MPBRP- Mobility Prediction Based Routing Protocol in VANETs.pdf (840.57 kB)
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MPBRP- mobility prediction based routing protocol in VANETs

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conference contribution
posted on 21.01.2021, 09:08 by Mao Ye, Lin GuanLin Guan, Mohammed Quddus
Vehicular Ad-hoc Networks (VANETs) technology has been emerged as an important research topic in recent years. This is because the vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications are becoming more popular in the field of Intelligent Transportation System (ITS) so as to further enhance traffic efficiency, safety, emissions reduction and infotainment applications. Over the last few years, a number of routing protocols in VANETs have been developed. In particular, position-based routing protocols have attracted the most interest in VANETs as they are suitable for a frequently changeable network topology and highly dynamic nature of vehicular nodes. This paper develops a new Mobility Prediction Based Routing Protocol (MPBRP) for neighborhood detection, packet transmission and path recovery in VANETs by using driver's intention collected from the positioning systems. Several major contributions are made in the paper: (1) Combining both predictive forwarding strategy and recovery strategy to detect neighbors and transfer packets. (2) Utilizing the predicted position and angles in a pre-defined time with considering driver's intention to select the neighboring nodes and discover the transmission path. (3) Validating the effectiveness and feasibility of the proposed protocol by creating a unified simulation platform (Veins) and implementing it in real world scenarios. (4) Enhancing the overall performance as the proposed routing protocol achieved competitive improvement over existing protocols in terms of packet delivery ratio, end-to-end delay and average hops about 26.22%, 21.89% and 20.79% by average in grid-based scenario, and about 26.04%,23.14% and 18.51% by average in urban scenario respectively.

History

School

  • Architecture, Building and Civil Engineering
  • Science

Department

  • Computer Science

Published in

2019 International Conference on Advanced Communication Technologies and Networking (CommNet)

Pages

226 - 232

Source

2019 International Conference on Advanced Communication Technologies and Networking (CommNet)

Publisher

IEEE

Version

AM (Accepted Manuscript)

Rights holder

© Crown

Publisher statement

Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Publication date

2019-06-20

Copyright date

2019

ISBN

9781538683170

Language

en

Location

Rabat, Morocco

Event dates

12th April 2019 - 14th April 2019

Depositor

Mr Mao Ye. Deposit date: 20 January 2021