Towards autonomous smart sensing systems

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dc.contributor.author Haigh, Peter
dc.contributor.author Hayes, Michael
dc.contributor.author Gawade, Dinesh R.
dc.contributor.author O'Flynn, Brendan
dc.date.accessioned 2020-08-21T09:44:22Z
dc.date.available 2020-08-21T09:44:22Z
dc.date.issued 2020-06-30
dc.identifier.citation Haigh, P., Hayes, M., Gawade, D. R. and O'Flynn, B. (2020) 'Towards autonomous smart sensing systems', Instrumentation and Measurement Technology Conference (I2MTC), Dubrovnik, Croatia, 25 - 28 May. doi: 10.1109/I2MTC43012.2020.9128887 en
dc.identifier.startpage 1 en
dc.identifier.endpage 6 en
dc.identifier.isbn 978-1-7281-4460-3
dc.identifier.isbn 978-1-7281-4461-0
dc.identifier.issn 2642-2069
dc.identifier.uri http://hdl.handle.net/10468/10411
dc.identifier.doi 10.1109/I2MTC43012.2020.9128887 en
dc.description.abstract Since the 1990's, researchers in both academia and industry have been exploring ways to exploit the potential for Wireless Sensor Networks (WSNs) to revolutionize our understanding of -and interaction with -the world around us. WSNs have therefore been a major focus of research over the past 20 years. While WSNs offer a persuasive solution for accurate real-time sensing of the physical world, they are yet to be as ubiquitous as originally predicted when the technology was first envisaged. Technical difficulties exist which have inhibited the anticipated uptake in WSN technologies. The most challenging of these have been identified as system reliability, battery lifetime, maintenance requirements, node size and ease of use. Over the past decade, the Wireless Sensor Networks (WSN) group at the Tyndall National Institute, has been at the forefront of driving the vision of ubiquitously deployed, extended lifetime, low power consumption embedded systems providing information rich data streams wirelessly in (close to) real-time. In this time, the WSN group has developed multiple novel, first of kind, wireless multi-sensor systems and deployed these in the world around us, overcoming the technical challenges associated with ensuring robust and reliable long-term data sets from our environment. This work is focused on investigating and addressing these challenges through the development of the new technologies and system integration methodologies required to facilitate and implement WSNs and validate these in real deployments. Specifically, discussed are the development and deployment of novel WSN systems in the built environment, environmental monitoring and fitness and health monitoring systems.The key research challenges identified and discussed are:a)The development of resource-constrained, extremely low power consumption systems incorporating energy-efficient hardware and software algorithms.b)The development of highly reliable extremely long duration deployments which through the use of appropriate energy harvesting solutions facilitate (near) zero maintenance sensor networks.c)The development of low power consumption miniaturized wearable microsysteThe development of technologies to address these challenges in terms of cost, size, power consumption and reliability which need to be tested and validated in real world deployments of wireless sensing systems is discussed. It is clear that when looking at the scale up of deployments of novel WSNs, that to be successful, such systems need to "be invisible, last forever, cost nothing and work out of the box". This paper describes these relevant technologies and associated project demonstrators. en
dc.description.sponsorship Science Foundation Ireland (Grant Number 16/RC/3918-CONFIRM); Enterprise Ireland (Project MISCHIEF 13/RC/207) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) en
dc.relation.uri https://i2mtc2020.ieee-ims.org/
dc.rights © 2020, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. en
dc.subject Energy harvesting en
dc.subject Smart systems en
dc.title Towards autonomous smart sensing systems en
dc.type Conference item en
dc.internal.authorcontactother Peter Haigh, Tyndall Microsystems, University College Cork, Cork, Ireland. +353-21-490-3000 Email: peter.haigh@tyndall.ie en
dc.internal.availability Full text available en
dc.date.updated 2020-08-21T09:18:59Z
dc.description.version Accepted Version en
dc.internal.rssid 528100078
dc.contributor.funder Science Foundation Ireland en
dc.contributor.funder European Regional Development Fund en
dc.contributor.funder Horizon 2020 en
dc.contributor.funder Enterprise Ireland en
dc.description.status Peer reviewed en
dc.internal.copyrightchecked Yes
dc.internal.licenseacceptance Yes en
dc.internal.conferencelocation Dubrovnik, Croatia en
dc.internal.IRISemailaddress peter.haigh@tyndall.ie en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2077/IE/CONNECT: The Centre for Future Networks & Communications/ en
dc.relation.project info:eu-repo/grantAgreement/EC/H2020::IA/680517/EU/Modelling Optimization of Energy Efficiency in Buildings for Urban Sustainability/MOEEBIUS en
dc.relation.project info:eu-repo/grantAgreement/EC/H2020::IA/814496/EU/Active & intelligent PAckaging materials and display cases as a tool for preventive conservation of Cultural Heritage./APACHE en
dc.relation.project info:eu-repo/grantAgreement/EC/H2020::IA/768576/EU/Residential Retrofit assessment platform and demonstrations for near zero energy and CO2 emissions with optimum cost, health, comfort and environmental quality./ReCO2ST en
dc.relation.project info:eu-repo/grantAgreement/EC/H2020::RIA/723145/EU/Ecosystem for Collaborative Manufacturing Processes – Intra- and Interfactory Integration and Automation/COMPOSITION en
dc.relation.project info:eu-repo/grantAgreement/EC/FP7::SP4::SME/285848/EU/Intelligent Monitoring System based on Acoustic Emissions Sensing for Plant Condition Monitoring and Preventative Maintenance/MOSYCOUSIS en
dc.identifier.eissn 2642-2077


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