Artificial Intelligence: A New Paradigm for Distributed Sensor Networks on the Internet of Things: A Review
DOI:
https://doi.org/10.31436/ijpcc.v10i1.414Keywords:
Artificial Intelligence, Internet of Things, AIoT (combination of AI and IoT), Distributed Sensor Networks, Sensor Intelligence, Machine Learning, Deep Learning, Edge Computing, Energy Efficiency, Communication and Networking, Applications of AIoT, IoT Technologies, Smart Sensors, Data Security and PrivacyAbstract
The confluence of Artificial 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 sensor networks 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 of Things (IoT). This research advances our understanding of AIoT convergence and lays the groundwork for future breakthroughs in this interesting topic.
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