Varied priority-based data forwarding via NDN in VANET

S Wang, W Wu, Z Zhi - … & Communications, Cloud & Big Data …, 2019 - ieeexplore.ieee.org
S Wang, W Wu, Z Zhi
2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing …, 2019ieeexplore.ieee.org
Recently, Named Data Networking (NDN) has been used for vehicular networks to improve
the efficiency of data forwarding. However, existing solutions for vehicular NDN (V-NDN)
rarely consider the priority of data packets. In this paper, we propose a priority-based data
packet forwarding algorithm. We observed that different data types may have different
priorities and the importance of a data packet decreases as the distance between data
packet location and data source location increases. Our algorithm handles data packets …
Recently, Named Data Networking (NDN) has been used for vehicular networks to improve the efficiency of data forwarding. However, existing solutions for vehicular NDN (V-NDN) rarely consider the priority of data packets. In this paper, we propose a priority-based data packet forwarding algorithm. We observed that different data types may have different priorities and the importance of a data packet decreases as the distance between data packet location and data source location increases. Our algorithm handles data packets differently according to their priorities. It first assigns data packets into three priority levels: high, medium and low. Then, when transmitting a data packet, the node uses either push or pull-based methods depending on the data packet's priority. For high-priority data packets, the push-based forwarding algorithm is adopted; for medium-and low-priority data packets, the pull-based forwarding algorithm is employed. With our design, the push-based forwarding algorithm is used in the local area to improve the hit ratio of high priority data; the pull-based forwarding algorithm is used to disseminate data packets to interested nodes and to reduce network overhead. Our algorithm satisfies the vehicle's need for different priority. Compared with existing works, our algorithm has a higher hit ratio than pure pull-based NDN and costs less overhead than traditional IP architectures. Simulations via SUMO, OpenStreetMap and ndnSIM verify the advantages of our work.
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