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A Flow Control Policy Based on the Class of Applications of the Vehicular Networks

Published: 21 November 2017 Publication History

Abstract

Applications for intelligent transportation system provide mechanisms and tools geared to the aid and management of a city's transportation system. These applications are focused on driver safety, as well as on the management and control of the flow of vehicles on the roads. Thus, reducing the impact of congestion and events that may occur on the roads. Most of these applications are offered by information centers in which the vehicle needs access to the internet. In this context, the vehicles need to be connected to an escalation infrastructure in which access to the service is maximized. Therefore, the efficient use of these services is necessary that this connection is continuous. For this, a traffic mobility management mechanism is required that allows a continuous data flow, as well as a transparent access point exchange system enabling that the users do not perceive an interruption in their connection as well as a change in the access point.In this paper, we propose the development of a decision and management mechanism based on fuzzy logic that would indicate whether the vehicle should perform the change of access point or not; and determine to which access point a certain flow should migrate. This mechanism aims to minimize the number of exchanges between access points, eliminating unnecessary exchanges. For the development of this mechanism, we considered the use NS3 simulator to analyze the policy of interface selection and compare it with some related works of the literature. The results showed that the proposed mechanism reduced packet loss, resulting in a shorter delay in the delivery of information.

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    cover image ACM Conferences
    MobiWac '17: Proceedings of the 15th ACM International Symposium on Mobility Management and Wireless Access
    November 2017
    166 pages
    ISBN:9781450351638
    DOI:10.1145/3132062
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    Publication History

    Published: 21 November 2017

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    Author Tags

    1. fuzzy logic
    2. mobility management
    3. network interfaces
    4. vehicular network

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    • (2023)Comparative Study Analysis of ANFIS and ANFIS-GA Models on Flow of Vehicles at Road IntersectionsApplied Sciences10.3390/app1302074413:2(744)Online publication date: 5-Jan-2023
    • (2022)Vehicle-Assisted Data Delivery Based on Trajectory PredictionGLOBECOM 2022 - 2022 IEEE Global Communications Conference10.1109/GLOBECOM48099.2022.10001329(6295-6300)Online publication date: 4-Dec-2022
    • (2022)Performance evaluation of CNN-based pedestrian detectors for autonomous vehiclesAd Hoc Networks10.1016/j.adhoc.2022.102784128:COnline publication date: 1-Apr-2022
    • (2022)Intelligent Transportation Technology EnablersExplainable Artificial Intelligence for Intelligent Transportation Systems10.1007/978-3-031-09644-0_2(27-50)Online publication date: 9-Aug-2022
    • (2022)Optimal Stacked Sparse Autoencoder Based Traffic Flow Prediction in Intelligent Transportation SystemsVirtual and Augmented Reality for Automobile Industry: Innovation Vision and Applications10.1007/978-3-030-94102-4_6(111-127)Online publication date: 24-Feb-2022
    • (2020)On the Impact of SDN for Transmission Power Adaptation and FIB Population in NDN-VANETsProceedings of the 18th ACM Symposium on Mobility Management and Wireless Access10.1145/3416012.3424617(57-66)Online publication date: 16-Nov-2020
    • (2020)Semantic Fusion-based Pedestrian Detection for Supporting Autonomous Vehicles2020 IEEE Symposium on Computers and Communications (ISCC)10.1109/ISCC50000.2020.9219723(1-6)Online publication date: Jul-2020
    • (2020)Artificial intelligence-based vehicular traffic flow prediction methods for supporting intelligent transportation systemsComputer Networks10.1016/j.comnet.2020.107484(107484)Online publication date: Aug-2020
    • (2019)DisTraC: A Distributed and Low-Overhead Protocol for Traffic Congestion Control Using Vehicular Networks2019 IEEE Symposium on Computers and Communications (ISCC)10.1109/ISCC47284.2019.8969603(1-6)Online publication date: Jun-2019
    • (2018)A novel self-adaptive content delivery protocol for vehicular networksAd Hoc Networks10.1016/j.adhoc.2018.02.00573:C(1-13)Online publication date: 1-May-2018

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