Data gathering for sensing applications in vehicular networks (poster)

• Type: Article in International Conference Proceedings Book
• Date: 2011

Authors

Zarmehri, MN (Author) Other; Ana Aguiar (Author) FEUP

Conference proceedings International

Title: 2011 IEEE Vehicular Networking Conference, IEEE VNC 2011, Amsterdam, The Netherlands, November 14-16, 2011

Pages: 222-229

2011 IEEE Vehicular Networking Conference, VNC 2011

Amsterdam, 14 November 2011 through 16 November 2011

Indexing

Scopus - 10 Citations

Other information

Authenticus ID: P-008-2SP

DOI: 10.1109/vnc.2011.6117104

Abstract (EN): We propose to use Vehicular ad hoc networks (VANET) as the infrastructure for an urban cyber-physical system for gathering up-to-date data about a city, like traffic conditions or environmental parameters. In this context, it is critical to design a data collection protocol that enables retrieving the data from the vehicles in almost real-time in an efficient way for urban scenarios. We propose Back off-based Per-hop Forwarding (BPF), a broadcast-based receiver-oriented protocol that uses the destination location information to select the forwarding order among the nodes receiving the packet. BFP does not require nodes to exchange periodic messages with their neighbors communicating their locations to keep a low management message overhead. It uses geographic information about the final destination node in the header of each data packet to route it in a hop-by-hop basis. It takes advantage of redundant forwarding to increase packet delivery to a destination, what is more critical in an urban scenario than in a highway, where the road topology does not represent a challenge for forwarding. We evaluate the performance of the BPF protocol using ns-3 and a Manhattan grid topology and compare it with well-known broadcast suppression techniques. Our results show that BPF achieves significantly higher packet delivery rates at a reduced redundancy cost. © 2011 IEEE.

Language: English

Type (Professor's evaluation): Scientific