UAV-Assisted Hybrid Scheme for Urban Road Safety Based on VANETs

Traffic congestion control is becoming a popular field of research due to the rapid development of the automotive market. Vehicular ad hoc networks (VANETs) have become the core research technology for numerous application possibilities related to road safety. Road congestions have been a serious issue of all time since the nodes have high mobility and transmission range is limited, resulting in an interruption of communication. One of the significant technical challenges faced in implementing VANET is the design of the routing protocol, providing adequate information and a reliable source for the destination. We proposed a novel mechanism unmanned aerial vehicle (UAV)-assisted ad hoc on-demand distance vector (AODV) routing protocol (UAVa) for current-time traffic information accumulation and sharing to the entire traffic network and to control congestions before it happens. The UAV-assisted (UAVa) protocol is dedicated to urban environments, and its primary goal is to enhance the performance of routing protocols based on intersections. We compared the overall performance of existing routing protocols, namely ad hoc on-demand distance vector. The simulations were done by using OpenStreetMap (OSM), Network Simulator (NS-2.35), Simulation of Urban Mobility (SUMO), and VanetMobiSim. Furthermore, we compared the simulation results with AODV, and it shows that UAV-assisted (UAVa) AODV has significantly enhanced the packet delivery ratio, reduced the end-to-end delay, improved the average and instant throughput, and saved more energy. The results show that the UAVa is more robust and effective and we can conclude that UAVa is more suitable for VANETs.

[1]  Pradeep Kumar Ts,et al.  DISTANCE AND HOPS-BASED ENERGY ESTIMATION IN WIRELESS SENSOR NETWORKS , 2017 .

[2]  Sherali Zeadally,et al.  Vehicular ad hoc networks (VANETS): status, results, and challenges , 2010, Telecommunication Systems.

[3]  Rojeena Bajracharya,et al.  Challenges of Future VANET and Cloud-Based Approaches , 2018, Wirel. Commun. Mob. Comput..

[4]  Aurenice M. Oliveira,et al.  Improvement and Performance Evaluation of GPSR-Based Routing Techniques for Vehicular Ad Hoc Networks , 2019, IEEE Access.

[5]  Francesca Cuomo,et al.  Epidemic and Timer-Based Message Dissemination in VANETs: A Performance Comparison , 2020 .

[6]  Jong-Wook Jang,et al.  Result Based on NS2, Simulation and Emulation Verification , 2009, 2009 International Conference on New Trends in Information and Service Science.

[7]  Demin Li,et al.  Real-Time Path Planning in Urban Area via VANET-Assisted Traffic Information Sharing , 2018, IEEE Transactions on Vehicular Technology.

[8]  Ramon Sanchez-Iborra,et al.  SURROGATES: Virtual OBUs to Foster 5G Vehicular Services , 2019, Electronics.

[9]  Pascal Lorenz,et al.  U2RV: UAV‐assisted reactive routing protocol for VANETs , 2019, Int. J. Commun. Syst..

[10]  Cristian Borcea,et al.  VANET Routing on City Roads Using Real-Time Vehicular Traffic Information , 2009, IEEE Transactions on Vehicular Technology.

[11]  Prabhakar Kumar,et al.  Congestion control approach by reducing the number of messages in VANET , 2015, 2015 4th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions).

[12]  Muhammad Fahad Khan,et al.  Optimized Node Clustering in VANETs by Using Meta-Heuristic Algorithms , 2020, Electronics.

[13]  Sofie Pollin,et al.  Cellular UAV-to-UAV Communications , 2019, 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).

[14]  Banoth Ravi,et al.  Performance Analysis of AODV and EDAODV Routing Protocol Under Congestion Control in VANETs , 2018, 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT).

[15]  Arunita Jaekel,et al.  Congestion Control in V2V Safety Communication: Problem, Analysis, Approaches , 2019, Electronics.

[16]  Prasant Kumar Sahu,et al.  A comparative study on routing protocols for VANETs , 2019, Heliyon.

[17]  Qiang Fan,et al.  Performance Analysis of IEEE 802.11p for Continuous Backoff Freezing in IoV , 2019, Electronics.

[18]  Fen Zhou,et al.  Intelligent UAV-assisted routing protocol for urban VANETs , 2017, Comput. Commun..

[19]  Panagiotis Papadimitratos,et al.  Vehicular communication systems: Enabling technologies, applications, and future outlook on intelligent transportation , 2009, IEEE Communications Magazine.

[20]  Hamid R. Rabiee,et al.  MobiSim: A Framework for Simulation of Mobility Models in Mobile Ad-Hoc Networks , 2007 .

[21]  Saad Harous,et al.  Congestion control techniques in VANETs: A survey , 2017, 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC).

[22]  Kenneth Tze Kin Teo,et al.  SUMO enhancement for vehicular ad hoc network (VANET) simulation , 2017, 2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS).

[23]  Wei Zhao,et al.  A Novel Cross-Layer V2V Architecture for Direction-Aware Cooperative Collision Avoidance , 2020 .

[24]  Yasser Zahedi,et al.  CJBR: connected junction-based routing protocol for city scenarios of VANETs , 2019, Telecommun. Syst..

[25]  Reza Curtmola,et al.  Dynamic Interior Point Method for Vehicular Traffic Optimization , 2020, IEEE Transactions on Vehicular Technology.

[26]  Velanganny Cyrilraj,et al.  A vehicle control system using a time synchronized Hybrid VANET to reduce road accidents caused by human error , 2016, Veh. Commun..

[27]  Pascal Lorenz,et al.  Network Life Time maximization of the AOMDV Protocol Using Nodes Energy Variation , 2018, Netw. Protoc. Algorithms.

[28]  Usman Ali Khan,et al.  Multi-Layer Problems and Solutions in VANETs: A Review , 2019, Electronics.

[29]  Demin Li,et al.  A Path Planning Approach with Maximum Traffic Flow and Minimum Breakdown Probability in Complex Road Network , 2018, CSoNet.

[30]  Jian Wang,et al.  A Survey of Vehicle to Everything (V2X) Testing , 2019, Sensors.