Navigating the Future of the Internet of Things: Emerging Trends and Transformative Applications
Sarathkumar Rangarajan
Victorian Institute of Technology, Melbourne
Tahsien Al-Quraishi
Victorian Institute of Technology, Melbourne
DOI: https://doi.org/10.58496/BJIoT/2023/002
Keywords: IoT, Artificial Intelligence (AI), Machine Learning (ML), Edge computing, Digital twins
Abstract
This editorial navigates the transformative landscape of emerging technologies within the Internet of Things (IoT), aiming to unravel their interconnected impact and humanistic implications across diverse domains. As scholarly voyagers in the realm of technological innovation, this paper delineates the synergistic interplay between blockchain integration, edge computing, Artificial Intelligence (AI)/Machine Learning (ML), digital twins, and IoT-driven smart cities. Each section of this editorial unravels the significance and applications of these technologies: blockchain fortifies IoT security, edge computing enables real-time decision-making, AI/ML augments device intelligence, digital twins refine simulations, and IoT-driven smart cities encapsulate these advancements for societal betterment. Beyond technical expositions, this narrative aspires to humanize scholarly discourse, weaving ethical considerations, interdisciplinary collaborations, and societal implications into the fabric of technological advancement. The editorial concludes by synthesizing these insights, advocating for a more connected, sustainable, and ethically informed future. Through this scholarly expedition, the aim is to inspire dialogue, stimulate interdisciplinary collaborations, and chart a course toward a future where technology converges harmoniously with societal enhancement.