Wireless traffic service platform for combined vehicle-to-vehicle and vehicle-to-infrastructure communications

Sukuvaara, Timo; Nurmi, Pertti

doi:10.1109/mwc.2009.5361179

Cited by 58 publications

(29 citation statements)

References 6 publications

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“…It uses vehicular mobility profiles not only to provide quality yet affordable services but also to predict the vehicle's possible route, velocity, and the required time to get to some specific place in the future. WTSP [6] considers two types of communications, including vehicle-to-vehicle and vehicle-to-infrastructure, to construct a wireless service platform based on the traffic service central unit, the base station network with traffic service base stations, and mobile end users with ad-hoc connectivity and backbone network connectivity. It provides the real-time service to the mobile user of less bandwidth requirement.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Besides, vehicle-to-vehicle (V2V) transmission is not considered in this approach. Sukuvaara [6] considered both V2V and V2I (vehicle-to-infrastructure) communications to build a wireless traffic service platform (WTSP), which consists of a central traffic service server, BSs, and moving vehicles. However, this platform provides information that requires less bandwidth, such as accident warning and local weather report, so some streaming service was not used smoothly, and even was not available.…”

Section: Introductionmentioning

confidence: 99%

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A SVR-Based Multimedia Streaming Dissemination System for Vehicular Networks

Huang¹,

Hu²,

Chen³

et al. 2015

IJCCE

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Abstract-An adaptive seamless streaming dissemination system for vehicular networks is presented in this work. An adaptive streaming system is established at each local server to prefetch and buffer stream data. The adaptive streaming system computes the parts of prefetched stream data for each user and stores them temporarily at the local server, based on current situation of the users and the environments that they are located at. Thus, users can download the prefetched stream data from the local servers instead of from Internet directly, such that the video playing problem caused by network congestion can be avoided. Several techniques such as stream data prefetching, stream data forwarding, and adaptive dynamic decoding, were utilized for enhancing the adaptability of different users and environments and achieving the best transmission efficiency. Support vector regression (SVR) is utilized to determine if a roadside base station (BS) or a vehicle can be chosen to transfer stream data for users. Considering the uneven deployment of BSs and vehicles, the bandwidth reservation mechanism for premium user was proposed to ensure the QoS of stream data premium user received. A series of simulations were conducted, the experimental results verify the effectiveness and feasibility of the proposed work.Index Terms-Adaptable dynamic decoding, adaptable streaming service dissemination, bandwidth reservation, stream data prefetch, support vector regression, vehicular networks.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A SVR-Based Multimedia Streaming Dissemination System for Vehicular Networks

Huang¹,

Hu²,

Chen³

et al. 2015

IJCCE

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“…Given such a successful development of open WiFi community, it is possible for a moving vehicle to have shared Internet connection via roadside WiFi networks with the assistance of on-board mobile systems, such as recently launched GM OnStar [9] services in commercial vehicles. In comparison with dedicated shortrange communication (DSRC) as defined in IEEE 1609 for safety-related messaging between infrastructure and vehicles in a secure manner [10], roadside WiFi presents a ubiquitous infrastructure for vehicles to achieve high-quality data transmission in vehicular networks.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Lookup of Open WiFi Using Crowdsensing

Liu

et al. 2016

IEEE/ACM Trans. Networking

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Abstract-Open WiFi access points (APs) are demonstrating that they can provide opportunistic data services to moving vehicles. We present CrowdWiFi, a novel system to look up roadside WiFi APs located outdoors or inside buildings. CrowdWiFi consists of two components: online compressive sensing and offline crowdsourcing. Online compressive sensing (CS) presents an efficient framework for the coarse-grained estimation of nearby APs along the driving route, where received signal strength (RSS) values are recorded at runtime, and the number and location of APs are recovered immediately based on limited RSS readings and adaptive CS operations. Offline crowdsourcing assigns the online CS tasks to crowd-vehicles and aggregates answers on a bipartite graphical model. Crowd-server also iteratively infers the reliability of each crowd-vehicle from the aggregated sensing results, and then refines the estimation of APs using weighted centroid processing. Extensive simulation results and real testbed experiments confirm that CrowdWiFi can successfully reduce computation cost and energy consumption of roadside WiFi lookup, while maintaining satisfactory localization accuracy.

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“…The vehicular-networking-related research work in Sodankylä started within the EUREKA Celtic CARLINK (Wireless Traffic Service Platform for Linking Cars) project (Sukuvaara and Nurmi, 2009), established in 2006. The architecture development basis combined both vehicular ad hoc network (VANET) and infrastructure-based networking with roadside fixed network stations.…”

Section: Introductionmentioning

confidence: 99%

Vehicular-networking- and road-weather-related research in Sodankylä

Sukuvaara

Mäenpää

Ylitalo

2016

Geosci. Instrum. Method. Data Syst.

Self Cite

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Abstract. Vehicular-networking-and especially safetyrelated wireless vehicular services have been under intensive research for almost a decade now. Only in recent years has road weather information also been acknowledged to play an important role when aiming to reduce traffic accidents and fatalities via intelligent transport systems (ITSs). Part of the progress can be seen as a result of the Finnish Meteorological Institute's (FMI) long-term research work in Sodankylä within the topic, originally started in 2006.Within multiple research projects, the FMI Arctic Research Centre has been developing wireless vehicular networking and road weather services, in co-operation with the FMI meteorological services team in Helsinki. At the beginning the wireless communication was conducted with traditional Wi-Fi type local area networking, but during the development the system has evolved into a hybrid communication system of a combined vehicular ad hoc networking (VANET) system with special IEEE 802.11p protocol and supporting cellular networking based on a commercial 3G network, not forgetting support for Wi-Fi-based devices also. For piloting purposes and further research, we have established a special combined road weather station (RWS) and roadside unit (RSU), to interact with vehicles as a service hotspot. In the RWS-RSU we have chosen to build support to all major approaches, IEEE 802.11, traditional Wi-Fi and cellular 3G. We employ road weather systems of FMI, along with RWS and vehicle data gathered from vehicles, in the up-to-date localized weather data delivered in real time. IEEE 802.11p vehicular networking is supported with This paper briefly introduces the research work related to vehicular networking and road weather services conducted in Sodankylä, as well as the research project involved in this work. The current status of instrumentation, available services and capabilities are presented in order to formulate a clear general view of the research field.

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Wireless traffic service platform for combined vehicle-to-vehicle and vehicle-to-infrastructure communications

Cited by 58 publications

References 6 publications

A SVR-Based Multimedia Streaming Dissemination System for Vehicular Networks

A SVR-Based Multimedia Streaming Dissemination System for Vehicular Networks

Adaptive Lookup of Open WiFi Using Crowdsensing

Vehicular-networking- and road-weather-related research in Sodankylä

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