Advanced Greedy Hybrid Bio-Inspired Routing Protocol to Improve IoV

Attia, Radwa; Hassaan, Abeer; Rizk, Rawya

doi:10.1109/access.2021.3114646

Cited by 25 publications

(12 citation statements)

References 40 publications

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“…The simulation results also shows that the AGHBI works well with both V2V and V2I environments. It significantly impacts PDR and delays while maintaining minimum hop count across all vehicles [63]. 15 Wireless Communications and Mobile Computing decrease the packet delay.…”

Section: Opportunistic and Position-based Routing (Opbr)mentioning

confidence: 99%

A Taxonomy and Analysis on Internet of Vehicles: Architectures, Protocols, and Challenges

Seth

Guleria

Panda

et al. 2022

Wireless Communications and Mobile Computing

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The accelerated evolution in computing and transmission automation of the Internet of Vehicles (IoV) has led to enormous research standards that attract many researchers and industries. This century of the Internet of Things (IoT) is propulsive to the routine vehicular ad hoc networks (VANETs) in the IoV. It has emerged as one of the major driving forces for innovations in the intelligent vehicular industry. The World Health Organization (WHO) report confirms that approximately 1.35 million people die because of accidents on the road every year. This requires considerable attention to incorporate more and more safety measures into the automobile industry. Intelligent transportation systems can help bridge the gap between the traditional and the intelligent automotive industry by connecting vehicle to vehicle (V2V) and vehicle to infrastructure (V2I), hence adding much safety in vehicular communication. This paper provides a comprehensive review of the Internet of Vehicles (IoV) which discusses the architectures of IoV including layer types, functions of layers, application area, and communication type supported. Further, it also provides an in-depth insight into state-of-the-art Medium Access Control (MAC) protocols and routing protocols used in IoV communication. The routing protocol comparative summarization considers important parameters which include communication types broadcast, unicast, cluster, multicast, forwarding strategy, recovery strategy, availability of map, and the type of environment urban or highway. The summarization of various protocols highlights strengths, research gaps, and application areas. Finally, the paper addresses various research challenges along with potential future enhancements for the IoV communication.

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Section: Opportunistic and Position-based Routing (Opbr)mentioning

confidence: 99%

A Taxonomy and Analysis on Internet of Vehicles: Architectures, Protocols, and Challenges

Seth

Guleria

Panda

et al. 2022

Wireless Communications and Mobile Computing

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“…MADCR protocol's performance is compared to that of comprehensive learning particle swarm optimization, ant colony optimization, and clustering algorithm for IoV based on dragonfly optimizer. It is observed that the suggested MADCR methodology boosts PDR by 6-16% while decreasing latency by 6-100 ms in real-time scenarios (Sennan et al, 2021) In (Attia et al, 2021), authors proposed an advanced greedy hybrid bio-inspired (AGHBI) routing algorithm based on the greedy forwarding system, a modified hybrid routing scheme using an artificial bee colony (ABC) optimization, that helps choose a route with the highest QoS parameters and maintains a path with the least amount of overflow. AGHBI uses two steps: a greedy scheme to transfer the packets is used to the nearest destination, followed by a modified hybrid routing system that uses an ABC optimization algorithm for a significant QoS route and preserves the route information with the least amount of overflow.…”

Section: Related Workmentioning

confidence: 99%

“…In (Attia et al , 2021), authors proposed an advanced greedy hybrid bio-inspired (AGHBI) routing algorithm based on the greedy forwarding system, a modified hybrid routing scheme using an artificial bee colony (ABC) optimization, that helps choose a route with the highest QoS parameters and maintains a path with the least amount of overflow. AGHBI uses two steps: a greedy scheme to transfer the packets is used to the nearest destination, followed by a modified hybrid routing system that uses an ABC optimization algorithm for a significant QoS route and preserves the route information with the least amount of overflow.…”

Section: Related Workmentioning

confidence: 99%

“…The simulation findings suggest that the AGHBI protocol is suitable for primary urban and highway settings, outperforming AODV and GPSR protocols in PDR by 13.9% and 29.7%, respectively. It significantly impacts PDR and delays while maintaining a minimum hop count across all vehicles (Attia et al , 2021). The simulation results indicate that the AGHBI protocol is scalable in large urban and highway regions, outperforming VSIM, AODV and GPSR by roughly 7%, 13.9% and 29.7% for PDRs and 39%, 72% and 61% for latency, respectively.…”

Section: Related Workmentioning

confidence: 99%

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A lane-based advanced forwarding protocol for internet of vehicles

Seth

Guleria

Panda

2023

IJPCC

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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.

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“…This method showed less cost, jitter, and delay compared to other methods. To improve the performance of IoV, a bioinspired advanced greedy hybrid routing protocol was proposed in [58], where a bee colony optimization combined with a greedy algorithm is used to choose the best route with high service quality and select a route with the minimum overflow. The simulation outcomes show that this protocol works well in both V2I and V2V environments and has a significant impact on enhancing delay and packet delivery ratio while maintaining a minimum hop count across all vehicles and reasonable overhead.…”

Section: Performance Of Swarm Intelligence-based Bioinspiredmentioning

confidence: 99%

A Study to Enhance the Route Optimization Algorithm for the Internet of Vehicle

Dhanare

Nagwanshi

Varma³

2022

Wireless Communications and Mobile Computing

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In the Internet of Things (IoT), the advancement of the new modern era of Internet-off driving, known as the Internet of Vehicles (IoV), is aimed at the Intelligent Transportation System (ITS) to improve road safety and traffic. Therefore, IoV is better for traffic management. But perhaps, the main challenges in this type of network are that timely decision to make adequate decisions by a driver under certain conditions of rapid change in topology, high vehicular mobility, and frequent link failures is hard to improve road safety. Therefore, an optimized and congestion-free route is required to collect real-time data from vehicles. Thus, some of the latest bioinspired optimization routing algorithms in the IoV environment are presented in this study. Hence, monitoring speed limits, pollution checks, and emergency responses to traffic accidents should also be considered while performing vehicle routing to avoid traffic problems. In the previous decades, many route-directing protocols for the IoV environment have been proposed that can handle the requirements of reliability and security. But such routing of protocols suffers from high complexity and scalability limitations in big-scale networks, routing overlays, etc. Therefore, their strengths, weaknesses, and critical characteristics are compared using various criteria for such algorithms. Then, a suggestion is made to propose a prescribed combined model of a multimodular bioinspired approach to IoV routing. Finally, the main future directions of research in this sector are highlighted.

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Advanced Greedy Hybrid Bio-Inspired Routing Protocol to Improve IoV

Cited by 25 publications

References 40 publications

A Taxonomy and Analysis on Internet of Vehicles: Architectures, Protocols, and Challenges

A Taxonomy and Analysis on Internet of Vehicles: Architectures, Protocols, and Challenges

A lane-based advanced forwarding protocol for internet of vehicles

A Study to Enhance the Route Optimization Algorithm for the Internet of Vehicle

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