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Ultra-low power wearables

Parameshachari, B.D., Rocha, Á. and Fung, C.C.ORCID: 0000-0001-5182-3558 (2021) Ultra-low power wearables. Personal and Ubiquitous Computing .

Link to Published Version: https://doi.org/10.1007/s00779-021-01657-7
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Abstract

The applications related to ultra-low power wearables like internet of things, robotics, intrusion detection, and image security have become a major computing paradigm and the latest disruptive technology after artificial intelligence. Ability of ultra-low power wearables to connect with other systems and applications from low to high level has prompted unprecedented array of applications in all fields of human activity from science, engineering, health, leisure and everyday life, etc. The technological growth in ultra-low power wearables is going hand-by-hand with enormous research efforts by an ever increasing community in a fascinating multidisciplinary field.

The motivation of this special issue is to offer an essential guide to the readers on the applications: internet of things security, wireless sensor network, image processing, intrusion detection, antenna, optimization, and cryptography. The accepted manuscripts are used as a reference text for graduate and undergraduate studies. Hence, the manuscripts are written in plain and easy to follow language and explain every main concept the first time it appears, helping readers with no prior background in the field. It is a “must-read” guide to the subject matter.

This special issue intends to provide a platform for researchers to share innovative work in many applications like internet of things security, wireless sensor network, image processing, intrusion detection, antenna, optimization, and cryptography. After a double-blinded peer-review procedure, 14 papers have been accepted and included in this special issue, which contains different methods to solve different kinds of complex problems.

Item Type: Journal Article
Murdoch Affiliation(s): College of Science, Health, Engineering and Education
Publisher: Springer Verlag
Copyright: © 2021 The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature
URI: http://researchrepository.murdoch.edu.au/id/eprint/62851
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