An information centric networking approach for sensor to vehicular network communication in disasters

In this paper, we present an NDN-based architecture for the dissemination of roadside information to cars. Our focus is on flooding events which are often caused by severe weather which also impacts the communication infrastructure. We compare the performance of different message forwarding strategies in VANETs (Vehicular Adhoc Networks) through simulation. In addition, we analyze how our approach compares to an infrastructure-based approach that is less resilient in the case of natural disaster. Our simulations show that the strategy that considers geographical location and velocity of the vehicle performs better compared to others, which in turn outperforms the infrastructure-based approach.

[1]  Rahim Tafazolli,et al.  CLWPR — A novel cross-layer optimized position based routing protocol for VANETs , 2011, 2011 IEEE Vehicular Networking Conference (VNC).

[2]  Madoka Yuriyama,et al.  Sensor-Cloud Infrastructure - Physical Sensor Management with Virtualized Sensors on Cloud Computing , 2010, 2010 13th International Conference on Network-Based Information Systems.

[3]  Alexander Afanasyev,et al.  Rapid traffic information dissemination using named data , 2012, NoM '12.

[4]  Assen Golaup,et al.  Femtocell access control strategy in UMTS and LTE , 2009, IEEE Communications Magazine.

[5]  Aaron Schulman,et al.  Pingin' in the rain , 2011, IMC '11.

[6]  Patrick Crowley,et al.  Named data networking , 2014, CCRV.

[7]  Giuseppe Piro,et al.  An LTE module for the ns-3 network simulator , 2011, SimuTools.

[8]  Antonella Molinaro,et al.  A novel hybrid forwarding strategy for content delivery in wireless information-centric networks , 2017, Comput. Commun..

[9]  Giovanni Pau,et al.  A naming scheme to represent geographic areas in NDN , 2013, 2013 IFIP Wireless Days (WD).

[10]  Bernhard Walke,et al.  IEEE 802.11 Wireless Local Area Networks , 2006 .

[11]  Marcos Rodrigo Momo,et al.  Tool-Based Mobile Application Applied to the Monitoring System and Flood Alert , 2015, 2015 Ninth International Conference on Complex, Intelligent, and Software Intensive Systems.