4 research outputs found

    Link quality based EDCA MAC protocol for WAVE vehicular networks

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    The WAVE vehicular networks adopt the Enhanced Distributed Channel Access (EDCA) as the MAC layer protocol. In EDCA, different values of arbitrary inter-frame space (AIFS) can be used for different classes of traffic. The smaller the AIFS value is, the higher the priority a device has in accessing the shared channel. In this paper, we exploit the possibility of assigning the AIFS values according to channel/link quality. Notably a device with better link quality can transmit at a higher data rate. Therefore, our key objective is to maximize the system throughput between a roadside unit (RSU) and the onboard units (OBUs) passed by. Since IEEE 802.11p supports eight transmission rates, two schemes for mapping AIFS values to transmission rates are studied. The first one (8-level-AIFS) uses eight distinct AIFS values, one for each transmission rate. And the second one (4-level-AIFS) uses four distinct AIFS values, one for every two adjacent transmission rates. Their throughput performances are studied by simulations. It is interesting to note that OBUs tend to experience the same pattern of channel quality fluctuation, due to the similar vehicle moving pattern. To this end, assigning AIFS values according to link quality is fair. © 2013 IEEE.published_or_final_versio

    Towards reliable geographic broadcasting in vehicular networks

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    In Vehicular ad hoc Networks (VANETs), safety-related messages are broadcasted amongst cars, helping to improve drivers' awareness of the road situation. VANETs’ reliability are highly affected by channel contention. This thesis first addresses the issue of channel use efficiency in geographical broadcasts (geocasts). Constant connectivity changes inside a VANET make the existing routing algorithms unsuitable. This thesis presents a geocast algorithm that uses a metric to estimate the ratio of useful to useless packet received. Simulations showed that this algorithm is more channel-efficient than the farthest-first strategy. It also exposes a parameter, allowing it to adapt to channel load. Second, this thesis presents a method of estimating channel load for providing feedback to moderate the offered load. A theoretical model showing the relationship between channel load and the idle time between transmissions is presented and used to estimate channel contention. Unsaturated stations on the network were shown to have small but observable effects on this relationship. In simulations, channel estimators based on this model show higher accuracy and faster convergence time than by observing packet collisions. These estimators are also less affected by unsaturated stations than by observing packet collisions. Third, this thesis couples the channel estimator to the geocast algorithm, producing a closed-loop load-reactive system that allows geocasts to adapt to instantaneous channel conditions. Simulations showed that this system is not only shown to be more efficient in channel use and be able to adapt to channel contention, but is also able to self-correct suboptimal retransmission decisions. Finally, this thesis demonstrates that all tested network simulators exhibit unexpected behaviours when simulating broadcasts. This thesis describes in depth the error in ns-3, leading to a set of workarounds that allows results from most versions of ns-3 to be interpreted correctly
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