A lane-based advanced forwarding protocol for internet of vehicles

Purpose The internet of vehicles (IoV) communication has recently become a popular research topic in the automotive industry. The growth in the automotive sector has resulted in significant standards and guidelines that have engaged various researchers and companies. In IoV, routing protocols play a significant role in enhancing communication safety for the transportation system. The high mobility of nodes in IoV and inconsistent network coverage in different areas make routing challenging. This paper aims to provide a lane-based advanced forwarding protocol for internet of vehicles (LAFP-IoV) for efficient data distribution in IoV. The proposed protocol’s main feature is that it can identify the destination zone by using position coordinates and broadcasting the packets toward the direction of destination. The novel suppression technique is used in the broadcast method to reduce the network routing overhead. Design/methodology/approach The proposed protocol considers the interferences between different road segments, and a novel lane-based forwarding model is presented. The greedy forwarding notion, the broadcasting mechanism, and the suppression approach are used in this protocol to reduce the overhead generated by standard beacon forwarding procedures. The SUMO tool and NS-2 simulator are used for the vehicle's movement pattern and to simulate LAFP-IoV. Findings The simulation results show that the proposed LAFP-IoV protocol performs better than its peer protocols. It uses a greedy method for forwarding data packets and a carry-and-forward strategy to recover from the local maximum stage. This protocol's low latency and good PDR make it ideal for congested networks. Originality/value The proposed paper provides a unique lane-based forwarding for IoV. The proposed work achieves a higher delivery ratio than its peer protocols. The proposed protocol considers the lanes while forwarding the data packets applicable to the highly dense scenarios.

[1]  J. H. Jafarian,et al.  A Game-Theoretically Optimal Defense Paradigm against Traffic Analysis Attacks using Multipath Routing and Deception , 2022, SACMAT.

[2]  Kalpna Guleria,et al.  Introducing Intelligence in Vehicular Ad Hoc Networks Using Machine Learning Algorithms , 2022, ECS Transactions.

[3]  Peyman Tirandazi,et al.  An efficient coverage and connectivity algorithm based on mobile robots for wireless sensor networks , 2022, Journal of Ambient Intelligence and Humanized Computing.

[4]  Tie Qiu,et al.  Routing With Traffic Awareness and Link Preference in Internet of Vehicles , 2022, IEEE Transactions on Intelligent Transportation Systems.

[5]  Kalpna Guleria,et al.  IoT based Smart Applications and Recent Research Trends , 2021, 2021 6th International Conference on Signal Processing, Computing and Control (ISPCC).

[6]  Yuanqi Yang,et al.  A SDN-based traffic estimation approach in the internet of vehicles , 2021, Wireless Networks.

[7]  M. Bilal,et al.  MADCR: Mobility aware dynamic clustering-based routing protocol in Internet of Vehicles , 2021, China Communications.

[8]  Gwanggil Jeon,et al.  An Enhanced Multi-Hop Intersection-Based Geographical Routing Protocol for the Internet of Connected Vehicles Network , 2021, IEEE Transactions on Intelligent Transportation Systems.

[9]  Khaleel Mershad,et al.  SURFER: A Secure SDN-Based Routing Protocol for Internet of Vehicles , 2021, IEEE Internet of Things Journal.

[10]  Imen Jemili,et al.  Towards general Internet of Vehicles networking: Routing protocols survey , 2020, Concurr. Comput. Pract. Exp..

[11]  Chelsea Dobbins,et al.  Public vs media opinion on robots and their evolution over recent years , 2020, CCF Transactions on Pervasive Computing and Interaction.

[12]  Honghao Gao,et al.  V2VR: Reliable Hybrid-Network-Oriented V2V Data Transmission and Routing Considering RSUs and Connectivity Probability , 2020, IEEE Transactions on Intelligent Transportation Systems.

[13]  Ali Ghaffari,et al.  Hybrid opportunistic and position-based routing protocol in vehicular ad hoc networks , 2019, Journal of Ambient Intelligence and Humanized Computing.

[14]  Wen Wu,et al.  Delay-Minimization Routing for Heterogeneous VANETs With Machine Learning Based Mobility Prediction , 2019, IEEE Transactions on Vehicular Technology.

[15]  Shang Gao,et al.  An End-to-End Load Balancer Based on Deep Learning for Vehicular Network Traffic Control , 2019, IEEE Internet of Things Journal.

[16]  Zibouda Aliouat,et al.  A review of routing protocols in internet of vehicles and their challenges , 2019, Sensor Review.

[17]  Abdul Hanan Abdullah,et al.  Multi-metric geographic routing for vehicular ad hoc networks , 2017, Wireless Networks.

[18]  Lei Liu,et al.  An Intersection-Based Geographic Routing with Transmission Quality Guaranteed in Urban VANETs , 2018, 2018 IEEE International Conference on Communications (ICC).

[19]  Anil K. Verma,et al.  An advanced forwarding routing protocol for urban scenarios in VANETs , 2017, Int. J. Pervasive Comput. Commun..

[20]  Bahman Abolhassani,et al.  An Adaptive Multipath Geographic Routing for Video Transmission in Urban VANETs , 2016, IEEE Transactions on Intelligent Transportation Systems.

[21]  Liang Zhao,et al.  A SVM based routing scheme in VANETs , 2016, 2016 16th International Symposium on Communications and Information Technologies (ISCIT).

[22]  Awais Ahmad,et al.  Cooperative Intelligence of Vehicles for Intelligent Transportation Systems (ITS) , 2016, Wirel. Pers. Commun..

[23]  Steven Martin,et al.  An Intersection-based QoS Routing in Vehicular Ad Hoc Networks , 2015, Mob. Networks Appl..

[24]  Zheng Liu,et al.  GeoSVR: A map-based stateless VANET routing , 2013, Ad Hoc Networks.

[25]  Fotini-Niovi Pavlidou,et al.  Junction-Based Geographic Routing Algorithm for Vehicular Ad hoc Networks , 2013, Wirel. Pers. Commun..

[26]  Javier Gozálvez,et al.  Contention-based forwarding with multi-hop connectivity awareness in vehicular ad-hoc networks , 2013, Comput. Networks.

[27]  Thomas R. Gross,et al.  An evaluation of inter-vehicle ad hoc networks based on realistic vehicular traces , 2006, MobiHoc '06.

[28]  Martin Mauve,et al.  A routing strategy for vehicular ad hoc networks in city environments , 2003, IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683).

[29]  Brad Karp,et al.  GPSR: greedy perimeter stateless routing for wireless networks , 2000, MobiCom '00.

[30]  Rawya Rizk,et al.  Advanced Greedy Hybrid Bio-Inspired Routing Protocol to Improve IoV , 2021, IEEE Access.

[31]  Rani Koshy,et al.  A Survey on VANETs Routing Protocols in Urban Scenarios , 2021 .

[32]  H. Hartenstein,et al.  Contention-based forwarding for street scenarios , 2004 .