Congestion and Position Aware Dynamic Routing for the Internet of Vehicles

Han, Ruiyan; Guan, Quansheng; Yu, F. Richard; Shi, Jing; Ji, Fei

doi:10.1109/tvt.2020.3041948

Cited by 14 publications

(10 citation statements)

References 46 publications

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“…To improve quality of service (QoS) and reduce server costs, VANETs and IoV need an effective resource management solution. In this direction and the field of congestion control in VANETs and IoV networks, researchers have improved the main challenges of resource management, which are bandwidth and storage, by using factors such as a better average PDR 18,26,35 , better accuracy 21,38 , increasing transmission performance 22,28,31 , improving arrival time 23,36 , T A B L E 2 Definitions related to the field of congestion control in IoV and VANETs.…”

Section: Problems Of Congestion Control In Iov and Vanetsmentioning

confidence: 99%

A systematic review of congestion control in internet of vehicles and vehicular ad hoc networks: Techniques, challenges, and open issues

Hemmati,

Zarei,

Rahmani

2023

Int J Communication

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SummaryThe Internet of Vehicles (IoV) integrates various technologies to enable real‐time data exchange between vehicles, pedestrians, roadside units, unmanned aerial vehicles, road‐added things, and so forth. IoV is an improved internet‐enabled vehicular ad hoc network (VANET), which is similarly affected by data traffic aggravated by time‐variant network density and the network's topological and informational changes. A high density of simultaneous vehicular communication leads to channel saturation and data congestion, which leads to rapid increases in data loss, packet latency, and lower service quality. Due to the importance of real‐time data communications in high dynamic networks, we used the systematic literature review (SLR) approach to identify 54 articles up to May 2023 to discuss the ways to deal with data traffic congestion in VANETs and IoV networks as well as existing and upcoming issues in this area.

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Section: Problems Of Congestion Control In Iov and Vanetsmentioning

confidence: 99%

A systematic review of congestion control in internet of vehicles and vehicular ad hoc networks: Techniques, challenges, and open issues

Hemmati,

Zarei,

Rahmani

2023

Int J Communication

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“…The vehicle data transmission capacity can be obtained by normalizing the distance and cache of the vehicle, then the vehicle with high forwarding capacity is selected as the next-hop forwarding node. A Distance weighted Back-pressure Dynamic Routing protocol (DBDR) is proposed in [28], it prioritizes the vehicles that are closed to the destination and have a large backlog differential of buffer queues to provide dynamic hop-by-hop forwarding and is jointly designed with multi-hop internet gateway discovery procedure and vehicle mobility management for the internet services. A connectivity aware of the quality of transmission guaranteed geographically routing protocol in [29] presents a novel geographic routing in urban IoV.…”

Section: Related Workmentioning

confidence: 99%

Advanced Greedy Hybrid Bio-Inspired Routing Protocol to Improve IoV

2021

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New vehicles are now expected to be involved in the rapid development of Intelligent Transport Systems (ITS). Vehicular Ad hoc NETwork (VANET) is the basic equipment used for the production of ITSs with a rapid and dynamic network topology. The increasing number of connected vehicles and the need for real-time data processing has created a growing demand for turning real VANETs into an automotive Internet of Vehicle (IoV) for achieving a goal of an effective and smart future transportation system. In this paper, an Advanced Greedy Hybrid Bio-Inspired (AGHBI) routing protocol with a greedy forwarding system is proposed to improve the performance of IoV, where a modified hybrid routing scheme with the help of a bee colony optimization is used to select the highest quality of service route and maintain the path with minimum overflow. Simulation results confirm that the proposed protocol can cope well with both Vehicle to Vehicle (V2V), and Vehicle to Infrastructure (V2I) environments and has a great impact on improving the packet delivery ratio, and the delay, while attaining acceptable overhead and hops count among all vehicles.

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“…Thus, it is significant to develop an optimal reliable path for transmission in multiple routes [5], [6]. Currently, passive routing protocols like Ad hoc ondemand distance (AODV), dynamic source routing (DSR), and the destination-sequenced distance vector (DSDV), do not apply to vehicle-to-vehicle communication [7], [8]. To solve the routing problems in VANET, an enhanced genetic algorithm (EGA) and lion optimization routing protocol (LORP) are suggested.…”

Section: Introductionmentioning

confidence: 99%

A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network

Rashid

Hamdi

Audah

et al. 2023

IJ-AI

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Vehicular ad-hoc network (VANET) is dynamic and it works on various noteworthy applications in intelligent transportation systems (ITS). In general, routing overhead is more in the VANETs due to their properties. Hence, need to handle this issue to improve the performance of the VANETs. Also due to its dynamic nature collision occurs. Up till now, we have had immense complexity in developing the multi-constrained network with high quality of forwarding (QoF). To solve the difficulties especially to control the congestion this paper introduces an enhanced genetic algorithmbased lion optimization for QoF-based routing protocol (EGA-LOQRP) in the VANET network. Lion optimization routing protocol (LORP) is an optimization-based routing protocol that can able to control the network with a huge number of vehicles. An enhanced genetic algorithm (EGA) is employed here to find the best possible path for data transmission which leads to meeting the QoF. This will result in low packet loss, delay, and energy consumption of the network. The exhaustive simulation tests demonstrate that the EGA-LOQRP routing protocol improves performance effectively in the face of congestion and QoS assaults compared to the previous routing protocols like Ad hoc on-demand distance vector (AODV), ant colony optimization-AODV (ACO-AODV) and traffic aware segmentAODV (TAS-AODV).

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Congestion and Position Aware Dynamic Routing for the Internet of Vehicles

Cited by 14 publications

References 46 publications

A systematic review of congestion control in internet of vehicles and vehicular ad hoc networks: Techniques, challenges, and open issues

A systematic review of congestion control in internet of vehicles and vehicular ad hoc networks: Techniques, challenges, and open issues

Advanced Greedy Hybrid Bio-Inspired Routing Protocol to Improve IoV

A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network

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