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Adaptive beaconing for collision avoidance and tracking accuracy in vehicular networks

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摘要 In vehicular networks,the exchange of beacons among neighboring vehicles is a promising solution to guarantee a vehicle's safety.However,frequent beaconing under high vehicle density conditions will cause beacon collisions,which are harmful to a vehicle's driving safety and the location tracking accuracy.We propose an ABIwRC(Adaptive Beaconing Interval with Resource Coordination)method for a highway scenario.Each vehicle broadcasts beacon interval requests,including the intervals needed for both the vehicle's driving safety and location tracking accuracy.The RSU(Road Side Unit)allocates resources for a vehicle's beaconing according to the requests from all vehicles and the interference relationship between the vehicles in adjacent RSUs.We formulate a resource allocation problem for maximizing the sum utility,which measures the satisfaction of vehicles'requests.We then transform the optimization problem into a maximum weighted independent set problem,and propose an algorithm to solve this effciently.Simulation results show that the proposed method outperforms the benchmark in terms of beacon reception ratio,vehicle driving safety,and location tracking accuracy.
出处 《Journal of Communications and Information Networks》 2017年第2期30-45,共16页 通信与信息网络学报(英文)
基金 This work is supported in part by the Zhejiang Provincial Public Technology Research of China(No.2016C31063 the Fun-damental Research Funds for the Central Universities(No.2015XZZX001-02) a research grant from the Natural Sciences and Engineering Research Council of Canada.
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