SDN based V2X Networks for Disaster Management: A Systematic Literature Review

Muhammad Junaid Anjum, Muhammad Shoaib Farooq

Abstract


  

Disasters in an area or an accident in a city both result in loss of property and lives. To overcome this, a disaster management system needs to be in place, which is efficient for any type of scenario. Through the use of Software Defined Networks and Vehicle-to-Everything, it is possible to create such an effective disaster management system. However, simply defining an architecture is not a solution. Other factors such as the transmission of data and its reliability is also a key research point. In light of this, this article presents a systematic literature review of around 20 research works that was conducted by surveying different architectures and routing protocols of software defined vehicular networks in terms of any disaster related scenario. The major objective of this literature review was to present a review of different proposed architectures and various routing protocols and their subsequent network characteristics in the case of a disaster scenario. Also, different open research issues and challenges are highlighted for any kind of disaster scenario.

 



Full Text:

PDF

References


Improving Disaster Management: The role of IT in mitigation, preparedness, response and recovery., National Research Council, National Academics Press, 2007.

S. D. Gupta, S. Choudhury, and R. Chaki, “Disaster Management System Using Vehicular Ad Hoc Networks”, Adv. Computing & Systems for Security, Singapore, Springer, 2019, pp. 93-107.

M. A. Lèbre, F. Le Mouël, and E. Ménard, “Efficient Vehicular Crowdsourcing Models in VANET for Disaster Management”, in IEEE 91st VTC2020-Spring, 2020, pp. 1-5.

K. A. Khaliq, O. Chughtai, A. Shahwani, A. Qayyum, and J. Pannek, “An emergency response system: construction, validation, and experiments for disaster management in a vehicular environment”, Sensors, vol. 19, no. 5, pp. 1150, 2019.

A. Arooj, M. S. Farooq, T. Umer, and R. U. Shan, “Cognitive internet of vehicles and disaster management: a proposed architecture and future direction”, Transactions on Emerging Telecommunication Technologies, e3625, 2019.

L. Nkenyereye, L. Nkenyereye, S. M. Islam, Y. H. Choi, M. Bilal, and J. W. Jang, “Software-defined network-based vehicular networks: A position paper on their modeling and implementation”, Sensors, vol. 19, no. 7, pp. 3788, 2019.

Y. R. B. Al-Mayouf, O. A. Mahdi, N. A. Taha, N. F. Abdullah, S. Khan, and M. Alam, “ Accident management system based on vehicular network for an intelligent transportation system in urban environments”, Journal of Adv. Transportation, 2018.

Y. Sun, and K, Yamori, “Risk management and technology: Case studies of tsunami evacuation drills in Japan”, Sustainability, vol. 10, no. 9, pp. 2982, 2018.

N. Okumura, S. N. Jonkman, M. Esteban, B. Hofland, and T. Shibayama, “A method for tsunami risk assessment: a case study for Kamakura, Japan”, Natural Hazards, vol. 88, no. 3, pp. 1451-1472, 2017.

T. Zwęgliński, “The Use of Drones in Disaster Aerial Needs Reconnaissance and Damage Assessment–Three-Dimensional Modeling and Orthophoto Map Study”, Sustainability, vol. 12, no. 15, pp. 6080, 2020.

C. Luo, W. Miao, H. Ullah, S. McClean, G. Parr, and G. Min, “Unmanned aerial vehicles for disaster management” in Geological Disaster Monitoring based on Sensor Networks, Singapore, Springer, 2019, pp. 83-107.

UNISDR Terminology on Disaster Risk Reduction (2009), United Nations Office for Disaster Risk Reduction, pp. 1-30.

Institute for Health Metrics and Evaluation (IHME), (2018), Global Burden of Disease Study 2017 (GBD 2017) Results, 2018.

World Health Organization, Global status report on road safety 2018: summary (No. WHO/NMH/NVI/18.20), 2018.

V2X. [Website]. https://www.pcmag.com/encyclopedia/term/v2x. [Accessed on 4 January 2021]

Vehicular Communication System. [Website]. https://en.wikipedia.org/wiki/Vehicular_communication_systems. [Accessed on 4 January 2021]

What is V2X communication? Creating connectivity for the autonomous car era. [Website]. https://www.zdnet.com/article/what-is-v2x-communication-creating-connectivity-for-the-autonomous-car-era/. [Accessed on 4 January 2021]

P. C. Jain, “Trends in Next Generation Intelligent Transportation Systems”, 2021.

N. Raza, S. Jabbar, J. Han, and K. Han, “Social vehicle-to-everything (V2X) communication model for intelligent transportation systems based on 5G scenario”, in Proc. 2nd ICFNDS, 2018, pp. 1-8.

Vehicle to Everything (V2X). https://corporatefinanceinstitute.com/resources/knowledge/other/vehicle-to-everything-v2x/. [Accessed on 4 January 2021]

D. Kreutz, F. M. Ramos, P. E. Verissimo, C. E. Rothenberg, S. Azodolmolky, and S. Uhlig, “Software-defined Networking: A comprehensive survey”, in Proc of the IEEE, vol. 103, no. 1, 2014, pp. 14-76.

A. D. Maio, M. R. Palattela, R. Soua, L. Lamorte, X. Vilajosana, J. Alonso-Zarate, and T. Engel, “Enabling SDN in VANETs: What is the impact on security?”, Sensors, vol. 16, no. 12, pp. 2077, 2016.

M. M. Islam, M. T. R. Khan, M. M. Saad, and D. Kim, “Software-defined vehicular network (SDVN): A survey on architecture and routing”, Journal of Systems Architecture, vol. 114, 2020.

