ExTraCT: Expediting Offloading Transfers Through Intervehicle Communication Transmissions

Vehicular connectivity is considered as one of the most highly anticipated emerging technologies since it promises to transform the automotive sector and have a significant impact on all related markets. Data gathered (and information generated) within and around vehicles will be used to improve road safety, travelling efficiency, and passenger comfort and convenience. However, delivering such data to the infrastructure (to process information and generate intelligence) is a challenging task, mainly due to the very large volume of data traffic produced. A promising approach to support these communication needs is to deliver data traffic opportunistically through the available WiFi APs. Evidently, the intermittent connectivity of these hotspots and the inherent mobility of the vehicles severely limit the volume of traffic sent at any one instance in time. The latter limitation is studied in this paper, where decision policies are derived for vehicle-to-vehicle-assisted offloading to maximize the transmission opportunities and thus expedite data traffic delivery. As illustrated in this paper, these policies are easy to implement in practice and offer significant improvement in vehicular data traffic offloading as compared with opportunistic offloading and basic relaying practices.

[1]  Arun Venkataramani,et al.  Augmenting mobile 3G using WiFi , 2010, MobiSys '10.

[2]  Bhaskar Krishnamachari,et al.  Exploiting the wisdom of the crowd: localized, distributed information-centric VANETs [Topics in Automotive Networking] , 2010, IEEE Communications Magazine.

[3]  Robin Kravets,et al.  LoadingZones: leveraging street parking to enable vehicular internet access , 2012, Mobicom '12.

[4]  Jong-Moon Chung,et al.  Stochastic Vector Mobility Model for Mobile and Vehicular Ad Hoc Network Simulation , 2012, IEEE Transactions on Mobile Computing.

[5]  Ozan K. Tonguz,et al.  Modeling urban traffic: A cellular automata approach , 2009, IEEE Communications Magazine.

[6]  Bhaskar Krishnamachari,et al.  Optimizing Content Dissemination in Vehicular Networks with Radio Heterogeneity , 2014, IEEE Transactions on Mobile Computing.

[7]  A. Dix Driving innovation. , 2009, Nursing times.

[8]  Xuemin Shen,et al.  VIP-WAVE: On the Feasibility of IP Communications in 802.11p Vehicular Networks , 2013, IEEE Transactions on Intelligent Transportation Systems.

[9]  Aaron Striegel,et al.  Exploring the potential in practice for opportunistic networks amongst smart mobile devices , 2013, MobiCom.

[10]  Sheng Chen,et al.  Multiple Mobile Data Offloading Through Disruption Tolerant Networks , 2014, IEEE Transactions on Mobile Computing.

[11]  Monika Sester,et al.  Rainfall estimation using moving cars as rain gauges – laboratory experiments , 2013 .

[12]  Xuemin Shen,et al.  Vehicles Meet Infrastructure: Toward Capacity–Cost Tradeoffs for Vehicular Access Networks , 2013, IEEE Transactions on Intelligent Transportation Systems.

[13]  Guohong Cao,et al.  An Incentive Framework for Cellular Traffic Offloading , 2014, IEEE Transactions on Mobile Computing.

[14]  Christoph Grote Keynote: IoT on the move: The ultimate driving machine as the ultimate mobile thing , 2014, 2014 IEEE International Conference on Pervasive Computing and Communications (PerCom).

[15]  Hari Balakrishnan,et al.  Cabernet: vehicular content delivery using WiFi , 2008, MobiCom '08.

[16]  Sheng Chen,et al.  Collaborative Vehicular Content Dissemination with Directional Antennas , 2012, IEEE Transactions on Wireless Communications.

[17]  Kyunghan Lee,et al.  Mobile Data Offloading: How Much Can WiFi Deliver? , 2013, IEEE/ACM Transactions on Networking.

[18]  Hamid Aghvami,et al.  A survey on mobile data offloading: technical and business perspectives , 2013, IEEE Wireless Communications.

[19]  Antonella Molinaro,et al.  Multichannel communications in vehicular Ad Hoc networks: a survey , 2013, IEEE Communications Magazine.

[20]  Ravindra K. Ahuja,et al.  Network Flows: Theory, Algorithms, and Applications , 1993 .

[21]  Antonio Iera,et al.  LTE for vehicular networking: a survey , 2013, IEEE Communications Magazine.

[22]  Adel Javanmard,et al.  Mobility Modeling, Spatial Traffic Distribution, and Probability of Connectivity for Sparse and Dense Vehicular Ad Hoc Networks , 2009, IEEE Transactions on Vehicular Technology.

[23]  Javier Gozálvez,et al.  IEEE 802.11p vehicle to infrastructure communications in urban environments , 2012, IEEE Communications Magazine.

[24]  Reinhard German,et al.  Bidirectionally Coupled Network and Road Traffic Simulation for Improved IVC Analysis , 2011, IEEE Transactions on Mobile Computing.

[25]  Christian Bonnet,et al.  Mobility models for vehicular ad hoc networks: a survey and taxonomy , 2009, IEEE Communications Surveys & Tutorials.