Position-aware ad hoc wireless networks for inter-vehicle communications

Hartenstein, Hannes; Bochow, Bernd; Ebner, André; Lott, M.; Radimirsch, M.; Vollmer, Dieter

doi:10.1145/501416.501454

Cited by 140 publications

(83 citation statements)

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“…The information can be utilized to help drivers judge whether the road they are approaching is congested. Wischhof et al propose SOTIS [13] within the FleetNet [14] project. In SOTIS, vehicles monitor and analyze data individually using the periodically exchanged traffic data by themselves.…”

Section: Related Workmentioning

confidence: 99%

Directed information dissemination in vehicular ad-hoc networks

2013

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In this article, we utilize the idea of multipoint relays (MPRs) found in literature [2] to propagate accident information in a restricted way (e.g., only backwards). We devise an algorithm to identify MPRs that are geographically situated behind a particular node using only its neighbor table, and speed information of the neighboring vehicles. With the identification of the backward MPRs, it is possible to restrict the information dissemination to vehicles behind a particular Vehicular Ad-hoc Network (VANET) node only.This might benefit the approaching vehicles so that the driver could take preventive measures in real-time since he/she will have an indication of the severity of road conditions ahead. We assume that there exists an inter vehicular network using Optimized Link State Routing (OLSR) where accident information can be propagated to all nodes using on-going OLSR control packets. We envision our application will run on top of existing routing protocols (e.g., OLSR), thereby resulting in very little integration effort, and retaining OLSR's reduced network traffic advantage through the use of MPRs. We analyze our back MPR identification algorithm in a detailed manner. We also show that by using our approach the location of the accident alert instigator node could be pinpointed if a subset of the nodes in the same VANET know their geographical positions. We use VANET mobility models generated by SUMO into NS-3 for our simulations, and also perform preliminary experiments to verify the algorithm's effectiveness. Our analysis and experiments show favorable results.

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Section: Related Workmentioning

confidence: 99%

Directed information dissemination in vehicular ad-hoc networks

2013

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“…Fleetnet Project (for example, Ref. [12]) aims at realizing the Internet in cars, and several protocols have been presented. The experimental results in Ref.…”

Section: Related Work and Contributionmentioning

confidence: 99%

GVGrid: A QoS Routing Protocol for Vehicular Ad Hoc Networks

Sun

Yamaguchi

Yukimasa

et al. 2006

200614th IEEE International Workshop on Quality of Service

125

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Abstract-In this paper, we present a QoS routing protocol called GVGrid for multi-hop mobile ad hoc networks constructed by vehicles, i.e., vehicular ad hoc networks (VANETs). GVGrid constructs a route on demand from a source (a fixed node or a base station) to vehicles that reside in or drive through a specified geographic region. The goal of GVGrid is to maintain a high quality route, i.e. a robust route for the vehicles' movement. Such a route can be used for high quality communication and data transmission between roadsides and vehicles, or between vehicles. The experimental results have shown that GVGrid could provide routes with longer lifetime, compared with an existing routing protocol for VANETs.

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“…It is shown that in the case of oncoming traffic, and a high average velocity of 130km/h the probability of maintaining connectivity for a communication duration of less than 30s is less than 0.1. Furthermore, as investigated in [3], the transmission range of the radio system significantly influences these duration figures, and that for radio systems supporting a distance less than 500m, the communication duration must be reduced to below 10s. The highly dynamic communication duration expected in a high velocity VANET, directly impacts, and must be reflected, in the design of medium-access and routing protocols.…”

Section: Challenges To Real-time Communicationmentioning

confidence: 99%

“…Both the vehicle platooning and UTC scenarios may require multi-hop connectivity to coordinate driver assistance. As shown in [3], traffic dynamics, in terms of the velocity of vehicles and the density of traffic, impacts the maximum number of hops available for information exchange. For example, 5 hop communication is available with a probability of more than 90% only if the radio system supports at least a range of 1km, and the traffic volume is high.…”

Section: Challenges To Real-time Communicationmentioning

confidence: 99%

“…In the Space-Elastic model, we look at the space, or proximity, within which realtime properties are required, which is related to the observation in [3], that one of the key features in an inter-vehicle network is the relevance of data to a particular geographical area. For example, in emergency braking notification, the critical proximity where real-time guarantees are required, is within a bound geographical area of the braking vehicle.…”

Section: Challenges To Real-time Communicationmentioning

confidence: 99%

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Towards Real-Time Middleware for Applications of Vehicular Ad Hoc Networks

Meier

Hughes

Cunningham

et al. 2005

Distributed Applications and Interoperable Systems

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Abstract. Applications of inter-vehicle and vehicle-to-roadside communication that make use of vehicular ad hoc networks (VANETs) will often require reliable communication that provides guaranteed real-time message propagation. This paper describes an event-based middleware, called RT-STEAM, designed to meet these requirements. Unlike other event systems, RT-STEAM does not rely on a centralized event broker or look-up service while still supporting event channels providing hard real-time event delivery. RT-STEAM event filtering can be based on subject, content and/or proximity. Proximity filters define geographical areas within which events are delivered. To guarantee real-time communication, we exploit proximity-based event propagation to guarantee real-time constraints within the defined proximities only. The proximity within which real-time guarantees are available is adapted to maintain time bounds while allowing changes to membership and topology as is typical of VANETs. This Space-Elastic Model of real-time communication is the first to directly address adaptation in the space domain to guarantee realtime constraints.

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Position-aware ad hoc wireless networks for inter-vehicle communications

Cited by 140 publications

References 0 publications

Directed information dissemination in vehicular ad-hoc networks

Directed information dissemination in vehicular ad-hoc networks

GVGrid: A QoS Routing Protocol for Vehicular Ad Hoc Networks

Towards Real-Time Middleware for Applications of Vehicular Ad Hoc Networks

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