TMA: Trajectory-based Multi-Anycast forwarding for efficient multicast data delivery in vehicular networks

Jaehoon Jeong, Tian He, David H.C. Du

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

This paper describes Trajectory-based Multi-Anycast forwarding (TMA), tailored and optimized for the efficient multicast data delivery in vehicular networks in terms of transmission cost. To our knowledge, this is the first attempt to investigate the efficient multicast data delivery in vehicle networks, based on the trajectories of vehicles in the multicast group. Due to the privacy concern, we assume only a central server knows the trajectory of each vehicle and the estimated current location of the vehicle. Therefore, after receiving a request of multicast data delivery from a source vehicle, the central server has to figure out how the data has to be delivered to the moving vehicles in the multicast group. For each target vehicle in the multicast group, multiple packet-and-vehicle rendezvous points are computed as a set of relay nodes to temporarily hold the data, considering the vehicle's trajectory. This set of rendezvous points can be considered an Anycast set for the target vehicle. We have formulated the multicast data delivery as the data delivery to the anycast sets of the multicast group vehicles. Through theoretical analysis and extensive simulation, it is shown that our design provides an efficient multicast for moving vehicles under a variety of vehicular traffic conditions.

Original languageEnglish (US)
Pages (from-to)2549-2563
Number of pages15
JournalComputer Networks
Volume57
Issue number13
DOIs
StatePublished - Sep 9 2013

Bibliographical note

Funding Information:
This research was supported in part by Next-Generation Information Computing Development Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (No. 2012033347). This work was also partly supported by the IT R&D program of MKE/KEIT [10041244, SmartTV 2.0 Software Platform] and by DGIST CPS Global Center. In addition, this research was supported in part by MSI and DTC at the University of Minnesota.

Keywords

  • Anycast
  • Data forwarding
  • I2V
  • Multicast
  • Road network
  • Vehicular network

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