CODIE: Controlled Data and Interest Evaluation in Vehicular Named Data Networks

Recently, named data networking (NDN) has been proposed as a promising architecture for future Internet technologies. NDN is an extension to the content-centric network (CCN) and is expected to support various applications in vehicular communications [vehicular NDN (VNDN)]. VNDN basically relies on naming the content rather than using end-to-end device names. In VNDN, a vehicle broadcasts an “Interest” packet for the required “content,” regardless of end-to-end connectivity with servers or other vehicles and known as a “consumer.” In response, a vehicle with the content replies to the Interest packet with a “Data” packet and named as a “provider.” However, the simple VNDN architecture faces several challenges such as consumer/provider mobility and Interest/Data packet(s) forwarding. In VNDN, for the most part, the Data packet is sent along the reverse path of the related Interest packet. However, there is no extensive simulated reference available in the literature to support this argument. In this paper, therefore, the authors first analyze the propagation behavior of Interest and Data packets in the vehicular ad hoc network (VANET) environment through extensive simulations. Second, the authors propose the “CODIE” scheme to control the Data flooding/broadcast storm in the naïve VNDN. The main idea is to allow the consumer vehicle to start hop counter in Interest packet. Upon receiving this Interest by any potential provider, a data dissemination limit (DDL) value stores the number of hops and a data packet needs to travel back. Simulation results show that CODIE forwards fewer copies of data packets processed (CDPP) while achieving similar interest satisfaction rate (ISR), as compared with the naïve VNDN. In addition, the authors also found that CODIE also minimizes the overall interest satisfaction delay- (ISD), respectively.

Language

  • English

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Filing Info

  • Accession Number: 01602780
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jun 21 2016 4:21PM