TY - JOUR
T1 - MGF
T2 - Mobile gateway based forwarding for infrastructure-to-vehicle data delivery in vehicular Ad Hoc Networks
AU - Chen, Li
AU - Li, Zhi Jun
AU - Jiang, Shou Xu
AU - Feng, Cheng
PY - 2012/3
Y1 - 2012/3
N2 - The highly dynamic topology and the rapid movement of destination node pose special challenges to Infrastructure-to-Vehicle (I2V) data delivery in Vehicular Ad Hoc Networks (VANET). Current data delivery methods are with the strong delay, the large jitter of delay and low delivery ratio for I2V data delivery. The paper investigates how to effectively utilize the prominent characteristic of buses, and proposes Mobile Gateway (MG) based Forwarding (MGF) that buses are installed as MG to forward data packet. To solve the problem that the paper models road network as a probabilistic state-space graph, in which applies the value iteration algorithm for the markov decision processing model to derive the optimal forwarding policy, that means the optimal forwarding sequence. In order to improve the performance of data delivery, the paper selects an optimal rendezvous point of the packet and the destination vehicle as the target point while satisfying the required packet delivery probability. Through theoretical analysis and extensive experiments, it is shown that our design provides an efficient I2V data forwarding under a variety of vehicular traffic conditions.
AB - The highly dynamic topology and the rapid movement of destination node pose special challenges to Infrastructure-to-Vehicle (I2V) data delivery in Vehicular Ad Hoc Networks (VANET). Current data delivery methods are with the strong delay, the large jitter of delay and low delivery ratio for I2V data delivery. The paper investigates how to effectively utilize the prominent characteristic of buses, and proposes Mobile Gateway (MG) based Forwarding (MGF) that buses are installed as MG to forward data packet. To solve the problem that the paper models road network as a probabilistic state-space graph, in which applies the value iteration algorithm for the markov decision processing model to derive the optimal forwarding policy, that means the optimal forwarding sequence. In order to improve the performance of data delivery, the paper selects an optimal rendezvous point of the packet and the destination vehicle as the target point while satisfying the required packet delivery probability. Through theoretical analysis and extensive experiments, it is shown that our design provides an efficient I2V data forwarding under a variety of vehicular traffic conditions.
KW - Infrastructure-to-Vehicle Data Delivery (I2V)
KW - Intelligent Transportation Systems (ITS)
KW - Internet of Things
KW - Markov Decision Process (MDP)
KW - Mobile Gateway (MG)
KW - Vehicular Ad hoc NETwork (VANET)
UR - http://www.scopus.com/inward/record.url?scp=84860293209&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84860293209&partnerID=8YFLogxK
U2 - 10.3724/SP.J.1016.2012.00454
DO - 10.3724/SP.J.1016.2012.00454
M3 - Article
AN - SCOPUS:84860293209
SN - 0254-4164
VL - 35
SP - 454
EP - 463
JO - Jisuanji Xuebao/Chinese Journal of Computers
JF - Jisuanji Xuebao/Chinese Journal of Computers
IS - 3
ER -