Cluster-Based Beaconing Process for VANET

https://doi.org/10.1016/j.vehcom.2015.03.001Get rights and content

Abstract

In this paper we introduce the Cluster-Based Beacon Dissemination Process (CB-BDP) that aims to provide vehicles with a local vehicle proximity map of their vicinity. Based on this map, safety applications can be used for accident prevention by informing drivers about evolving hazardous situations. The CB-BDP is designed under the two following objectives. First, since it is used for safety applications, we want the map to be detailed and accurate as much as possible. Second, we want the map to be coordinated with nearby vehicles, thereby allowing synchronized and coordinated reactions of nearby vehicles to evolving hazardous situations. We design a cluster based aggregation–dissemination beaconing process that uses an optimized topology to distribute the vehicle proximity map. The topology is adaptive and robust in order to meet the challenging VANET conditions. An accurate and detailed map results in a heavy load of beacon messages. Our proposed scheme deals with this problem by integrating a contention-free medium access control (MAC) strategy for reliable communication.

Introduction

Vehicular ad hoc network (VANET) is a promising branch of traditional MANET. VANET is designed to provide wireless communication between vehicles and between vehicles and nearby roadside equipment. This communication intends to improve both safety and comfort on the road. The majority of VANET applications require the availability of real-time position information. Some of VANET applications, such as Adaptive Cruise Control and Cooperative Intersection Safety, require a certain degree of positioning accuracy in order to be able to function properly. For new research tendencies and state-of-the-art of VANETs see [36], [37], [38]. Critical safety applications though, such as the Vehicle Collision Warning and the Cooperative Awareness applications, which enhance the driver's perception and knowledge of the road and the environment, require very precise and reliable localization system. The acceptable localization error in these applications is with a meter in order to estimate accurately the distances between vehicles and between vehicles and objects.

The US FCC has allocated 75 MHz of the spectrum in the 5.9 GHz band for Direct Short Range Communication (DSRC). The DSRC spectrum is divided into seven 10 MHz channels. One of these seven channels is designated as a control channel, and is used primarily for safety related applications. There are two types of traffic safety-related communication that circulate on the control channel: the event-driven messages that are sent whenever a hazard situation has been detected and the periodic beacon messages by which vehicles announce their current status information – such as position, speed, steering – to nearby vehicles. Those beacon messages are a key component of safety applications by providing vehicles with a broad and accurate vehicle proximity map [1], [2] of their surroundings. Based on this map, safety applications – usually referred to as Cooperative Awareness applications – can be used for accident prevention by informing drivers about evolving hazardous situations.

The dissemination processes of event-driven messages and beacon messages have distinct objectives and characteristics. Event-driven messages on the one hand are triggered only at detection of an emergency situation, and therefore, are not expected to cause significant load on the channel. However, once a hazardous situation is detected, an emergency message must be distributed in the complete dissemination area with high reliability and short delay. Beacon messages on the other hand have a more relaxed deadline requirement, but are expected to cause the significant load on the channel.

In this paper we introduce the Cluster-Based Beacon Dissemination Process (CB-BDP). This process aims to provide vehicles with such vehicle proximity map of their vicinity. The CB-BDP is designed with two objectives in mind. First, since the vehicle proximity map is used for safety applications, we want the map to be broad and as accurate as possible. Second, we want the map to be coordinated with vehicles located nearby. This coordination is required for the synchronized and cooperative reaction of nearby vehicles to evolving hazardous situations. However, such an accurate estimation in a dynamic environment requires a high transmission frequency of beacon messages from numerous nearby vehicles, which in turn, results in a high data load on the channel. Moreover, coordinating a map in a lossy channel is challenging because proximity information may be received by some vehicles and not received by others.

To address these challenges, we suggest replacing the traditional multipoint-to-multipoint transmissions of beacon messages with a cluster-based aggregation–dissemination process. In this way, nearby vehicles share a coordinated map of their vicinity. To deal with the high load of beacon messages, we introduce a contention-free Medium Access Control (MAC) scheme intended to grant the CB-BDP with efficient and reliable spatial bandwidth reuse.

