DocumentCode :
265515
Title :
Red or green: Analyzing the data delivery with traffic lights in vehicular ad hoc networks
Author :
Chao Song ; Wei-Shih Yang ; Jie Wu ; Ming Liu
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2014
fDate :
8-12 Dec. 2014
Firstpage :
64
Lastpage :
69
Abstract :
The data delivery in Vehicular Ad Hoc Networks (VANETs) depends on the mobility of the vehicles (e.g. with carry-and-forward). However, the mobility of the vehicles is not only affected by the nodes themselves, but also by some external means such as the traffic lights. The red light stops the vehicles at the intersection, which will increase the delivery delay of the messages carried by the vehicle with waiting time. On the contrary, this may also increase the opportunities of vehicles moving behind to catch up in forwarding messages. In this paper, we investigate the negative and positive influences of the traffic lights on data delivery in VANETs. We develop an analysis model for evaluating the data delivery among the vehicles that move along a path with multiple traffic lights. Based on the model, vehicles can estimate the reachability of destinations and the data delivery delay. Thus, we propose a transmission control scheme by the given deadline of reachable destinations, in order to improve the data delivery. Our intensive simulations verify the proposed model, and evaluate the influence of the traffic lights on data delivery.
Keywords :
delay tolerant networks; mobility management (mobile radio); telecommunication traffic; vehicular ad hoc networks; VANET; data delivery analysis; data delivery delay; destination reachability; traffic lights; transmission control scheme; vehicles mobility; vehicular ad hoc networks; Ad hoc networks; Analytical models; Data models; Delays; Roads; Vehicles; Wireless communication; VANET; traffic hole; traffic light;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location :
Austin, TX
Type :
conf
DOI :
10.1109/GLOCOM.2014.7036785
Filename :
7036785
Link To Document :
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