DocumentCode :
1977107
Title :
A traffic flow theory based density adopted emergency message dissemination scheme for vehicular ad hoc networks
Author :
Dongxu Jin ; Fei Shi ; JooSeok Song
Author_Institution :
Dept. of Comput. Sci., Yonsei Univ., Seoul, South Korea
fYear :
2015
fDate :
12-14 Jan. 2015
Firstpage :
57
Lastpage :
62
Abstract :
In traffic safety applications for vehicular ad hoc networks (VANETs), emergency messages have to be disseminated quickly and extensively in order to inform as many vehicles as possible in a short period of time. Hence, the broadcast storm problem is prone to occur. In the past, several approaches have been proposed to solve the problem. Among them, we find counter-, distance-, location-, cluster-, and probabilistic-based schemes. In this paper, we analyze existing protocols and present a novel scheme that is designed to mitigate the broadcast storm problem, reduce the end-to-end latency in real urban scenarios, and deal with the faults that occur during transmission. The proposed routing protocol assigns a density adopted dynamic back-off time based on traffic flow theory to vehicle. It ensures the dissemination of the emergency message onto every part of the road, and when there is no relay vehicle, the emergency message will be retransmitted. We use the GrooveNet simulator to demonstrate that the proposed scheme has a low collision probability, low overhead and a short end-to-end latency.
Keywords :
road safety; road traffic; routing protocols; vehicular ad hoc networks; GrooveNet simulator; VANET; broadcast storm problem mitigation; collision probability; density adopted dynamic back-off time; density adopted emergency message dissemination scheme; end-to-end latency; relay vehicle; routing protocol; traffic flow theory; traffic safety application; vehicular ad hoc network; Accidents; Buildings; Roads; Storms; Urban areas; Vehicles; Emergency message dissemination; VANETs; density adopted; rebroadcast suppression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Networking (ICOIN), 2015 International Conference on
Conference_Location :
Cambodia
Type :
conf
DOI :
10.1109/ICOIN.2015.7057857
Filename :
7057857
Link To Document :
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