Efficient Emergency Forwarding to Prevent Message Broadcasting Storm in Mobile Society via Vehicle-to-X Communications for 5G LTE-V

The self-driving car become a completely novel application to fulfill highly safe driving era, in which the Vehicle-to-X (V2X) communications and cloud computing act as the key technologies. In such new-trend applications, for shortening the emergency messages transmitting or sharing among the self-driving cars and human-driving cars, the message broadcasting is adopted, but suffers from the broadcasting storm and message flooding. Clearly, for the mobile society via V2X, the message broadcasting protocol leads to an unpredictable long forwarding delay and degrades the QoS of real-time transmission and the synchronization interval of the adaptive cruise control (ACC). This paper thus proposes an efficient emergency message forwarding approach to guarantee the broadcasting delay and to prevent the broadcasting storm for V2X communications in 5G mobile society. Numerical results demonstrate that the proposed approach outperforms the compared approaches in transmission range, connectivity probability, total number of forwarding messages, number of hop-counts, and end-to-end delay.

[1]  Peng Cheng,et al.  Cooperative data dissemination in cellular-VANET heterogeneous wireless networks , 2012, 2012 4th International High Speed Intelligent Communication Forum.

[2]  Hongseok Yoo,et al.  Repetition-based cooperative broadcasting for vehicular ad-hoc networks , 2011, Comput. Commun..

[3]  Shou-Chih Lo,et al.  A Water-Wave Broadcast Scheme for Emergency Messages in VANET , 2013, Wirel. Pers. Commun..

[4]  Dirk Helbing,et al.  Connectivity Statistics of Store-and-Forward Intervehicle Communication , 2010, IEEE Transactions on Intelligent Transportation Systems.

[5]  Charles Desjardins,et al.  Cooperative Adaptive Cruise Control: A Reinforcement Learning Approach , 2011, IEEE Transactions on Intelligent Transportation Systems.

[6]  Weihua Zhuang,et al.  Mobility impact in IEEE 802.11p infrastructureless vehicular networks , 2012, Ad Hoc Networks.

[7]  Flavien Somda,et al.  Auto-adaptive and string stable strategy for intelligent cruise control , 2011 .

[8]  Hariharan Krishnan,et al.  Analysis of Information Dissemination in Vehicular Ad-Hoc Networks With Application to Cooperative Vehicle Safety Systems , 2011, IEEE Transactions on Vehicular Technology.

[9]  Weihua Zhuang,et al.  Probabilistic Delay Control and Road Side Unit Placement for Vehicular Ad Hoc Networks with Disrupted Connectivity , 2011, IEEE Journal on Selected Areas in Communications.

[10]  Jun Zheng,et al.  Modeling and Performance Analysis of Periodic Broadcast in Vehicular Ad Hoc Networks , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

[11]  Jyoti Divecha,et al.  Modified exponentially weighted moving average (EWMA) control chart for an analytical process data , 2011 .

[12]  Kin K. Leung,et al.  Stochastic Model and Connectivity Dynamics for VANETs in Signalized Road Systems , 2011, IEEE/ACM Transactions on Networking.

[13]  Yu Zhang,et al.  Multi-Hop Connectivity Probability in Infrastructure-Based Vehicular Networks , 2012, IEEE Journal on Selected Areas in Communications.

[14]  Zhili Sun,et al.  Trinary Partitioned Black-Burst-Based Broadcast Protocol for Time-Critical Emergency Message Dissemination in VANETs , 2014, IEEE Transactions on Vehicular Technology.

[15]  Jaehoon Jeong,et al.  Trajectory-Based Data Forwarding for Light-Traffic Vehicular Ad Hoc Networks , 2011, IEEE Transactions on Parallel and Distributed Systems.

[16]  Alvin S. Lim,et al.  ACAR: Adaptive Connectivity Aware Routing for Vehicular Ad Hoc Networks in City Scenarios , 2010, Mob. Networks Appl..

[17]  Meng Chang Chen,et al.  DEEP: Density-Aware Emergency Message Extension Protocol for VANETs , 2013, IEEE Transactions on Wireless Communications.

[18]  Markus Rupp,et al.  Society in motion: challenges for LTE and beyond mobile communications , 2016, IEEE Communications Magazine.

[19]  Will Recker,et al.  An analytical model of multihop connectivity of inter-vehicle communication systems , 2010, IEEE Transactions on Wireless Communications.

[20]  Ben-Jye Chang,et al.  Analytical Model of QoS-Based Fast Seamless Handoff in IEEE 802.16j WiMAX Networks , 2010, IEEE Transactions on Vehicular Technology.

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

[22]  Jianping Pan,et al.  Time and Location-Critical Emergency Message Dissemination for Vehicular Ad-Hoc Networks , 2011, IEEE Journal on Selected Areas in Communications.

[23]  Yu Zhang,et al.  Analysis of Access and Connectivity Probabilities in Vehicular Relay Networks , 2011, IEEE Journal on Selected Areas in Communications.

[24]  Brian D. O. Anderson,et al.  On the Information Propagation Process in Mobile Vehicular Ad Hoc Networks , 2011, IEEE Transactions on Vehicular Technology.

[25]  Peng-Jun Wan,et al.  Asymptotic Critical Transmission Radius for $k$-Connectivity in Wireless Ad Hoc Networks , 2010, IEEE Transactions on Information Theory.

[26]  Moumena Chaqfeh,et al.  A survey on data dissemination in vehicular ad hoc networks , 2014, Veh. Commun..