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Overlap-minimization scheduling strategy for data transmission in VANET

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conference contribution
posted on 2021-12-02, 12:20 authored by Yong Zhang, Mao Ye, Lin GuanLin Guan
The vehicular ad-hoc network (VANET) based on dedicated short-range communication (DSRC) is a distributed communication system, in which all the nodes share the wireless channel with carrier sense multiple access/collision avoid (CSMA/CA) protocol. However, the competition and backoff mechanisms of CSMA/CA often bring additional delays and data packet collisions, which may hardly meet the QoS requirements in terms of delay and packets delivery ratio (PDR). Moreover, because of the distribution nature of security information in broadcast mode, the sender cannot know whether the receivers have received the information successfully. Similarly, this problem also exists in no-acknowledge (non-ACK) transmissions of VANET. Therefore, the probability of packet collisions should be considered in broadcast or non-ACK working modes. This paper presents a connection-level scheduling algorithm overlaid on CSMA/CA to schedule the start sending time of each transmission. By converting the object of reducing collision probability to minimizing the overlap of transmission durations of connections, the probability of backoff-activation can be greatly decreased. Then the delay and the probability of packet collisions can also be decreased. Numerical simulations have been conducted in our unified platform containing SUMO, Veins and Omnet++. The result shows that the proposed algorithm can effectively improve the PDR and reduce the packets collision in VANET.

Funding

Science and Technology Program of Sichuan Province (2018JY0507)& (2020YFH0071)

Natural Science Foundation of China Project (61871422)

History

School

  • Science

Department

  • Computer Science

Published in

2021 International Symposium on Networks, Computers and Communications (ISNCC)

Source

2021 International Symposium on Networks, Computers and Communications (ISNCC)

Publisher

IEEE

Version

  • AM (Accepted Manuscript)

Rights holder

© IEEE

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.

Acceptance date

2021-03-28

Publication date

2021-11-25

Copyright date

2021

ISBN

9781665403047

Language

  • en

Location

Dubai, UAE

Event dates

31st October 2021 - 2nd Nov 2021

Depositor

Mr Mao Ye. Deposit date: 1 May 2021

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