A comprehensive survey on blockchain in industrial internet of things: Motivations, research progresses, and future challenges
R Huo, S Zeng, Z Wang, J Shang… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
With rapid development of enabling technologies such as Internet of Things, robotics, and
big data, the fourth industrial revolution known as “Industry 4.0”(I4. 0) has become a great …
big data, the fourth industrial revolution known as “Industry 4.0”(I4. 0) has become a great …
On the edge of the deployment: A survey on multi-access edge computing
Multi-Access Edge Computing (MEC) attracts much attention from the scientific community
due to its scientific, technical, and commercial implications. In particular, the European …
due to its scientific, technical, and commercial implications. In particular, the European …
[HTML][HTML] Green IoT and edge AI as key technological enablers for a sustainable digital transition towards a smart circular economy: An industry 5.0 use case
Internet of Things (IoT) can help to pave the way to the circular economy and to a more
sustainable world by enabling the digitalization of many operations and processes, such as …
sustainable world by enabling the digitalization of many operations and processes, such as …
On the ICN-IoT with federated learning integration of communication: Concepts, security-privacy issues, applications, and future perspectives
The individual and integration use of the Internet of Things (IoT), Information-Centric
Networking (ICN), and Federated Learning (FL) have recently been used in several network …
Networking (ICN), and Federated Learning (FL) have recently been used in several network …
[HTML][HTML] Optimized container scheduling for data-intensive serverless edge computing
Operating data-intensive applications on edge systems is challenging, due to the extreme
workload and device heterogeneity, as well as the geographic dispersion of compute and …
workload and device heterogeneity, as well as the geographic dispersion of compute and …
[HTML][HTML] The pipeline for the continuous development of artificial intelligence models—Current state of research and practice
Companies struggle to continuously develop and deploy Artificial Intelligence (AI) models to
complex production systems due to AI characteristics while assuring quality. To ease the …
complex production systems due to AI characteristics while assuring quality. To ease the …
Distributed artificial intelligence-as-a-service (DAIaaS) for smarter IoE and 6G environments
Artificial intelligence (AI) has taken us by storm, helping us to make decisions in everything
we do, even in finding our “true love” and the “significant other”. While 5G promises us high …
we do, even in finding our “true love” and the “significant other”. While 5G promises us high …
Intelligent cooperative edge computing in internet of things
C Gong, F Lin, X Gong, Y Lu - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
The fusion of edge computing and artificial intelligence (AI) technology is a key enabler for
the smart Internet of Things (IoT). However, these two emerging paradigms face many …
the smart Internet of Things (IoT). However, these two emerging paradigms face many …
Information fusion for edge intelligence: A survey
Edge intelligence capability is expected to enable the development of a new paradigm
integrated with edge computing and artificial intelligence. However, due to the multisource …
integrated with edge computing and artificial intelligence. However, due to the multisource …
Disclosing edge intelligence: A systematic meta-survey
The Edge Intelligence (EI) paradigm has recently emerged as a promising solution to
overcome the inherent limitations of cloud computing (latency, autonomy, cost, etc.) in the …
overcome the inherent limitations of cloud computing (latency, autonomy, cost, etc.) in the …