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      Micro energy harvesting for IoT platform: Review analysis toward future research opportunities

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          Abstract

          Micro-energy harvesting (MEH) is a technology of renewable power generation which is a key technology for hosting the future low-powered electronic devices for wireless sensor networks (WSNs) and, the Internet of Things (IoT). Recent technological advancements have given rise to several resources and technologies that are boosting particular facets of society. Many researchers are now interested in studying MEH systems for ultra-low power IoT sensors and WSNs. A comprehensive study of IoT will help to manage a single MEH as a power source for multiple WSNs. The popular database from Scopus was used in this study to perform a review analysis of the MEH system for ultra-low power IoT sensors. All relevant and important literature studies published in this field were statistically analysed using a review analysis method by VOSviewer software, and research gaps, challenges and recommendations of this field were investigated. The findings of the study indicate that there has been an increasing number of literature studies published on the subject of MEH systems for IoT platforms throughout time, particularly from 2013 to 2023. The results demonstrate that 67% of manuscripts highlight problem-solving, modelling and technical overview, simulation, experimental setup and prototype. In observation, 27% of papers are based on bibliometric analysis, systematic review, survey, review and based on case study, and 2% of conference manuscripts are based on modelling, simulation, and review analysis. The top-cited articles are published in 5 different countries and 9 publishers including IEEE 51%, Elsevier 16%, MDPI 10% and others. In addition, several MEH system-related problems and challenges are noted to identify current limitations and research gaps, including technical, modelling, economic, power quality, and environmental concerns. Also, the study offers guidelines and recommendations for the improvement of future MEH technology to increase its energy efficiency, topologies, design, operational performance, and capabilities. This study's detailed information, perceptive analysis, and critical argument are expected to improve MEH research's viable future.

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          Smart Textile‐Integrated Microelectronic Systems for Wearable Applications

          The programmable nature of smart textiles makes them an indispensable part of an emerging new technology field. Smart textile-integrated microelectronic systems (STIMES), which combine microelectronics and technology such as artificial intelligence and augmented or virtual reality, have been intensively explored. A vast range of research activities have been reported. Many promising applications in healthcare, the internet of things (IoT), smart city management, robotics, etc., have been demonstrated around the world. A timely overview and comprehensive review of progress of this field in the last five years are provided. Several main aspects are covered: functional materials, major fabrication processes of smart textile components, functional devices, system architectures and heterogeneous integration, wearable applications in human and nonhuman-related areas, and the safety and security of STIMES. The major types of textile-integrated nonconventional functional devices are discussed in detail: sensors, actuators, displays, antennas, energy harvesters and their hybrids, batteries and supercapacitors, circuit boards, and memory devices.
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            Flexible PVDF based piezoelectric nanogenerators

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                Author and article information

                Contributors
                Journal
                Heliyon
                Heliyon
                Heliyon
                Elsevier
                2405-8440
                12 March 2024
                30 March 2024
                12 March 2024
                : 10
                : 6
                : e27778
                Affiliations
                [a ]Institute of Visual Informatics, Universiti Kebangsaan Malaysia, Bangi, 43600, Selangor, Malaysia
                [b ]Universidad de Diseño, Innovación y Tecnología, UDIT, Av. Alfonso XIII, 97, 28016 Madrid, Spain
                [c ]Department of Electrical Engineering, Bahauddin Zakariya University, Punjab, Pakistan
                [d ]Department of Electrical and Electronic Engineering, Green University of Bangladesh, Dhaka, 1207, Bangladesh
                [e ]Department of Mechanical Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, 43600, Selangor, Malaysia
                Author notes
                [* ]Corresponding author. Institute of Visual Informatics, Universiti Kebangsaan Malaysia, Bangi, 43600, Selangor, Malaysia. mahidursarker@ 123456ukm.edu.my
                Article
                S2405-8440(24)03809-X e27778
                10.1016/j.heliyon.2024.e27778
                10951613
                38509887
                adf9515f-1f39-41c4-9728-f3d9ce2289ba
                © 2024 The Authors. Published by Elsevier Ltd.

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 13 December 2023
                : 3 March 2024
                : 6 March 2024
                Categories
                Review Article

                internet of things,micro energy harvesting,low-cost sensors,ultra-low power,low power applications

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