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A Comprehensive Review of Computing Paradigms, enabling Computation Offloading and Task Execution in Vehicular Networks

Abdul Waheed, Munam Ali Shah, Syed Muhammad Mohsin, Abid Khan, Carsten Maple, Sheraz Aslam, Shahab Shamshirband
2022 IEEE Access  
Road safety, optimized traffic management, and passenger comfort have always been the primary goals of the vehicle networking research community.  ...  INDEX TERMS Multi-access edge computing, vehicular cloud computing, vehicular edge computing, vehicular fog computing, vehicular network, volunteer computing based VANET.  ...  for object identification.  ... 
doi:10.1109/access.2021.3138219 fatcat:lucl4adw4jambmkcpfxahggfke

Guest Editorial Optimization of Electric Vehicle Networks and Heterogeneous Networking in Future Smart Cities

Honghao Gao, Yudong Zhang
2021 IEEE transactions on intelligent transportation systems (Print)  
The article entitled "An edge traffic flow detection scheme based on deep learning in an intelligent transportation system," by Chen et al., proposes a traffic flow detection scheme based on deep learning  ...  The article entitled "Trust-aware service offloading for video surveillance in edge computing enabled Internet of Vehicles," by Xu et al., proposes a trust-aware task offloading method (TOM) for video  ... 
doi:10.1109/tits.2021.3056180 fatcat:do3jyqr535ha3l3u2meoonqb24

Data Traffic Offload from Mobile to Wi-Fi Networks: Behavioural Patterns of Smartphone Users

Siniša Husnjak, Dragan Peraković, Ivan Forenbacher
2018 Wireless Communications and Mobile Computing  
The model was generated through analysis of individual characteristics of 298 smartphone users, based on data collected via online survey as well as the amount of data offloaded from mobile to Wi-Fi networks  ...  Users were segmented into categories based on data volume offloaded from mobile to Wi-Fi networks, and numerous user characteristics were explored to develop a model capable of predicting the probability  ...  for the entire study sample.  ... 
doi:10.1155/2018/2608419 fatcat:drgoe5qz6bcctcykfye3nj72ne

Remote Peering

Ignacio Castro, Juan Camilo Cardona, Sergey Gorinsky, Pierre Francois
2014 Proceedings of the 10th ACM International on Conference on emerging Networking Experiments and Technologies - CoNEXT '14  
Based on ground truth traffic, we also show that remote peering has a substantial potential to offload transit traffic.  ...  Because remote-peering services are provided on layer 2, our results challenge the traditional reliance on layer-3 topologies in modeling the Internet economic structure.  ...  Based on the measurements, our method classifies the E4A interfaces at DE-CIX, France-IX, LoNAP, TorIX, and TlE as remote.  ... 
doi:10.1145/2674005.2675013 dblp:conf/conext/CastroCGF14 fatcat:cdeuji32azexzcumhfspfrg5ea

Traffic Distribution Scheme with ON-OFF Switching Based on Map Information in Heterogeneous Network

Takahiro Sekii, Takaaki Onishi, Shigeaki Ogose
2017 Journal of Signal Processing  
To process increasing data traffic, one of the most effective solutions is data offloading.  ...  The proposed method is effective for a damage-resistant system against natural disasters and an automatic driving system in an intelligent transport system (ITS).  ...  Our proposed method can flexibly process the traffic by ON-OFF switching of traffic offloading in accordance with the transmission quality and user distribution.  ... 
doi:10.2299/jsp.21.239 fatcat:nfyqlmcj5ffqrhe7jlbdseryhi

Guest Editorial: Introduction to the Special Section on Machine Learning-Based Internet of Vehicles: Theory, Methodology, and Applications

Jun Guo, Sunwoo Kim, Henk Wymeersch, Walid Saad, Wei Chen
2019 IEEE Transactions on Vehicular Technology  
For satisfying the quality requirements of different vehicular services, this strategy is based on the results of traffic identification which utilizes deep neural network (DNN) and Multi-Grained Cascade  ...  Wang et al. proposes an intelligent Virtualized Network Functions (VNFs) selection strategy in the article "Intelligent VNFs Selection Based on Traffic Identification in Vehicular Cloud Networks."  ... 
doi:10.1109/tvt.2019.2914747 fatcat:rrpckr7cczfdzmqy7nkbcnsdua

Artificial Intelligence Based Data Offloading Technique for Secure MEC Systems

Fadwa Alrowais, Ahmed S. Almasoud, Radwa Marzouk, Fahd N. Al-Wesabi, Anwer Mustafa Hilal, Mohammed Rizwanullah, Abdelwahed Motwakel, Ishfaq Yaseen
2022 Computers Materials & Continua  
This study introduces an artificial intelligence with metaheuristic based data offloading technique for Secure MEC (AIMDO-SMEC) systems.  ...  Also, an adaptive sampling cross entropy (ASCE) technique is utilized for data offloading in MEC systems.  ...  The presented model contains attack detection, traffic prediction, data offloading and. This method employs a GRU based prediction methodology to traffic detection.  ... 
doi:10.32604/cmc.2022.025204 fatcat:2l66nimjxzfa3brrjldrpnf2i4

Elixir: A High-performance and Low-cost Approach to Managing Hardware/Software Hybrid Flow Tables Considering Flow Burstiness

