Artificial intelligence a new paradigm for distributed sensor networks on the internet of things: a review

• Main Authors: Zainuddin, Ahmad Anwar, Zakirudin, Muhammad Ammar, Zulkefli, Ahmad Syameer Syafiq, Mazli, Ahmad Muhsin, Mohd Wardi, Muhammad Al Syahmi, Fazail, Muhammad Nazmi, Mohd Razali, Muhammad Irfan Zaki, Yusof, Muhammad Haziq
• Format: Article
• Language: English
• Published: IIUM Press 2024
• Subjects: T10.5 Communication of technical information
• Online Access: http://irep.iium.edu.my/110624/7/110624_Artificial%20intelligence%20a%20new%20paradigm.pdf; http://irep.iium.edu.my/110624/; https://journals.iium.edu.my/kict/index.php/IJPCC/article/view/414; https://doi.org/10.31436/ijpcc.v10i1.414
• Institution: Universiti Islam Antarabangsa Malaysia

The confluence ofArtificial Intelligence(AI)with the Internet of Things (IoT) has created new opportunities for distributed sensor networks in a variety of sectors. The potential of AI as a new paradigm for distributed sensornetworks in the IoT is investigated in this review article, with an emphasis on the convergence of architecture, methodologies, platforms, sensors, devices, energy approaches, communication and networking, and applications. An analysis was conducted to examine the existing research in this field using a comprehensive literature review, revealing notable advancements,and indicating the need for further investigation. Furthermore, Moreover, suggestions and ideas are presented regarding potential innovation within the sector, with a particular emphasis on the imperative for further research and development. Our findings highlight AIoT's transformational ability in allowing more efficient and intelligent sensor networks, with implications for smart homes, healthcare, environmental monitoring, and industrial automation. The potential for harnessing the power of AI holds the key to unlocking novel opportunities and addressing the challenges inherent in dispersed sensor networks within the realm of the Internet ofThings (IoT). This research advances our understanding of AIoT convergence and lays the groundwork for future breakthroughs in this interesting topic.