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Centrally Controlled Mass Data Offloading Using Vehicular Traffic

Benjamin Baron, Promethee Spathis, Herve Rivano, Marcelo Dias de Amorim, Yannis Viniotis, Mostafa H. Ammar
2017 IEEE Transactions on Network and Service Management  
Results show that the centralized controlled offloading architecture can achieve an efficient and fair allocation of concurrent data transfers between major cities in France.  ...  We simulate the performance of our system using real roads traffic counts for France.  ...  In a nutshell, the contributions of this paper are: • Centrally controlled vehicular backhaul.  ... 
doi:10.1109/tnsm.2017.2672878 fatcat:v6tlfpvk6vbkrfrhwgbs6dckjy

Evolution of V2X Communication and Integration of Blockchain for Security Enhancements

Rakesh Shrestha, Seung Yeob Nam, Rojeena Bajracharya, Shiho Kim
2020 Electronics  
Vehicle to Everything (V2X) communications provides driving safety, traffic efficiency, and road information in real-time in vehicular networks.  ...  We investigate the integration of blockchain in 5G-based MEC vehicular networks for security, privacy protection, and content caching.  ...  The latency can be reduced by integrating 5G networks with high bandwidth MEC, using Virtualized Network Functions (VNF) and implementing efficient offloading algorithms for controlling and managing traffic  ... 
doi:10.3390/electronics9091338 fatcat:ryf6h57q45et5mvv65k5xdhpqu

Soft-Defined Heterogeneous Vehicular Network: Architecture and Challenges [article]

Kan Zheng, Lu Hou, Hanlin Meng, Qiang Zheng, Ning Lu, Lei Lei
2015 arXiv   pre-print
Heterogeneous Vehicular NETworks (HetVNETs) can meet various quality-of-service (QoS) requirements for intelligent transport system (ITS) services by integrating different access networks coherently.  ...  Thanks to the centralization and flexibility of the cloud radio access network (Cloud-RAN), soft-defined networking (SDN) can conveniently be applied to support the dynamic nature of future HetVNET functions  ...  SDN DESIGN IN SERVICE One of main features of SDN is the separation of control plane and data plane, and centralization of control functions.  ... 
arXiv:1510.06579v1 fatcat:hkxvkq5afzabpb3ecd4rs2dioa

Cloud Control System Architectures, Technologies and Applications on Intelligent and Connected Vehicles: a Review

Wenbo Chu, Qiqige Wuniri, Xiaoping Du, Qiuchi Xiong, Tai Huang, Keqiang Li
2021 Chinese Journal of Mechanical Engineering  
optimize traffic flow in intelligent transportation.  ...  However, vehicles equipped with on-board sensors still have limitations in acquiring necessary environmental data for optimal driving decisions.  ...  For single-user MEC systems, binary offloading, partial offloading and stochastic models are common task models used. Ref.  ... 
doi:10.1186/s10033-021-00638-4 fatcat:32pl6levhfbsrprxfwct76vfzu

2021 Index IEEE Transactions on Intelligent Transportation Systems Vol. 22

2021 IEEE transactions on intelligent transportation systems (Print)  
Exploiting Traffic Big Data for Autonomous Ship Media streaming Learning-Based Intent-Aware Task Offloading for Air-Ground Integrated Vehicular Edge Computing.  ...  Sohet, B., +, TITS Oct. 2021 6342-6352 Development and Testing of a Novel Game Theoretic De-Centralized Traffic Signal Controller.  ...  ., Correction to "High-Speed Rail Suspension System Health Monitoring Using Multi-Location Vibration Data" [Jul 20 2943-2955] ; TITS Sept. 2021 6088 Hong, S., Lu, J., and Filev, D.P., Driving Behavior  ... 
doi:10.1109/tits.2021.3139738 fatcat:p2mkawtrsbaepj4zk24xhyl2oa

Data Offloading Techniques in Cellular Networks: A Survey

Filippo Rebecchi, Marcelo Dias de Amorim, Vania Conan, Andrea Passarella, Raffaele Bruno, Marco Conti
2015 IEEE Communications Surveys and Tutorials  
Offloading Overhead. The offloading overhead metric evaluates, in a broad sense, the amount of additional control data required by the offloading mechanism.  ...  Note that a control channel, binding the end-nodes to a central entity, is usually required in order to transfer context information.  ... 
doi:10.1109/comst.2014.2369742 fatcat:h6hguvdelrerna75ysrbsxm3yy

Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges [article]

Lei Lei, Yue Tan, Kan Zheng, Shiwen Liu, Kuan Zhang, Xuemin Shen
2020 arXiv   pre-print
The Autonomous Control System (ACS), on the other hand, performs control functions on the physical systems without external intervention over an extended period of time.  ...  The sensors collect information on the system status, based on which the intelligent agents in the IoT devices as well as the Edge/Fog/Cloud servers make control decisions for the actuators to react.  ...  The offloading decisions need to determine whether the IoT devices should offload data to the edge server, and also whether the edge server should further offload data to the cloud.  ... 
arXiv:1907.09059v3 fatcat:z7yksnu4wve7norrjijnu43kvi

Latest trends in telecommunication standards

Xavier Costa-Pérez, Andreas Festag, Hans-Joerg Kolbe, Juergen Quittek, Stefan Schmid, Martin Stiemerling, Joerg Swetina, Hans van der Veen
2013 Computer communication review  
different dimensions: i) core technology enhancements, ii) inter-organizations cooperation for convergence, iii) consideration of raising disruptive technical concepts, and iv) expanding into emerging use  ...  control to offload data traffic to WLANs.  ...  Traffic offload to femtocells or small cells networks: Support for traffic offload from macro cells to femtocells (i.e.  ... 
doi:10.1145/2479957.2479968 fatcat:gjyngsmkorb5xi5y4tsnyweoxy