Yanshu Wang, Dan Li, Yuanwei Lu, Jianping Wu, Hua Shao, Yutian Wang
2022 Symposium on Networked Systems Design and Implementation  
Previous works usually leverage the traffic skewness for flow table splitting, e.g. offloading top 10% largest flows to the hardware can save up to ∼90% CPU resources.  ...  The core idea of Elixir includes three parts, namely, combining sampling-based and counter-based mechanisms for flow rate measurement, separating the replacement of large flows and bursty flows, as well  ...  Brighten Godfrey, and the anonymous reviewers for their constructive comments. Dan Li is the corresponding author.  ... 
dblp:conf/nsdi/Wang0LWSW22 fatcat:tugwe5fowvflfapz4b42q3yzwa

Mobile Traffic Offloading with Forecasting using Deep Reinforcement Learning [article]

Chih-Wei Huang, Po-Chen Chen
2019 arXiv   pre-print
With the explosive growth in demand for mobile traffic, one of the promising solutions is to offload cellular traffic to small base stations for better system efficiency.  ...  The base station control model is trained and verified on an open dataset from a major telecom operator.  ...  DQN FOR MOBILE TRAFFIC OFFLOADING The proposed DQN-based solution takes offloading action every decision time t.  ... 
arXiv:1911.07452v1 fatcat:ifnzestljrgpflwnqpnprfwkt4

Guest Editorial: Special Issue on High-Confidence City IoT for Collaborative Smart City Services

Dongxiao Yu, Xiuzhen Cheng, Falko Dressler, Dariusz R. Kowalski, Weifeng Lv
2020 IEEE Internet of Things Journal  
In "Intelligent offloading for collaborative smart city services in edge computing," Xu et al. studied an intelligent offloading method (IOM) for smart city applications, considering privacy preservation  ...  In "Privacy protection based on stream cipher for spatiotemporal data in IoT," Liu et al. focused on cryptographybased methods to protect participants' private information in unsecured network channels  ... 
doi:10.1109/jiot.2020.3021495 dblp:journals/iotj/YuCDKL20 fatcat:qhvogwzf7rfgnea3ftj4eivs4m

Data Offloading via Optimal Target Set Selection in Opportunistic Networks

Prince Sharma, Shailendra Shukla, Amol Vasudeva
2021 Journal on spesial topics in mobile networks and applications  
We propose a heuristics-based optimal TSS algorithm, a distinctive community identification algorithm, and an opportunistic data offloading algorithm.  ...  Our work focuses on TSS optimization and respective data offloading scheme.  ...  There is an exponentially rising need for attention for mobile data traffic and its offloading alternatives.  ... 
doi:10.1007/s11036-021-01760-2 fatcat:eeulncu3avfgpph36wh5ltyh7u

IEEE Access Special Section Editorial: Artificial Intelligence (AI)-Empowered Intelligent Transportation Systems

Edith Ngai, Chao Chen, Amr M. Tolba, Mohammad S. Obaidat, Fanzhao Wang
2021 IEEE Access  
Current challenges include: how to run computing-intensive applications on vehicles; how to enable real-time feedback between vehicles and the traffic management server based on the current Vehicle-to-Vehicle  ...  In the article "A distributed network intrusion detection system for distributed denial of service attacks in vehicular 69492 This work is licensed under a Creative Commons Attribution 4.0 License.  ...  His work on taxi trajectory data mining was featured in IEEE SPECTRUM in 2011 , 2016 , and 2020.  ... 
doi:10.1109/access.2021.3074996 fatcat:dfyrghfswff6vmdlpa55jxtkjm

Block Chain and Big Data-Enabled Intelligent Vehicular Communication

Shahid Mumtaz, Anwer Al-Dulaimi, Haris Gacanin, Ai Bo
2021 IEEE transactions on intelligent transportation systems (Print)  
In other applications, using big data to identify driver's driving habits and develop usage-based insurance as well as personalized recommend vehicle maintenance services.  ...  Thus, the congestions, incidents, and environmental pollution which are caused by the increasing number of road vehicles and traffics have resulted in hundreds of millions of losses and become a major  ...  An extended offloading algorithm based on deep reinforcement learning is proposed to achieve the optimal offloading strategy for all vehicles while meeting QoS requirements.  ... 
doi:10.1109/tits.2021.3090720 fatcat:nblknyxbzjfslna3h7zrrtozky

Distributed Packet Processing Architecture with Reconfigurable Hardware Accelerators for 100Gbps Forwarding Performance on Virtualized Edge Router

Satoshi Nishiyama, Hitoshi Kaneko, Ichiro Kudo
2017 International Journal of Future Computer and Communication  
In this paper, we propose a distributed architecture that involves reconfigurable hardware accelerators with high-level synthesis technology for virtualized service-edge functions to satisfy migration  ...  The required forwarding performance of a service-edge-router reached more than 100-Gbps in bandwidth on carrier networks.  ...  IMPLEMENTATION OF SERVICE EDGE FUNCTION The next generation network (NGN) is an integrated network that can provide multimedia services such as Internet and telephone based on IP technology.  ... 
doi:10.18178/ijfcc.2017.6.2.485 fatcat:hz574mpf3re2jghf4lmwp5ptea

Joint Demand Forecasting and DQN-Based Control for Energy-Aware Mobile Traffic Offloading

Chih-Wei Huang, Po-Chen Chen
2020 IEEE Access  
With the explosive growth in demand for mobile traffic, one of the promising solutions is to offload cellular traffic to small base stations for better system efficiency.  ...  The base station control model is trained and verified on an open dataset from a major telecom operator.  ...  Focusing on the machine learning-based approach for SON, we contribute: • A novel energy-aware architecture for mobile traffic offloading using DQN.  ... 
doi:10.1109/access.2020.2985679 fatcat:abcazsuerjd5nlyakt3u7mjm6u
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