Emergency Message Dissemination Schemes Based on Congestion Avoidance in VANET and Vehicular FoG Computing

With the rapid growth in connected vehicles, FoG-assisted vehicular ad hoc network (VANET) is an emerging and novel field of research. For information sharing, a number of messages are exchanged in various applications, including traffic monitoring and area-specific live weather and social aspects monitoring. It is quite challenging where vehicles’ speed, direction, and density of neighbors on the move are not consistent. In this scenario, congestion avoidance is also quite challenging to avoid communication loss during busy hours or in emergency cases. This paper presents emergency message dissemination schemes that are based on congestion avoidance scenario in VANET and vehicular FoG computing. In the similar vein, FoG-assisted VANET architecture is explored that can efficiently manage the message congestion scenarios. We present a taxonomy of schemes that address message congestion avoidance. Next, we have included a discussion about comparison of congestion avoidance schemes to highlight the strengths and weaknesses. We have also identified that FoG servers help to reduce the accessibility delays and congestion as compared to directly approaching cloud for all requests in linkage with big data repositories. For the dependable applicability of FoG in VANET, we have identified a number of open research challenges.

[1]  Yuanguo Bi.  Neighboring vehicle-assisted fast handoff for vehicular fog communications , 2018, Peer Peer Netw. Appl..

[2]  Depeng Jin,et al.  Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures , 2016, IEEE Transactions on Vehicular Technology.

[3]  Mohsen Guizani,et al.  Battery Status-aware Authentication Scheme for V2G Networks in Smart Grid , 2013, IEEE Transactions on Smart Grid.

[4]  Kishor S. Trivedi,et al.  Application-level scheme to enhance VANET event-driven multi-hop safety-related services , 2017, 2017 International Conference on Computing, Networking and Communications (ICNC).

[5]  Naveen Chauhan,et al.  A Survey on Data Dissemination Techniques used in VANETs , 2010 .

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

[7]  Tie Qiu,et al.  Survey on fog computing: architecture, key technologies, applications and open issues , 2017, J. Netw. Comput. Appl..

[8]  Kenneth L. Clarkson,et al.  The tradeoff between coverage and capacity in dynamic optimization of 3G cellular networks , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

[9]  Oussama Tahan,et al.  GoSafe: A power-efficient android application for road events signaling and notification , 2016, 2016 18th Mediterranean Electrotechnical Conference (MELECON).

[10]  Juan-Carlos Cano,et al.  A Survey and Comparative Study of Broadcast Warning Message Dissemination Schemes for VANETs , 2016, Mob. Inf. Syst..

[11]  Nitin H. Vaidya,et al.  A vehicle-to-vehicle communication protocol for cooperative collision warning , 2004, The First Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, 2004. MOBIQUITOUS 2004..

[12]  Roma Bharatbhai Patni,et al.  Traffic Congestion Detection and Management Using VANET , 2016 .

[13]  Junggab Son,et al.  A Hybrid Trust Management Framework for Vehicular Social Networks , 2016, CSoNet.

[14]  Sherali Zeadally,et al.  5G for Vehicular Communications , 2018, IEEE Communications Magazine.

[15]  Seongjin Park,et al.  Network Intelligence based on Network State Information for Connected Vehicles Utilizing Fog Computing , 2016 .

[16]  Vladimir Stantchev,et al.  Smart Items, Fog and Cloud Computing as Enablers of Servitization in Healthcare , 2015 .

[17]  Zouhair Guennoun,et al.  Mobile Big Data in Vehicular Networks: The Road to Internet of Vehicles , 2018, Mobile Big Data.

[18]  Dongkyun Kim,et al.  CANCORE: Context-Aware Network COded REpetition for VANETs , 2017, IEEE Access.

[19]  Mehdi Khabazian,et al.  Performance modeling of message dissemination in vehicular ad hoc networks , 2010, ISWPC 2010.

[20]  Xinlei Zhang,et al.  Using trust model to ensure reliable data acquisition in VANETs , 2017, Ad Hoc Networks.

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

[22]  Ivan Stojmenovic,et al.  The Fog computing paradigm: Scenarios and security issues , 2014, 2014 Federated Conference on Computer Science and Information Systems.

[23]  Yacine Ghamri-Doudane,et al.  Software defined networking-based vehicular Adhoc Network with Fog Computing , 2015, 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM).

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

[25]  Ben-Jye Chang,et al.  Efficient Emergency Forwarding to Prevent Message Broadcasting Storm in Mobile Society via Vehicle-to-X Communications for 5G LTE-V , 2016, 2016 International Computer Symposium (ICS).

[26]  Luis Rodero-Merino,et al.  Finding your Way in the Fog: Towards a Comprehensive Definition of Fog Computing , 2014, CCRV.

[27]  Ali Kashif Bashir,et al.  An Efficient Channel Access Scheme for Vehicular Ad Hoc Networks , 2017, Mob. Inf. Syst..

[28]  Soufiene Djahel,et al.  A robust congestion control scheme for fast and reliable dissemination of safety messages in VANETs , 2012, 2012 IEEE Wireless Communications and Networking Conference (WCNC).

[29]  Raja Lavanya,et al.  Fog Computing and Its Role in the Internet of Things , 2019, Advances in Computer and Electrical Engineering.

[30]  Rajab Challoo,et al.  MAvanet: Message authentication in VANET using social networks , 2016, 2016 IEEE 7th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).

