A Review: Image Processing Techniques’ Roles towards Energy-Efficient and Secure IoT
Source abstract
Abstract
The goal of this review paper is to highlight the image processing techniques’ role in the Internet of Things (IoT), aiming to attain an energy-efficient and secure IoT. IoT-dependent systems (IoTSs) cause heavy usage of energy. This is one of the biggest issues associated with IoTSs. Another issue is that the security of digital content is a big challenge and difficulty. Image processing has recently played an essential role in resolving these difficulties. Several researchers have made efforts to improve future IoTSs, which are summarized in this article. Day-by-day, proposed methods are developed, and thus IoT deployment has been plainly engaged in our everyday activities. Several efficient image-processing techniques that can be utilized by IoTSs to overcome such issues have been proposed. This review paper aims to highlight those proposed methods that can make contributions in this direction. Thus, this study aims to review numerous research studies on this subject. This study looks at 36 publications relevant to image-processing techniques utilized by several types of IoTSs. The innovative work of this review paper is to provide readers with a map of suitable image processing techniques to be used with certain types of IoT systems (i.e., scenarios). Both methodology and analysis have come out with a suggested mind map highlighting a number of proposed solutions (i.e., image processing techniques) that can be suitable to help design an energy-efficient, secure, and intelligent IoT system. We have made some conclusions and projections for future research work.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Currency Recognition and Detection · IoT and Edge/Fog Computing · Internet of Things and AI
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute of Informatics and Computing in Energy (IICE), Universiti Tenaga Nasional (UNITEN), Kajang 43000, Selangor, Malaysia
Department of Informatics, College of Computing and Informatics (CCI), Universiti Tenaga Nasional (UNITEN), Kajang 43000, Selangor, Malaysia
Department of Computing, College of Computing and Informatics (CCI), Universiti Tenaga Nasional (UNITEN), Kajang 43000, Selangor, Malaysia
Shandong Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou 253023, China
School of Chemical and Energy Engineering, Universiti Teknologi Malaysia, Skudai 81310, Johor Bahru, Malaysia
Electronics and Communication Engineering Department, Faculty of Electrical and Electronics Engineering, Istanbul Technical University, 34467 Sarıyer, Turkey
Faculty of Data Science and Information Technology, INTI International University, Nilai 71800, Negeri Sembilan, Malaysia
Funding
Tenaga Nasional Berhad (TNB), Malaysia with TNB SEED FUND · Universiti Tenaga Nasional (UNITEN)
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