Beyond deployments and testbeds

Joshua Hare, Lance Hartung, Suman Banerjee
2012 Proceedings of the 10th international conference on Mobile systems, applications, and services - MobiSys '12  
We describe our experiences with deploying a vehicular Internet access service on public transit buses.  ...  continuous service with real users, present various user and usage characteristics in these systems, discuss various design and management strategies for these networks, and explore different network traffic  ...  All authors are supported in part by the following grants of the US National Science Foundation: CNS-1040648, CNS-0916955, CNS-0855201, CNS-0747177, CNS-1064944, and CNS-1059306.  ... 
doi:10.1145/2307636.2307673 dblp:conf/mobisys/HareHB12 fatcat:3run3d5ctjdkrcrgdrlci2bb5y

Reliability-Optimal Cooperative Communication and Computing in Connected Vehicle Systems

Jianshan Zhou, Daxin Tian, Yunpeng Wang, Zhengguo Sheng, Xuting Duan, Victor C.M. Leung
2019 IEEE Transactions on Mobile Computing  
The emergence of vehicular networking enables distributed cooperative computation among nearby vehicles and infrastructures to achieve various applications that may need to handle mass data by a short  ...  Numerical results confirm that vehicular applications with a short deadline and large processing data size can better benefit from the cooperative computation rather than non-cooperative solutions.  ...  Zhou received the B.Sc. and M.Sc. degrees in traffic information engineering and control in 2013 and 2016, respectively.  ... 
doi:10.1109/tmc.2019.2907491 fatcat:lck7ut6uezdrjnmhgbqt4vkmwu

Data Offloading in the Internet of Vehicles Using a Hybrid Optimization Technique

A. Backia Abinaya, G. Karthikeyan
2022 Intelligent Automation and Soft Computing  
For a fast mode of communication, the IoV must offload its data to the nearest edge nodes.  ...  The IoV data are clustered according to the vehicle location, and the grasshopper optimization is employed in selecting the RSU to offload the data.  ...  Data offloading in the cloud is a major problem because of the data traffic in the network.  ... 
doi:10.32604/iasc.2022.020896 fatcat:sz4lgji32bdr5a444j4rr5etie

Integration of 4G LTE and DSRC (IEEE 802.11p) for Enhancing Vehicular Network Performance in IoV Using Optimal Cluster-Based Data Forwarding (OCDF) Protocol

Shaik Mazhar Hussain, Kamaludin Mohamad Yusof, Shaik Ashfaq Hussain, Rolito Asuncion, Syed Ghouse
2021 International Journal of Interactive Mobile Technologies  
Embedded technologies like IoT and Intelligent Transportation, are aimed to build smart networks for IoV to support diverse automated applications such as smart vehicle control, intelligent traffic control  ...  The performance of the proposed algorithm is compared with the existing approaches using the NS-3 simulation tool.  ...  In IoV, vehicles gather data from the surroundings facilitating other vehicles for pollution control, traffic control, and safe navigation.  ... 
doi:10.3991/ijim.v15i14.19201 fatcat:fcg735z24zadje62js36b37qnm

Integration of Blockchain Technology and Federated Learning in Vehicular (IoT) Networks: A Comprehensive Survey

Abdul Rehman Javed, Muhammad Abul Hassan, Faisal Shahzad, Waqas Ahmed, Saurabh Singh, Thar Baker, Thippa Reddy Gadekallu
2022 Sensors  
These issues can be addressed using Federated Learning (FL) and blockchain. FL can be used to address the issues of privacy preservation and handling big data generated in STI management and control.  ...  Advanced machine learning (ML) techniques are being used to strengthen the STI smartness further.  ...  VANET is used as a base station in the proposed framework, and BC is used for computation-intensive task offloading.  ... 
doi:10.3390/s22124394 pmid:35746176 pmcid:PMC9229631 fatcat:4p7klbusnndtdf2r2us6fp23xa

Air-Ground Integrated Mobile Edge Networks: A Survey

Wen Zhang, Longzhuang Li, Ning Zhang, Tao Han, Shangguang Wang
2020 IEEE Access  
Conventional cloud computing requires transmission of massive amount of data in and out of core network, which can lead to longer service latency and potential traffic congestion.  ...  With MEC, data can be processed locally, and thus mitigate issues of latency and congestion.  ...  By exploiting traffic data to predict traffic congestion, UAVs then can assist vehicular networks better.  ... 
doi:10.1109/access.2020.3008168 fatcat:544d6keravgozkdktd6tfhry7e

Blockchain for Edge of Things: Applications, Opportunities, and Challenges [article]

Thippa Reddy Gadekallu, Quoc-Viet Pham, Dinh C. Nguyen, Praveen Kumar Reddy Maddikunta, N Deepa, Prabadevi B, Pubudu N. Pathirana, Jun Zhao, Won-Joo Hwang
2021 arXiv   pre-print
Subsequently, we discuss the use of BEoT in a wide range of industrial applications, from smart transportation, smart city, smart healthcare to smart home and smart grid.  ...  Security challenges in BEoT paradigm are also discussed and analyzed, with some key services such as access authentication, data privacy preservation, attack detection, and trust management.  ...  For example, BEoT has been used to provide secure smart city services such as reliable vehicular management and low-latency traffic control [16] .  ... 
arXiv:2110.05022v1 fatcat:cluqv67o2jcpnoif75gwatayrm
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