MOP: A Novel Mobility-Aware Opportunistic Routing Protocol for Connected Vehicles

In this paper, we address a fundamental problem in vehicular networks, which consists of sending messages from a source vehicle to a destination vehicle. This problem becomes even more complex in the absence of fixed infrastructure or any other controlling entity. Although there are some solutions in the literature to work around this problem, they can cause significant network overhead and generate an amount of redundant data. In this regard, we develop a routing protocol that considers individual vehicular mobility as a determining factor for routing decisions. Through simulations using realistic vehicular mobility trace, we have observed that our strategy considerably decreases network overhead and the number of hops between source and destination while maintaining similar values for delivery ratio and latency.

[1]  Anders Lindgren,et al.  Probabilistic routing in intermittently connected networks , 2003, MOCO.

[2]  Antonella Molinaro,et al.  Enhancing IEEE 802.11p/WAVE to provide infotainment applications in VANETs , 2012, Ad Hoc Networks.

[3]  Antonio Alfredo Ferreira Loureiro,et al.  Combining Spatial and Social Awareness in D2D Opportunistic Routing , 2018, IEEE Communications Magazine.

[4]  Albert-László Barabási,et al.  Understanding individual human mobility patterns , 2008, Nature.

[5]  Jianping Pan,et al.  GeoMobCon: A Mobility-Contact-Aware Geocast Scheme for Urban VANETs , 2016, IEEE Transactions on Vehicular Technology.

[6]  Cauligi S. Raghavendra,et al.  Spray and wait: an efficient routing scheme for intermittently connected mobile networks , 2005, WDTN '05.

[7]  Antonio Alfredo Ferreira Loureiro,et al.  Understanding the role of mobility in real mobile ad-hoc networks connectivity , 2017, 2017 IEEE Symposium on Computers and Communications (ISCC).

[8]  Azzedine Boukerche,et al.  Mobility Data Assessment for Vehicular Networks , 2019, ICC 2019 - 2019 IEEE International Conference on Communications (ICC).

[9]  Amin Vahdat,et al.  Epidemic Routing for Partially-Connected Ad Hoc Networks , 2009 .

[10]  Antonio Alfredo Ferreira Loureiro,et al.  Protocols, mobility models and tools in opportunistic networks: A survey , 2014, Comput. Commun..

[11]  Jean-Marie Bonnin,et al.  Routing protocols in Vehicular Delay Tolerant Networks: A comprehensive survey , 2014, Comput. Commun..

[12]  Jörg Ott,et al.  The ONE simulator for DTN protocol evaluation , 2009, SimuTools.

[13]  Kang Chen,et al.  GreedyFlow: Distributed Greedy Packet Routing between Landmarks in DTNs , 2015, 2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems.

[14]  Nesrine Chakchouk,et al.  A Survey on Opportunistic Routing in Wireless Communication Networks , 2015, IEEE Communications Surveys & Tutorials.

[15]  Geoffrey Ye Li,et al.  Vehicular Communications: A Network Layer Perspective , 2017, IEEE Transactions on Vehicular Technology.

[16]  Antonio Alfredo Ferreira Loureiro,et al.  Leveraging D2D multihop communication through social group meeting awareness , 2016, IEEE Wireless Communications.

[17]  Azzedine Boukerche,et al.  Improving VANET Simulation with Calibrated Vehicular Mobility Traces , 2017, IEEE Transactions on Mobile Computing.

[18]  Azzedine Boukerche,et al.  Data communication in VANETs: Protocols, applications and challenges , 2016, Ad Hoc Networks.

[19]  Abdulmotaleb El-Saddik,et al.  How Close are We to Realizing a Pragmatic VANET Solution? A Meta-Survey , 2015, ACM Comput. Surv..

[20]  Cecilia Mascolo,et al.  GeOpps: Geographical Opportunistic Routing for Vehicular Networks , 2007, 2007 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks.

[21]  Lars C. Wolf,et al.  A new mobility trace for realistic large-scale simulation of bus-based DTNs , 2010, CHANTS '10.

[22]  Joel J. P. C. Rodrigues,et al.  GeoSpray: A geographic routing protocol for vehicular delay-tolerant networks , 2014, Inf. Fusion.