Dynamic Channel Selection for Real-Time Safety Message Communication in Vehicular Networks

Ensuring the real-time delivery of safety messages is an important research problem for Vehicle to Vehicle (V2V) communication. Unfortunately, existing work relies only on one or two pre-selected control channels for safety message communication, which can result in poor packet delivery and potential accident when the vehicle density is high. If all the available channels can be dynamically utilized when the control channel is having severe contention, safety messages can have a much better chance to meet their real-time deadlines. In this paper, we propose MC-Safe, a multi-channel V2V communication framework that monitors all the available channels and dynamically selects the best one for safety message transmission. MC-Safe features a novel channel negotiation scheme that allows all the vehicles involved in a potential accident to work collaboratively, in a distributed manner, for identifying a communication channel that meets the delay requirement. Our evaluation results both in simulation and on a hardware testbed with scaled cars show that MC-Safe outperforms existing single-channel solutions and other well-designed multi-channel baselines by having a 12.31% lower deadline miss ratio and an 8.21% higher packet delivery ratio on average.

[1]  Hyogon Kim,et al.  Application-Level Frequency Control of Periodic Safety Messages in the IEEE WAVE , 2012, IEEE Transactions on Vehicular Technology.

[2]  Fan Bai,et al.  Mobile Vehicle-to-Vehicle Narrow-Band Channel Measurement and Characterization of the 5.9 GHz Dedicated Short Range Communication (DSRC) Frequency Band , 2007, IEEE Journal on Selected Areas in Communications.

[3]  Huirong Fu,et al.  An IEEE 802.11p-Based Multichannel MAC Scheme With Channel Coordination for Vehicular Ad Hoc Networks , 2012, IEEE Transactions on Intelligent Transportation Systems.

[4]  Alan Burns,et al.  Guaranteeing message latencies on controller area network (can) , 1994 .

[5]  Sijing Zhang,et al.  Vehicular ad hoc networks (VANETs): Current state, challenges, potentials and way forward , 2014, 2014 20th International Conference on Automation and Computing.

[6]  Luca Delgrossi,et al.  IEEE 802.11p: Towards an International Standard for Wireless Access in Vehicular Environments , 2008, VTC Spring 2008 - IEEE Vehicular Technology Conference.

[7]  Yuguang Fang,et al.  Performance Analysis of IEEE 802.11 DCF in Imperfect Channels , 2006, IEEE Transactions on Vehicular Technology.

[8]  Xue Liu,et al.  Data preference matters: A new perspective of safety data dissemination in vehicular ad hoc networks , 2015, 2015 IEEE Conference on Computer Communications (INFOCOM).

[9]  Hai Liu,et al.  Ring-Walk Based Channel-Hopping Algorithms with Guaranteed Rendezvous for Cognitive Radio Networks , 2010, 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing.

[10]  Xue Liu,et al.  Performance and Reliability Analysis of IEEE 802.11p Safety Communication in a Highway Environment , 2013, IEEE Transactions on Vehicular Technology.

[11]  Junmin Wang,et al.  Lateral motion control for four-wheel-independent-drive electric vehicles using optimal torque allocation and dynamic message priority scheduling , 2014 .

[12]  Hai Liu,et al.  Jump-stay based channel-hopping algorithm with guaranteed rendezvous for cognitive radio networks , 2011, 2011 Proceedings IEEE INFOCOM.

[13]  Paolo Santi,et al.  A measurement-based study of beaconing performance in IEEE 802.11p vehicular networks , 2012, 2012 Proceedings IEEE INFOCOM.

[14]  Ge Guo,et al.  Control Over Medium-Constrained Vehicular Networks With Fading Channels and Random Access Protocol: A Networked Systems Approach , 2015, IEEE Transactions on Vehicular Technology.

[15]  Eylem Ekici,et al.  Vehicular Networking: A Survey and Tutorial on Requirements, Architectures, Challenges, Standards and Solutions , 2011, IEEE Communications Surveys & Tutorials.

[16]  Mike Lukuc,et al.  Vehicle-to-Vehicle Communications: Readiness of V2V Technology for Application , 2014 .

[17]  Luciano Bononi,et al.  Improving vehicular safety message delivery through the implementation of a cognitive vehicular network , 2013, Ad Hoc Networks.

[18]  Xingshe Zhou,et al.  A Flexible Multi-Channel Coordination MAC Protocol for Vehicular Ad Hoc Networks , 2017, IEEE Communications Letters.

[19]  Nathan van de Wouw,et al.  Cooperative Adaptive Cruise Control: Network-Aware Analysis of String Stability , 2014, IEEE Transactions on Intelligent Transportation Systems.

[20]  A. Girotra,et al.  Performance Analysis of the IEEE 802 . 11 Distributed Coordination Function , 2005 .

[21]  Bo Li,et al.  CCR: Capacity-constrained replication for data delivery in vehicular networks , 2013, 2013 Proceedings IEEE INFOCOM.

[22]  Xue Liu,et al.  How cars talk louder, clearer and fairer: Optimizing the communication performance of connected vehicles via online synchronous control , 2016, IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications.

[23]  Sinem Coleri Ergen,et al.  Minimum Energy Data Transmission for Wireless Networked Control Systems , 2014, IEEE Transactions on Wireless Communications.

[24]  Luciano Bononi,et al.  Dissemination of safety messages in IEEE 802.11p/WAVE vehicular network: Analytical study and protocol enhancements , 2014, Pervasive Mob. Comput..

[25]  Luiz A. DaSilva,et al.  Rendezvous for Cognitive Radios , 2011, IEEE Transactions on Mobile Computing.

[26]  Xue Liu,et al.  LORA: Loss Differentiation Rate Adaptation Scheme for Vehicle-to-Vehicle Safety Communications , 2017, IEEE Transactions on Vehicular Technology.

[27]  Karl Hedrick.  Brake System Modeling, Control and Integrated Brake/Throttle Switching: Phase I , 1997 .

[28]  Hongqiang Zhai,et al.  Performance analysis of IEEE 802.11 MAC protocols in wireless LANs , 2004, Wirel. Commun. Mob. Comput..

[29]  Shahrokh Valaee,et al.  Congestion Control for Vehicular Networks With Safety-Awareness , 2016, IEEE/ACM Transactions on Networking.

[30]  Wenhui Zhang,et al.  Vehicular wireless short-range communication for improving intersection safety , 2009, IEEE Communications Magazine.

[31]  Bhaskar Krishnamachari,et al.  Spatio-temporal variations of vehicle traffic in VANETs: facts and implications , 2009, VANET '09.

[32]  Gerd Wanielik,et al.  Comparison and evaluation of advanced motion models for vehicle tracking , 2008, 2008 11th International Conference on Information Fusion.

[33]  Paolo Santi,et al.  Vehicle-to-Vehicle Communication: Fair Transmit Power Control for Safety-Critical Information , 2009, IEEE Transactions on Vehicular Technology.

[34]  Dot Hs,et al.  Sampling Design Used in the National Motor Vehicle Crash Causation Survey , 2008 .