A Cooperative and Reliable RSU-Assisted IEEE 802.11P-Based Multi-Channel MAC Protocol for VANETs

Nguyen, VanDung; Khanh, Tran Trong; Oo, Thant Zin; Tran, Nguyen H.; Huh, Eui‐Nam; Hong, Choong Seon

doi:10.1109/access.2019.2933241

Cited by 27 publications

(13 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Centralized TDMA-based algorithms can reduce packet collision probability significantly [8]. Besides, studies based on the channel interval decision have been conducted in [27] and [28]. An optimization algorithm for multi-channel intervals of the DSRC standard is presented to enhance the stability of the broadcast [27].…”

Section: Related Workmentioning

confidence: 99%

“…Besides, studies based on the channel interval decision have been conducted in [27] and [28]. An optimization algorithm for multi-channel intervals of the DSRC standard is presented to enhance the stability of the broadcast [27]. The minimization of idle service interval increases the performance of the broadcast using the reservation time mechanism [28].…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

A Robust Channel Access Using Cooperative Reinforcement Learning for Congested Vehicular Networks

et al. 2020

View full text Add to dashboard Cite

Vehicular Ad-hoc Network (VANET) is an emerging technique dedicated to wireless vehicular communication to improve transportation safety by exchanging driving information between vehicles. For safety purposes, vehicles periodically broadcast a safety packet via Vehicle-to-Vehicle (V2V) communication. Accordingly, VANET safety applications demand a reliable exchange of the safety packet with high Packet Delivery Ratio (PDR), acceptable latency, and communication fairness. However, the communication performance significantly degrades due to numerous packet collisions when a large number of vehicles simultaneously access limited channel resources for the safety broadcast. In particular, the problem grows more severe in congested VANETs absent infrastructures since vehicles must control channel access using a self-adaptive scheme without external assistance. Thus, a robust and decentralized channel access protocol for VANETs is required to achieve road safety. In this paper, we propose an intelligent channel access algorithm empowered by cooperative Reinforcement Learning (RL), in which vehicles coordinate the channel access in a fully-decentralized manner. We also consider a proper interaction scheme between vehicles for enhancing the V2V safety broadcast in infrastructure-less congested VANETs. We provide evaluation results with extensive simulations according to various levels of traffic congestion. Simulations confirm the superior performance of the algorithm: the algorithm has a 20% increase in PDR compared to the latest RL-based channel access scheme. Furthermore, the algorithm satisfies the low latency requirement of VANET safety applications as well as both short-term and long-term communication fairness. INDEX TERMS Vehicular ad-hoc network, congestion control, decentralized channel access, reinforcement learning, cooperative multi-agent systems.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A Robust Channel Access Using Cooperative Reinforcement Learning for Congested Vehicular Networks

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Jonsson et al [6] Matthiesen et al [7] Kumar et al [8] Bohm et al [9] Cambruzzi et al [10] Eze et al [11] Savic et al [12] Abrougui et al [13] Ali et al [14] Sawade et al [15] Chang et al [16] Nguyen et al [17] Lann et al [18] Sanderson et al [19] Aljeri et al [20] Casimiro et al [21] Worral et al [22] Ploeg et al [23] Table 1. Cont.…”

Section: Temporal Spatial Informationmentioning

confidence: 99%

“…Nguyen et al [17] also propose a protocol that encompasses the retransmission of safety messages that failed to broadcast. The protocol takes into account the presence of hidden nodes and their effect on communications faults.…”

Section: Temporal Redundancymentioning

confidence: 99%

A Survey on Fault Tolerance Techniques for Wireless Vehicular Networks

et al. 2019

View full text Add to dashboard Cite

Future intelligent transportation systems (ITS) hold the promise of supporting the operation of safety-critical applications, such as cooperative self-driving cars. For that purpose, the communications among vehicles and with the road-side infrastructure will need to fulfil the strict real-time guarantees and challenging dependability requirements. These safety requisites are particularly important in wireless vehicular networks, where road traffic presents several threats to human life. This paper presents a systematic survey on fault tolerance techniques in the area of vehicular communications. The work provides a literature review of publications in journals and conferences proceedings, available through a set of different search databases (IEEE Xplore, Web of Science, Scopus and ScienceDirect). A systematic method, based on the preferred reporting items for systematic reviews and meta-analyses (PRISMA) Statement was conducted in order to identify the relevant papers for this survey. After that, the selected articles were analysed and categorised according to the type of redundancy, corresponding to three main groups (temporal, spatial and information redundancy). Finally, a comparison of the core features among the different solutions is presented, together with a brief discussion regarding the main drawbacks of the existing solutions, as well as the necessary steps to provide an integrated fault-tolerant approach to the future vehicular communications systems.

show abstract

“…These safety-related messages need to be transmitted to nearby vehicles in a short period of time, which means that these messages have strict requirements on low latency and high packet delivery ratio [20][21][22]. Since all vehicles in the surrounding area should react in real time when an emergency occurs, broadcast is more practical than unicast [23].…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of IEEE 802.11p for Continuous Backoff Freezing in IoV

Xia

Fan

et al. 2019

Electronics

View full text Add to dashboard Cite

With the rapid development of cloud computing and big data, traditional Vehicular Ad hoc Networks (VANETs) are evolving into the Internet of Vehicles (IoV). As an important communication technology in IoV, IEEE 802.11p protocols have been studied by many experts and scholars. In IEEE 802.11p, a node’s backoff counter will be frozen when the channel is detected as busy. However, most studies did not consider the possibility of continuous backoff freezing when calculating delay. Thus, in this paper, we focus on the performance analysis of IEEE 802.11p for continuous backoff freezing. Specifically, we establish an analytical model to analyze the broadcast performance in the highway scene where vehicles can obtain traffic density from roadside units through Vehicle to Infrastructure (V2I) communications. We first calculate the relationship between vehicle density and the number of vehicles. Then, we derive the relationship between the number of vehicles and packet delay according to Markov chains. Next, we utilize the probability generating function (PGF) to transform traditional Markov chains into z domain under the situation of non-saturation. Finally, we employ the Mason formula to derive packet delay. As compared with the performance without considering the continuous backoff freezing, the simulation results have demonstrated that our analytical model is more reasonable.

show abstract

A Cooperative and Reliable RSU-Assisted IEEE 802.11P-Based Multi-Channel MAC Protocol for VANETs

Cited by 27 publications

References 34 publications

A Robust Channel Access Using Cooperative Reinforcement Learning for Congested Vehicular Networks

A Robust Channel Access Using Cooperative Reinforcement Learning for Congested Vehicular Networks

A Survey on Fault Tolerance Techniques for Wireless Vehicular Networks

Performance Analysis of IEEE 802.11p for Continuous Backoff Freezing in IoV

Contact Info

Product

Resources

About