چکیده مقاله
The rapid expansion of the Internet of Things has led to a massive increase in interconnected devices that continuously generate diverse and high frequency data streams, posing significant challenges for managing dynamic data flows in large scale cyber physical systems Digital Twin technology has emerged as a transformative approach that bridges physical and virtual environments through real time synchronization, modeling, and simulation; however, its large scale deployment across IoT networks introduces complex challenges related to performance, scalability, and reliability These challenges span three critical layers data and compute, communication, management and security encompassing issues such as massive data volumes, real time processing, synchronization accuracy, latency reduction, bandwidth optimization, lifecycle orchestration, interoperability, and cybersecurity The convergence of emerging technologies such as Edge Computing, fifth and sixth generation networks, and intelligent optimization techniques offers promising solutions to enhance scalability, reliability, and resilience Ultimately, achieving robust and adaptive Digital Twin ecosystems depends on reimagining network architectures capable of meeting the stringent demands of next generation IoT environments
کلیدواژهها
نویسندگان
Firoozeh Shafiee Aghdam
Department of Computer Engineering, Ha C, Islamic Azad University, Hamedan, Iran
محمد مهدی شیر محمدی
Department of Computer Engineering, Ha C, Islamic Azad University, Hamedan, Iran
شیوه ارجاع
Shafiee Aghdam, Firoozeh and Shirmohammadi, Mohammad Mehdi,1404,Digital Twin of the Physical World: Networking Challenges for Large-Scale IoT Deployments,Conference on Artificial Intelligence in Emerging Economies and Digital Businesses (AIEEDB),Yazd
ارائهشده در
مجموعه مقالات کنفرانس هوش مصنوعی در اقتصادهای نوظهور و کسب وکارهای دیجیتال21 آبان 1404 · یزد