Intelligent Resource Allocation Scheme Using Reinforcement Learning for Efficient Data Transmission in VANET

Author:

Kim Jin-Woo1,Kim Jae-Wan2,Lee Jaeho3ORCID

Affiliation:

1. Department of Statistics, Duksung Women’s University, Seoul 01369, Republic of Korea

2. School of Semiconductor & Electronic Engineering, Yeungjin University, Daegu 41527, Republic of Korea

3. Department of Software, Duksung Women’s University, Seoul 01369, Republic of Korea

Abstract

Vehicular ad hoc networks (VANETs) use multiple channels to communicate using wireless access in vehicular environment (WAVE) standards to provide a variety of vehicle-related applications. The current IEEE 802.11p WAVE communication channel structure is composed of one control channel (CCH) and several service channels (SCHs). SCHs are used for non-safety data transmission, while the CCH is used for broadcasting beacons, control, and safety. WAVE devices transmit data that alternate between CCHs and SCHs, and each channel is active for a duration called the CCH interval (CCHI) and SCH interval (SCHI), respectively. Currently, both intervals are fixed at 50 ms. However, fixed-length intervals cannot effectively respond to dynamically changing traffic loads. Additionally, when many vehicles are simultaneously using the limited channel resources for data transmission, the network performance significantly degrades due to numerous packet collisions. Herein, we propose an adaptive resource allocation technique for efficient data transmission. The technique dynamically adjusts the SCHI and CCHI to improve network performance. Moreover, to reduce data collisions and optimize the network’s backoff distribution, the proposed scheme applies reinforcement learning (RL) to provide an intelligent channel access algorithm. The simulation results demonstrate that the proposed scheme can ensure high throughputs and low transmission delays.

Funder

National Research Foundation of Korea

Publisher

MDPI AG

Reference37 articles.

1. (2010). IEEE Standard for Information Technology-Telecommunications and Information Exchange Between Systems-Local and Metropolitan Area Networks-Specific Requirements—Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications Amendment 6: Wireless Access in Vehicular Environments (Standard No. IEEE Standard 802.11p). Available online: https://ieeexplore.ieee.org/document/5514475/.

2. (2002). Standard Specification for Telecommunications and Information Exchange Between Roadside and Vehicle Systems (Standard No. ASTM E2213-02). Available online: https://www.astm.org/e2213-02.html.

3. Liu, L., Xia, W., and Shen, L. (2009, January 26–28). An adaptive multi-channel MAC protocol with dynamic interval division in vehicular environment. Proceedings of the 1st International Conference on Information Science and Engineering (ICISE ’09), Nanjing, China.

4. An IEEE 802. 11p-based multichannel MAC scheme with channel coordination for vehicular Ad Hoc networks;Wang;IEEE Trans. Intell. Transp. Syst.,2012

5. Wang, Q., Leng, S., Fu, H., Zhang, Y., and Weerasinghe, H. (2010, January 14–19). An enhanced multi-channel MAC for the IEEE 1609.4 based vehicular Ad Hoc networks. Proceedings of the IEEE International Conference on Computer Communications (INFOCOM ’10), San Diego, CA, USA.

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