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On scheduling vehicle-roadside data access

Published: 10 September 2007 Publication History

Abstract

As vehicular networks become popular, more and more people want to access data from their vehicles. When many vehicles want to access data through a roadside unit, data scheduling becomes an important issue. In this paper, we identify some challenges in vehicle-roadside data access. As vehicles move pretty fast, the requests should be served quickly. Also, vehicles may upload data to the roadside unit, and hence the download and upload requests compete for the same bandwidth. To address these challenges, we propose several scheduling schemes. We first propose a basic scheduling scheme called D*S to consider both service deadline and data size. We then enhance it by using a single broadcast to serve multiple requests. Finally, we identify the effects of upload requests on data quality, and propose a Two-Step scheduling scheme to provide a balance between serving download and update requests. Simulation results show that the Two-Step scheduling scheme outperforms other scheduling schemes.

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      cover image ACM Conferences
      VANET '07: Proceedings of the fourth ACM international workshop on Vehicular ad hoc networks
      September 2007
      90 pages
      ISBN:9781595937391
      DOI:10.1145/1287748
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 10 September 2007

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      Author Tags

      1. data quality
      2. roadSide unit(RSU)
      3. scheduling
      4. upload/download

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      Overall Acceptance Rate 26 of 64 submissions, 41%

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      • (2023)Computationally Efficient Blockchain-based Privacy Preservation Approach for Internet of Vehicle Things2023 Global Conference on Information Technologies and Communications (GCITC)10.1109/GCITC60406.2023.10426072(1-7)Online publication date: 1-Dec-2023
      • (2022)QoS Aware and Fault Tolerance Based Software-Defined Vehicular Networks Using Cloud-Fog ComputingSensors10.3390/s2201040122:1(401)Online publication date: 5-Jan-2022
      • (2022)A Novel Blockchain Based Secured and QoS Aware IoT Vehicular Network in Edge Cloud ComputingIEEE Access10.1109/ACCESS.2022.319211110(77707-77722)Online publication date: 2022
      • (2021)On the Design of Efficient Hierarchic Architecture for Software Defined Vehicular NetworksSensors10.3390/s2104140021:4(1400)Online publication date: 17-Feb-2021
      • (2020)Coalition Game Based Full-Duplex Popular Content Distribution in mmWave Vehicular NetworksIEEE Transactions on Vehicular Technology10.1109/TVT.2020.302838969:11(13836-13848)Online publication date: Nov-2020
      • (2020)A Distributed Channel Access Scheme for Vehicles in Multi-Agent V2I SystemsIEEE Transactions on Cognitive Communications and Networking10.1109/TCCN.2020.29666046:4(1297-1307)Online publication date: Dec-2020
      • (2020)Online Energy-efficient Scheduling Algorithm for Renewable Energy-powered Roadside units in VANETs2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)10.1109/MASS50613.2020.00068(506-514)Online publication date: Dec-2020
      • (2020)EdgeVCD: Intelligent Algorithm-Inspired Content Distribution in Vehicular Edge Computing NetworkIEEE Internet of Things Journal10.1109/JIOT.2020.29809817:6(5562-5579)Online publication date: Jun-2020
      • (2020)An Efficient Bidirectional broadcasting using Signal Initiation and Data Aggregation for WSN2020 3rd International Conference on Intelligent Sustainable Systems (ICISS)10.1109/ICISS49785.2020.9315941(1367-1371)Online publication date: 3-Dec-2020
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