U. K. Raut, and M. K. Rawat, “Secure Software Defined Vehicular Network (SDVN)”, IJAST, vol. 29, no. 7, pp. 5284-5292, 2020.

S. Keele “Guidelines for performing systematic literature reviews in software engineering” Citeseer, 2007.

T. Dybå, and T. Dingsøyr, “Empirical studies of agile software development: A systematic review”, Information and Software Technology, vol. 50, no. 9-10, pp. 833-859, 2008.

A. Fernandez, E. Insfran, and S. Abrahão, “Usability evaluation methods for the web: A systematic mapping study”, Information and Software Technology, vol. 53, no. 8, pp. 789-817, 2011.

C. Mouradian, N. T. Jahromi, and R. H. Glitho, “NFV and SDN-based distributed IoT gateway for large-scale disaster management”, IEEE Internet of Things Journal, vol. 5, no. 5, pp. 4119-4131, 2018.

W. Shi, H. Zhou, J. Li, W. Xu, N. Zhang, and X. Shen, “Drone assisted vehicular networks: Architecture, challenges and opportunities”, IEEE Network, vol. 32, no. 3, pp. 130-137, 2018.

Y. Shibata, Y. Arai, Y. Saito, and J. Hakura, “A IoT Based Disaster Information Platform for Challenged Network Environment in Snow Countries” in Workshops of ICAINA, Springer, 2019, pp. 537-544.

J. Liu, J. Wan, D. Jia, B. Zeng, D. Li, C. H. Hsu, and H. Chen, “High-efficiency urban traffic management in context-aware computing and 5G communication”, IEEE Comm. Magazine, vol. 55, no. 1, pp. 34-40, 2017.

H. Zhou, W. Xu, J. Chen, and W. Wang, “Evolutionary V2X technologies toward the Internet of vehicles: Challenges and opportunities”, in Proc. Of the IEEE, vol. 108, no. 2, 2020, pp.308-323.

Z. MacHardy, A. Khan, K. Obana, and S. Iwashina, “V2X access technologies: Regulation, research, and remaining challenges”, IEEE Comm. Surveys & Tutorials, vol. 20, no. 3, pp. 1858-1877, 2018.

L. Zhao et al., “Vehicular communications: standardization and open issues”, IEEE Comm. Standards, vol. 2, no. 4, pp. 74-80, 2018.

H. Wang, T. Liu, B. Kim, C. W. Lin, S. Shiraishi, J. Xie, and Z. Han, “Architectural design alternatives based on cloud/edge/fog computing for connected vehicles”, IEEE Comm. Surveys & Tutorials, vol. 22, no. 4, pp. 2349-2377, 2020.

A. Masood et al., “Surveying pervasive public safety communication technologies in the context of terrorist attacks”, Physical Comm., vol. 41, pp. 101109, 2020.

Z. Li, T. Yu, R. Fukatsu, G. K. Tran, and K. Sakaguchi, “Proof-of-concept of a sdn based mmwave v2x network for safe automated driving”, in IEEE GLOBECOM, 2019, pp. 1-6.

Z. Li, T. Yu, R. Fukatsu, G. K. Tran, and K. Sakaguchi, “Towards Safe Automated Driving: Design of Software-Defined Dynamic MmWave V2X Networks and PoC Implementation”, IEEE Open Journal of Vehicular Technology, vol. 2, pp. 78-93, 2021.

H. Ghafoor, and I. Koo, “CR-SDVN: A cognitive routing protocol for software-defined vehicular networks”, IEEE Sensors Journal, vol. 18, no. 4, pp. 1761-1772, 2017.s

S. L. Aljohani, and M. J. Alenazi, “MPResiSDN: Multipath resilient routing scheme for SDN-enabled smart cities networks”, Applied Sciences, vol. 11, no. 4, pp. 1900, 2021.

K. A. Khaliq, O. Chughtai, A. Shahwani, A. Qayyum, and J. Pannek, “Road accidents detection, data collection and data analysis using V2X communication and edge/cloud computing”, Electronics, vol. 8, no. 8, pp. 896, 2019.

M. Adnan, J. Iqbal, A. Waheed, N. U. Amin, M. Zareei, S. Goudarzi, and A. Umer, “On the design of efficient hierarchic architecture for software defined vehicular networks”, Sensors, vol. 21, no. 4, pp. 1400, 2021.

A. Dusia, V. K. Mishra, and A. S. Sethi, “Control communication in sdn-based dynamic multi-hop wireless infrastructure-less networks”, in IEEE ICANTS, 2018, pp. 1-6.

E. Qafzezi, K. Bylykbashi, E. Spaho, and L. Barolli, “An intelligent approach for resource management in SDN-VANETs using fuzzy logic” in ICBWCCA, Springer, 2019, pp. 747-756.

O. A Saraerh, A. Alsaraira, I. Khan, and P. Uthansakul, “Performance evaluation of UAV-enabled LoRa networks for disaster management applications”, Sensors, vol. 20, no. 8, pp. 2396, 2020.

G. Raja, and A. Thomas, “Safer: Crowdsourcing based disaster monitoring system using software defined fog computing”, Mobile Networks and Applications, vol. 24, no. 5, pp. 1414-1424, 2019.

V. C. Nguyen, N. T, Dinh, and Y. Kim, “A Distributed NFV-Enabled Edge Cloud Architecture for ICN-Based Disaster Management Services”, Sensors, vol. 18, no. 12, pp. 4136, 2018.

G. Raja, P. Dhanasekaran, S. Anbalagan, A. Ganapathisubramaniyan, and A. K. Bashir, “SDN-enabled traffic alert system for IoV in smart cities” in IEEE INFOCOM 2020, 2020, pp. 1093-1098.




DOI: http://dx.doi.org/10.21015/vtse.v9i4.863

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.