017

2017 European Conference on Networks and Communications (EuCNC)

View full text Add to dashboard Cite

Abstract-The distributed measurement and control systems employing wireless connectivity are commonly seen as the key enablers for many novel industry, retail and consumer applications. Even though, the fast spread of large wireless sensor networks today is obstructed by the absence of solutions, which are at the same time dependable, and can minimize both capital and operational expenditures. In this respect the devices, which are powered with the energy collected from their environment, look very attractive. Among all of them, the systems collecting the energy from a designated wireless (i.e., radio frequency (RF)) channel can often enjoy a more stable energy income, which makes them more dependable than their counterparts. Due to this reason, in the current paper we focus on and discuss the key techniques and design aspects enabling development of a real-Iife RF-powered wireless sensor device. Namely, we address the problems of designing an antenna and the energy harvesting circuit with feasible efficiency. In addition, we detail particular aspects related to the design of a sensor node and optimizing its computing and communication. The developed device is tested in harsh environment as a part of a fast rotating mechanical structure, showing the feasibility of the proposed solutions. The technology discussed in the paper is an important part of the upcoming 5G and loT development and deployment.

show abstract

Low-Power Reconfigurable Miniature Sensor Nodes for Condition Monitoring

Cited by 7 publications

References 19 publications

ReFrAEN: a Reconfigurable Vibration Analysis Framework for Constrained Sensor Nodes

ReFrAEN: a Reconfigurable Vibration Analysis Framework for Constrained Sensor Nodes

Automatic charging of an energy harvesting powered sensor node from controllable energy source

Experimental RF-signal based wireless energy transmission

Contact Info

Product

Resources

About