MGF: Mobile gateway based forwarding for infrastructure-to-vehicle data delivery in vehicular Ad Hoc Networks

Li Chen, Zhi Jun Li, Shou Xu Jiang, Cheng Feng

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)454-463
Number of pages10
JournalJisuanji Xuebao/Chinese Journal of Computers
Volume35
Issue number3
DOIs
StatePublished - Mar 1 2012

Keywords

  • Infrastructure-to-Vehicle Data Delivery (I2V)
  • Intelligent Transportation Systems (ITS)
  • Internet of Things
  • Markov Decision Process (MDP)
  • Mobile Gateway (MG)
  • Vehicular Ad hoc NETwork (VANET)

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