A Review: Image Processing Techniques� Roles towards Energy-Efficient and Secure IoT

• Main Authors: Al-Ghaili A.M., Kasim H., Hassan Z., Al-Hada N.M., Othman M., Kasmani R.M., Shayea I.
• Other Authors: 26664381500
• Format: Review
• Published: MDPI 2024
• Subjects: energy consumption; image processing; intelligent IoT; IoT healthcare systems; IoT monitoring systems; IoT security applications; IoT systems; location detection; object detection
• Institution: Universiti Tenaga Nasional

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. � 2023 by the authors.