Advancements and artificial intelligence approaches in antennas for environmental sensing

Lalbakhsh, A; Simorangkir, RBVB; Bayat-Makou, N; Kishk, AA; Esselle, KP

Advancements and artificial intelligence approaches in antennas for environmental sensing

Lalbakhsh, A Simorangkir, RBVB Bayat-Makou, N Kishk, AA Esselle, KP

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Publisher:: Elsevier
Publication Type:: Chapter
Citation:: Artificial Intelligence and Data Science in Environmental Sensing, 2022, pp. 19-38
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Lalbakhsh, A
dc.contributor.author	Simorangkir, RBVB
dc.contributor.author	Bayat-Makou, N
dc.contributor.author	Kishk, AA
dc.contributor.author	Esselle, KP
dc.date.accessioned	2023-03-26T06:07:43Z
dc.date.available	2023-03-26T06:07:43Z
dc.date.issued	2022-01-01
dc.identifier.citation	Artificial Intelligence and Data Science in Environmental Sensing, 2022, pp. 19-38
dc.identifier.isbn	9780323905077
dc.identifier.uri	http://hdl.handle.net/10453/168395
dc.description.abstract	Environmental sensors have come a long way over the last decade, surged in variety and capabilities. Such growth was impossible without developing wireless technologies, particularly antennas, thanks to advanced numerical computation software and artificial intelligence (AI). Sensors have numerous applications in industrial environments for purposes such as safety improvement, data acquisition, and environment and human body monitoring. For wireless sensor networks (WSNs), there may be several antennas to send the sensing data. However, further developments in the invention of planar antennas have opened up an unprecedented direction in the miniaturization of wireless sensors. Consequently, unobtrusive human-centric wireless sensing is becoming far more accessible due to the recent developments of epidermal antennas. Moreover, AI and its integration into antenna designs have resulted in more efficient WSNs. This chapter reviews the printed antennas for WSNs, explains how printed antenna sensors can be used for material characterization, gives an overview of epidermal antenna for unobtrusive human-centric wireless communications and sensing, and finally reviews the recent AI-based approaches in designing antennas.
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Artificial Intelligence and Data Science in Environmental Sensing
dc.relation.isbasedon	10.1016/B978-0-323-90508-4.00004-6
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Advancements and artificial intelligence approaches in antennas for environmental sensing
dc.type	Chapter
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2023-03-26T06:07:39Z
pubs.publication-status	Published

Abstract:

Environmental sensors have come a long way over the last decade, surged in variety and capabilities. Such growth was impossible without developing wireless technologies, particularly antennas, thanks to advanced numerical computation software and artificial intelligence (AI). Sensors have numerous applications in industrial environments for purposes such as safety improvement, data acquisition, and environment and human body monitoring. For wireless sensor networks (WSNs), there may be several antennas to send the sensing data. However, further developments in the invention of planar antennas have opened up an unprecedented direction in the miniaturization of wireless sensors. Consequently, unobtrusive human-centric wireless sensing is becoming far more accessible due to the recent developments of epidermal antennas. Moreover, AI and its integration into antenna designs have resulted in more efficient WSNs. This chapter reviews the printed antennas for WSNs, explains how printed antenna sensors can be used for material characterization, gives an overview of epidermal antenna for unobtrusive human-centric wireless communications and sensing, and finally reviews the recent AI-based approaches in designing antennas.

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http://hdl.handle.net/10453/168395