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Location-Based Deferred Broadcast for Ad-Hoc Named Data Networking

by Meng Kuai *,† and Xiaoyan Hong *
Department of Computer Science, The University of Alabama, Tuscaloosa, AL 35487, USA
*
Authors to whom correspondence should be addressed.
Current address: GetHired, Inc. 540 University Ave, Palo Alto, CA 94301, USA.
Future Internet 2019, 11(6), 139; https://doi.org/10.3390/fi11060139
Received: 1 May 2019 / Revised: 14 June 2019 / Accepted: 19 June 2019 / Published: 24 June 2019
(This article belongs to the Special Issue Content Centric Future Internet Architectures)
The emerging connected and autonomous vehicles (CAVs) challenge ad hoc wireless multi-hop communications by mobility, large-scale, new data acquisition and computing patterns. The Named Data Networking (NDN) is suitable for such vehicle ad hoc networks due to its information centric networking approach. However, flooding interest packets in ad-hoc NDN can lead to broadcast storm issue. Existing solutions will either increase the number of redundant interest packets or need a global knowledge about data producers. In this paper, a Location-Based Deferred Broadcast (LBDB) scheme is introduced to improve the efficiency and performance of interest broadcast in ad-hoc NDN. The scheme takes advantage of location information to set up timers when rebroadcasting an interest. The LBDB is implemented in V-NDN network architecture using ndnSIM simulator. Comparisons with several existing protocols are conducted in simulation. The results show that LBDB improves the overhead, the average number of hops and delay while maintaining an average satisfaction ratio when compared with several other broadcast schemes. The improvement can help offer timely data acquisition for quick responses in emergent CAV application situations. View Full-Text
Keywords: Named Data Networking; Ad-Hoc Networking; Broadcast Storm Problem Named Data Networking; Ad-Hoc Networking; Broadcast Storm Problem
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Kuai, M.; Hong, X. Location-Based Deferred Broadcast for Ad-Hoc Named Data Networking. Future Internet 2019, 11, 139.

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