A Distributed Mobile Fog Computing Scheme for Mobile Delay-Sensitive Applications in SDN-Enabled Vehicular Networks

Lin, Chuan; Han, Guangjie; Qi, Xingyue; Guizani, Mohsen; Shu, Lei

doi:10.1109/tvt.2020.2980934

Cited by 84 publications

(39 citation statements)

References 46 publications

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“…However, as a science of understanding and using information, information science provides a new way of thinking and method for developing scene information collection on the football match. Meanwhile, intelligent computing research aims at bringing intelligence, reasoning, perception, information gathering, and analysis to computer systems [2][3][4]. It provides a new way of thinking for the scene information collection on the football match.…”

Section: Introductionmentioning

confidence: 99%

An Algorithm of Scene Information Collection in General Football Matches Based on Web Documents

Bin

Zhang

2021

Security and Communication Networks

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In order to obtain the scene information of the ordinary football game more comprehensively, an algorithm of collecting the scene information of the ordinary football game based on web documents is proposed. The commonly used T-graph web crawler model is used to collect the sample nodes of a specific topic in the football game scene information and then collect the edge document information of the football game scene information topic after the crawling stage of the web crawler. Using the feature item extraction algorithm of semantic analysis, according to the similarity of the feature items, the feature items of the football game scene information are extracted to form a web document. By constructing a complex network and introducing the local contribution and overlap coefficient of the community discovery feature selection algorithm, the features of the web document are selected to realize the collection of football game scene information. Experimental results show that the algorithm has high topic collection capabilities and low computational cost, the average accuracy of equilibrium is always around 98%, and it has strong quantification capabilities for web crawlers and communities.

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Section: Introductionmentioning

confidence: 99%

An Algorithm of Scene Information Collection in General Football Matches Based on Web Documents

Bin

Zhang

2021

Security and Communication Networks

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“…Through the SDN controller, an abstract view about the networking states can be acquired, and the operations for networking organization can be intensively determined and deployed (Kreutz et al, 2014). The SDN-enabled networking self-organization can provide scalable networking control for the sensor networks, e.g., networking mobility management (Bi et al, 2019;Lin et al, 2020), cross-domain services support, etc., and have attracted intense research interest from both industry and academia. However, although the SDN technologies innovate the networking self-organization services, many challenging issues still have to be confronted and addressed, e.g., how to deploy and determine the SDN controller, how to guarantee the safety of the network control tunnel (Scott-Hayward, 2015), how to define the wireless control interfaces for deploying the self-organization operations, etc.…”

Section: Challenge: Security Secrecy and Privacymentioning

confidence: 99%

Specialty Grand Challenge: Sensor Networks

Han

2021

Front. Sens.

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“…For example, VNs are susceptible to the dynamic road conditions including highly-mobile vehicles and changing of vehicle density, in which both may result in high packet loss and latency. Consequently, as an emerging network paradigm, Software-Defined Vehicular Network (SDVN) has been starting to attract research attention [4], [5], [6], [7], [8], [9] as one of the most important technologies to manage VNs. Similar to the general softwarized network, SDVN separates the data plane and control plane in which the data plane is mainly composed of vehicles, infrastructure; the control plane is a logic controller that provides services for the unit of the data plane with its global view of the network.…”

Section: Introductionmentioning

confidence: 99%

A Novel Cost Optimization Strategy for SDN-Enabled UAV-Assisted Vehicular Computation Offloading

Zhao

Yang

Tan

et al. 2021

IEEE Trans. Intell. Transport. Syst.

156

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Vehicular computation offloading is a well-received strategy to execute delay-sensitive and/or compute-intensive tasks of legacy vehicles. The response time of vehicular computation offloading can be shortened by using mobile edge computing that offers strong computing power, driving these computation tasks closer to end users. However, the quality of communication is hard to guarantee due to the obstruction of dense buildings or lack of infrastructure in some zones. Unmanned Aerial Vehicles (UAVs), therefore, have become one of the means to establish communication links for the two ends owing to its characteristics of ignoring terrain and flexible deployment. To make a sensible decision of computation offloading, nevertheless vehicles need to gather offloading-related global information, in which Software-Defined Networking (SDN) has shown its advances in data collection and centralized management. In this paper, thus, we propose an SDN-enabled UAV-assisted vehicular computation offloading optimization framework to minimize the system cost of vehicle computing tasks. In our framework, the UAV and the Mobile Edge Computing (MEC) server can work on behalf of the vehicle users to execute the delay-sensitive and compute-intensive tasks. The UAV, in a meanwhile, can also be deployed as a relay node to assist in forwarding computation tasks to the MEC server. We formulate the offloading decision-making problem as a multiplayers computation offloading sequential game, and design the UAV-assisted Vehicular Computation Cost Optimization (UVCO) algorithm to solve this problem. Simulation results demonstrate that our proposed algorithm can make the offloading decision to minimize the Average System Cost (ASC).

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A Distributed Mobile Fog Computing Scheme for Mobile Delay-Sensitive Applications in SDN-Enabled Vehicular Networks

Cited by 84 publications

References 46 publications

An Algorithm of Scene Information Collection in General Football Matches Based on Web Documents

An Algorithm of Scene Information Collection in General Football Matches Based on Web Documents

Specialty Grand Challenge: Sensor Networks

A Novel Cost Optimization Strategy for SDN-Enabled UAV-Assisted Vehicular Computation Offloading

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