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

Meier, René; Hughes, Barbara; Cunningham, Robert E.; Cahill, Vinny

doi:10.1007/11498094_1

Cited by 17 publications

(6 citation statements)

References 13 publications

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“…The RT-STEAM middleware proposed by Meier et al includes the concept of event channels to which a spatial description is associated [14]. The RT-STEAM approach is perhaps the most similar to ours.…”

Section: B Adaptive Applicationsmentioning

confidence: 70%

A spatial QoS requirements specification for V2V applications

Lidström

Larsson

2010

2010 IEEE Intelligent Vehicles Symposium

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Abstract-Vehicle-to-vehicle wireless communication is a key component of tomorrow's cooperative safety applications. However, the wireless link is susceptible to effects such as shadowing which can cause communication failures. Such failures may in turn lead to hazardous traffic situations when safety applications cease to function. By monitoring communication QoS and adapting to changes, effects of link failure may be mitigated, however this requires a specification of the application QoS requirements. In this paper we combine the T-Window reliability QoS metric with a spatial component, allowing us to capture the dependencies between VANET QoS requirements and road geometry. The proposed representation can be used both at design-time, to characterize applications, and at run-time for QoS monitoring and adaptation purposes.

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Section: B Adaptive Applicationsmentioning

confidence: 70%

A spatial QoS requirements specification for V2V applications

Lidström

Larsson

2010

2010 IEEE Intelligent Vehicles Symposium

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“…Considerable R&D efforts have been put forward on developing real-time middleware in the past by RT-STEAM [ 114 ] is a middleware supporting real time applications in vehicular Ad Hoc Networks. RAP [ 115 ] provides base for a real-time architecture for large-scale sensor networks.…”

Section: Abstracted Services and Middleware Of Wsn Virtualizationmentioning

confidence: 99%

A Survey of Middleware for Sensor and Network Virtualization

Khalid

Fisal

Rozaini

2014

Sensors

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Wireless Sensor Network (WSN) is leading to a new paradigm of Internet of Everything (IoE). WSNs have a wide range of applications but are usually deployed in a particular application. However, the future of WSNs lies in the aggregation and allocation of resources, serving diverse applications. WSN virtualization by the middleware is an emerging concept that enables aggregation of multiple independent heterogeneous devices, networks, radios and software platforms; and enhancing application development. WSN virtualization, middleware can further be categorized into sensor virtualization and network virtualization. Middleware for WSN virtualization poses several challenges like efficient decoupling of networks, devices and software. In this paper efforts have been put forward to bring an overview of the previous and current middleware designs for WSN virtualization, the design goals, software architectures, abstracted services, testbeds and programming techniques. Furthermore, the paper also presents the proposed model, challenges and future opportunities for further research in the middleware designs for WSN virtualization.

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“…distance from the receiver and and the vehicle's speed. Vehicles that are part of a vehicular network typically run either a safety application [17], [9] or a VANET middleware [18], [19]. These applications/middleware obtain the position and speed of the vehicle from a GPS device and use the wireless device to periodically broadcast their location and receive location information from neighboring vehicles.…”

Section: A Overviewmentioning

confidence: 99%

CARS: Context-Aware Rate Selection for vehicular networks

Shankar

Nadeem

Rosca

et al. 2008

2008 IEEE International Conference on Network Protocols

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Abstract-Traffic querying, road sensing and mobile content delivery are emerging application domains for vehicular networks whose performance depends on the throughput these networks can sustain. Rate adaptation is one of the key mechanisms at the link layer that determine this performance. Rate adaptation in vehicular networks faces the following key challenges: (1) due to the rapid variations of the link quality caused by fading and mobility at vehicular speeds, the transmission rate must adapt fast in order to be effective, (2) during infrequent and bursty transmission, the rate adaptation scheme must be able to estimate the link quality with few or no packets transmitted in the estimation window, (3) the rate adaptation scheme must distinguish losses due to environment from those due to hiddenstation induced collision. Our extensive outdoor experiments show that the existing rate adaptation schemes for 802.11 wireless networks underutilize the link capacity in vehicular environments. In this paper, we design, implement and evaluate CARS, a novel Context-Aware Rate Selection algorithm that makes use of context information (e.g. vehicle speed and distance from neighbor) to systematically address the above challenges, while maximizing the link throughput. Our experimental evaluation in real outdoor vehicular environments with different mobility scenarios shows that CARS adapts to changing link conditions at high vehicular speeds faster than existing rate-adaptation algorithms. Our scheme achieves significantly higher throughput, up to 79%, in all the tested scenarios, and is robust to packet loss due to collisions, improving the throughput by up to 256% in the presence of hidden stations.

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

Cited by 17 publications

References 13 publications

A spatial QoS requirements specification for V2V applications

A spatial QoS requirements specification for V2V applications

A Survey of Middleware for Sensor and Network Virtualization

CARS: Context-Aware Rate Selection for vehicular networks

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