[31]  Samuel Pierre,et al.  Centralized and Localized Data Congestion Control Strategy for Vehicular Ad Hoc Networks Using a Machine Learning Clustering Algorithm , 2016, IEEE Transactions on Intelligent Transportation Systems.

[32]  Kamalrulnizam Abu Bakar,et al.  Beaconing Approaches in Vehicular Ad Hoc Networks: A Survey , 2013, Wireless Personal Communications.

[33]  Kang Kai,et al.  Fog computing for vehicular Ad-hoc networks: paradigms, scenarios, and issues , 2016 .

[34]  Qun Li,et al.  A Survey of Fog Computing: Concepts, Applications and Issues , 2015, Mobidata@MobiHoc.

[35]  Sherali Zeadally,et al.  Solving vehicular ad hoc network challenges with Big Data solutions , 2016, IET Networks.

[36]  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.

[37]  Kamini,et al.  VANET Parameters and Applications: A Review , 2010 .

[38]  Honoriu Valean,et al.  Accident reporting and guidance system: With automatic detection of the accident , 2016, 2016 20th International Conference on System Theory, Control and Computing (ICSTCC).

[39]  Ming Li,et al.  Opportunistic broadcast of event-driven warning messages in Vehicular Ad Hoc Networks with lossy links , 2011, Comput. Networks.

[40]  Jianping He,et al.  Data Dissemination in Software-Defined Vehicular Networks , 2017, 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall).

[41]  Haipeng Yao,et al.  A Survey of Mobile Information-Centric Networking: Research Issues and Challenges , 2018, IEEE Communications Surveys & Tutorials.

[42]  Feng Xia,et al.  Exploring Human Mobility Patterns in Urban Scenarios: A Trajectory Data Perspective , 2018, IEEE Communications Magazine.

[43]  Long Le,et al.  Performance Evaluation of Beacon Congestion Control Algorithms for VANETs , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

[44]  Feng Xia,et al.  LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data , 2017, World Wide Web.

[45]  Tao Zhang,et al.  Fog and IoT: An Overview of Research Opportunities , 2016, IEEE Internet of Things Journal.

[46]  Lalit Chourasia,et al.  Cloud-Assisted Safety Message Dissemination in VANET – Cellular Heterogeneous Wireless Network , 2018 .

[47]  Soumaya Cherkaoui,et al.  Enhancing safety messages dissemination over 802.11p/DSRC , 2013, 38th Annual IEEE Conference on Local Computer Networks - Workshops.

[48]  Shih-Hau Fang,et al.  A node management scheme for R2V connections in RSU-supported Vehicular Adhoc Networks , 2013, 2013 International Conference on Computing, Networking and Communications (ICNC).

[49]  Rakesh Kumar,et al.  A Comparative Study of Various Routing Protocols in VANET , 2011, ArXiv.

[50]  Rajkumar Buyya,et al.  Fog Computing: A Taxonomy, Survey and Future Directions , 2016, Internet of Everything.

[51]  Hongbo Zhu,et al.  The establishment of the network connectivity model in VANET , 2016, 2016 8th International Conference on Wireless Communications & Signal Processing (WCSP).

[52]  Feng Xia,et al.  Big Trajectory Data: A Survey of Applications and Services , 2018, IEEE Access.

[53]  Asif Ali Wagan,et al.  Efficient congestion control in VANET for safety messaging , 2010, 2010 International Symposium on Information Technology.

[54]  Kamalrulnizam Abu Bakar,et al.  Congestion Control Algorithm for Event-Driven Safety Messages in Vehicular Networks , 2011 .

[55]  Rajkumar Buyya,et al.  Fog Computing: Principles, Architectures, and Applications , 2016, ArXiv.

[56]  Douglas C. Schmidt,et al.  Using Smartphones to Detect Car Accidents and Provide Situational Awareness to Emergency Responders , 2010, MOBILWARE.

[57]  Sooksan Panichpapiboon,et al.  A Review of Information Dissemination Protocols for Vehicular Ad Hoc Networks , 2012, IEEE Communications Surveys & Tutorials.

[58]  Sinem Coleri Ergen,et al.  Multihop-Cluster-Based IEEE 802.11p and LTE Hybrid Architecture for VANET Safety Message Dissemination , 2016, IEEE Transactions on Vehicular Technology.

[59]  H. Madsen,et al.  Reliability in the utility computing era: Towards reliable Fog computing , 2013, 2013 20th International Conference on Systems, Signals and Image Processing (IWSSIP).

[60]  Marthony Taguinod,et al.  Policy-driven security management for fog computing: Preliminary framework and a case study , 2014, Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration (IEEE IRI 2014).

[61]  Maria Kihl,et al.  Inter-vehicle communication systems: a survey , 2008, IEEE Communications Surveys & Tutorials.

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

[63]  Feng Xia,et al.  Mobility Dataset Generation for Vehicular Social Networks Based on Floating Car Data , 2018, IEEE Transactions on Vehicular Technology.

[64]  Rakesh Kumar,et al.  A Framework For Handling Local Broadcast Storm Using Probabilistic Data Aggregation In VANET , 2013, Wirel. Pers. Commun..

[65]  Sindhu Grover,et al.  A Novel Model based on Group Controlled Observation for DDOS Attack Detection and Prevention in VANET , 2016 .

[66]  Xiang Cheng,et al.  Data Dissemination in VANETs: A Scheduling Approach , 2014, IEEE Transactions on Intelligent Transportation Systems.