Journal ArticleDOI
Enabling Intelligent IoCV Services at the Edge for 5G Networks and Beyond
TLDR
This article addresses computational, storage, connectivity and intelligence concerns using a collaborative approach to engage multiple Internet of Things nodes such as connected- vehicles, drones and mobile devices for the provisioning of QoS-optimal complex service compositions in autonomous mobile networks.Abstract:
The Fifth Generation (5G) communication technology has paved the way for intelligent and diversified Internet of Connected Vehicles (IoCV) services that meet stringent Quality of Service (QoS) requirements Both Artificial Intelligence (AI) and Blockchain are playing and will continue to play an imperative role in providing secure and decentralized resource sharing to solve complex and time-sensitive problems at the edge The integration of both those techniques will enhance the performance of smart vehicular services, especially in beyond 5G (B5G) networks Ensuring secure transactions in complex autonomous network architectures is an immense challenge This article addresses computational, storage, connectivity and intelligence concerns using a collaborative approach to engage multiple Internet of Things (IoT) nodes such as connected- vehicles, drones and mobile devices for the provisioning of QoS-optimal complex service compositions in autonomous mobile networks Continuous and fast compositions emerge using decentralized decisions and interactions with diversified neighboring nodes with the aid of reinforcement learning Blockchain is used to ensure that nodes interact with each other verifiably and record transactions without the need for trusted intermediaries We assess whether having an AI-enabled blockchain collaborative composition solution improves service availability and delivery of smart city vehicular servicesread more
Citations
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Journal ArticleDOI
Joint wireless power transfer and task offloading in mobile edge computing: a survey
Ehzaz Mustafa,Junaid Shuja,S. Khaliq uz Zaman,S. Khaliq uz Zaman,Ali Imran Jehangiri,Sadia Din,Faisal Rehman,Saad Mustafa,Tahir Maqsood,Abdul Nasir Khan +9 more
TL;DR: The state of art work in methodologies of offloading in MEC and WPT to end nodes is encapsulates and compares the state-of-the-art studies based on parameters identified from taxonomy.
Journal ArticleDOI
Intelligent blockchain management for distributed knowledge graphs in IoT 5G environments
Journal ArticleDOI
Design Guidelines for Cooperative UAV-supported Services and Applications
TL;DR: In this article, a Machine Learning (ML) and Artificial Intelligence (AI) solution for Internet of Things (IoT) systems has been presented, especially with the support of Machine Learning and Artificial intelligence solutions.
Journal ArticleDOI
A Federated Learning Approach to Frequent Itemset Mining in Cyber-Physical Systems
TL;DR: Wang et al. as discussed by the authors proposed a federated learning-based embedding model for transaction classification, which takes transaction data as a set of frequent item-sets and learns low dimensional continuous vectors by preserving the frequent item sets contextual relationship.
Journal ArticleDOI
Energy-Aware Blockchain and Federated Learning-Supported Vehicular Networks
TL;DR: In this paper , a solution that integrates the capabilities of both UAVs and Unmanned Ground Vehicles (UGVs) to provide both intelligent connectivity and services to both aerial and ground connected devices is presented.
References
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6G Wireless Networks: Vision, Requirements, Architecture, and Key Technologies
Zhengquan Zhang,Yue Xiao,Zheng Ma,Ming Xiao,Zhiguo Ding,Xianfu Lei,George K. Karagiannidis,Pingzhi Fan +7 more
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Application of Blockchain in Collaborative Internet-of-Things Services
Li Da Xu,Wattana Viriyasitavat +1 more
TL;DR: A smart contract for establishing the trust of process executions that fits into the IoT environment is presented and a consensus approach with selected validators extended from Practical Byzantine Fault Tolerance (PBFT) is introduced to address time and prejudice challenges.
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A Profitable and Energy-Efficient Cooperative Fog Solution for IoT Services
TL;DR: This paper dynamically creates short-term service-level agreements (SLAs) offered to cloud subscribers for service delivery while maximizing user satisfaction and fog profit gains while achieving shared profit gains for the cooperating fogs.
Journal ArticleDOI
A New Era for Cities with Fog Computing
Marcelo Yannuzzi,Frank van Lingen,Anuj Jain,Oriol Lluch Parellada,Manel Mendoza Flores,David Carrera,Juan Luis Perez,D. Montero,Pablo Chacin,Angelo Corsaro,Albert Olive +10 more
TL;DR: The authors show how their converged cloud/fog paradigm not only helps solve the QS problem, but also meets the requirements of a growing number of decentralized services -- an area in which traditional cloud models fall short.
Journal ArticleDOI
A continuous diversified vehicular cloud service availability framework for smart cities
TL;DR: A new service provision scheme to provide continuous availability of diversified cloud services targeting vehicular cloud users through a cluster-based trusted third party (TTP) framework that can adequately discover and deliver cloud services with increased QoE results, minimal overhead burden and reduced end-to-end latency is introduced.