The first step to achieve this goal is to integrate cluster-based MAC [3], [4] into our scheme. In cluster-based MAC, the channel access of cluster members is synchronized in order to provide contention-free channel access within the cluster. Furthermore, cluster-based MAC can provide bandwidth efficiency by bandwidth reuse among clusters. However, for reliable bandwidth reuse the resulting inter-cluster interference needs to be reduced.

In order to deal with this inter-cluster interference, we propose to combine cluster-based MAC with inter-cluster colouring scheme used to synchronize channel access between adjacent clusters. The cluster colouring is used by the CB-BDP to mitigate the inter-cluster interference by providing two levels of bandwidth reuse. The first level is a complete inter-cluster bandwidth reuse at which bandwidth is reallocated among all clusters. The inter-cluster colouring is used to reduce the inter-cluster interference by synchronizing concurrent transmissions taking place in adjacent clusters according to a fair Signal-to-Interference plus Noise Ratio (SINR) optimization criterion. The second level is less efficient but more reliable bandwidth reuse. In this case, the cluster colouring enables highly reliable transmission by silencing not only transmitter cluster members but also members of the two adjacent clusters.

This paper is organized as follows. In Section 2 we present related work. The system model is described in Section 3. In Section 4 we present the Cluster-Based Beacon Dissemination Process. Section 5 illustrates simulation results of CB-BDP. Discussion (incorporating RSUs) and conclusions are provided in Sections 6 and 7.

Section snippets

Related work

The IEEE 802.11p standard, designed for wireless access in the vehicular environment (WAVE) uses the CSMA/CA as its MAC method, despite the fact that it is suffering from the following well-known problems. First, when considering broadcast transmission, RTS (Request-To-Send)/CTS (Clear-To-Send) mechanism is infeasible. In such case, the CSMA provides no means to solve the hidden station problem, which in a heavy traffic load can lead to a high rate of packet collisions. Second, the CSMA can

System model

In this work we consider a distributed beacon dissemination process based on Vehicle-to-Vehicle (V2V) communication in changing dynamic environments such as highway and suburban scenarios. Accordingly, we leave the discussion about beaconing process around intersection junction out of the scope of this paper. This is because beaconing process on intersection is distinctive in terms of both objectives and challenges. On intersection, RSUs will be deployed in order to enable safe traffic merging

The Cluster-Based Beacon Dissemination Process

The Cluster-Based Beacon Dissemination Process (CB-BDP) is designed to provide vehicles with a broad, accurate, and coordinated vehicle proximity map of their vicinity. To achieve this, the CB-BDP applies the following three-phase process. In the first phase, beacons in the same cluster are aggregated by clusterheads using the intra-cluster aggregation protocol. The key objective of this protocol is to provide each cluster member with access to a time bounded, contention-free channel on which

Simulation modelling and setup

The goal of this simulation study is to analyse the CB-BDP performance. We assume that all vehicles are equipped with a wireless communication device. The evaluation of the proposed CB-BDP scheme was done with a Matlab-based simulator that combines a microscopic road traffic simulation with a communication simulation.

The highway traffic model that is used in this simulation is based on the microscopic model developed by Krauss et al. [29] designed for multilane traffic flow dynamics. In this

Discussion

In this work we suggested a beaconing process designed to provide each vehicle in the network a detailed, accurate and coordinate vehicle proximity map of its surrounding area. The focus of this work is the scenario of dense network configuration expected in the late deployment phase of VANET technology. The main challenge in this scenario is addressing the high load of beacon messages required to create the desired map under the dynamic vehicular environment. In order to deal with the high

Conclusions and future work

In this paper we have introduced the Cluster-Based Beacon Dissemination Process designed to provide vehicles with a real-time and coordinated vehicle proximity map of their vicinity. Based on this map, safety applications can be used for accident prevention by informing drivers about evolving hazardous situations. The real-time and coordinated map enables synchronized and coordinated reactions of nearby vehicles to the evolving situations. In [20] we proposed a clustering scheme that produces

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