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

Dhanare, Ritesh; Nagwanshi, Kapil Kumar; Varma, Shambhu D.

doi:10.1155/2022/1453187

Cited by 13 publications

(8 citation statements)

References 90 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Here, we discuss some of the promising studies from recent times that are analyzing the congestion problem. Dhanare et al [70] have analyzed various bio-inspired optimal routing algorithms for IoV scenarios from recent studies. Comparisons are drawn based on the strengths, weaknesses, and various other critical characteristics leading towards a potential combined model of a multi-modular bioinspired approach to IoV routing.…”

Section: Main Research Problemsmentioning

confidence: 99%

Internet of Vehicles and Real-Time Optimization Algorithms: Concepts for Vehicle Networking in Smart Cities

et al. 2022

View full text Add to dashboard Cite

Achieving sustainable freight transport and citizens’ mobility operations in modern cities are becoming critical issues for many governments. By analyzing big data streams generated through IoT devices, city planners now have the possibility to optimize traffic and mobility patterns. IoT combined with innovative transport concepts as well as emerging mobility modes (e.g., ridesharing and carsharing) constitute a new paradigm in sustainable and optimized traffic operations in smart cities. Still, these are highly dynamic scenarios, which are also subject to a high uncertainty degree. Hence, factors such as real-time optimization and re-optimization of routes, stochastic travel times, and evolving customers’ requirements and traffic status also have to be considered. This paper discusses the main challenges associated with Internet of Vehicles (IoV) and vehicle networking scenarios, identifies the underlying optimization problems that need to be solved in real time, and proposes an approach to combine the use of IoV with parallelization approaches. To this aim, agile optimization and distributed machine learning are envisaged as the best candidate algorithms to develop efficient transport and mobility systems.

show abstract

Section: Main Research Problemsmentioning

confidence: 99%

Internet of Vehicles and Real-Time Optimization Algorithms: Concepts for Vehicle Networking in Smart Cities

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Emotional impulses from these activities will go via the Delta, Theta, and Alpha bands in our brains. All of these discussed are a few examples of the application of SDN [8], [17], [18], [35].…”

Section: Previous Workmentioning

confidence: 99%

Effective Flow Table Space Management Using Policy-Based Routing Approach in Hybrid SDN Network

Paliwal

Nagwanshi

2022

IEEE Access

Self Cite

View full text Add to dashboard Cite

Software-defined networking makes forwarding devices easier to manage and provides centralized control. Because of the centralization, a network administrator can programme the devices cheaply. Network administrators make attempts to convert their entire network into SDN-compatible switches. A good balance of SDN and legacy switching functions can lead to a successful network scenario in network architecture. In this study, a hybrid network scenario is provided in which the external boundary forwarding devices of the service provider network are replaced with SDN devices. Still, the other internal forwarding devices continue to operate traditionally. The benefits of both SDN and legacy network design are combined, allowing the network administrator to reap the benefits of both. The network architecture employs a policy-based routing algorithm that takes advantage of free IP addresses from the free IP pool. The technique enables efficient use of available flow table space, which is critical in SDN architecture due to the small flow table size. The algorithm's efficiency is assessed using performance metrics such as network path stretch, throughput, latency delay, and so on, compared to traditional SDN controllers such as OpenDayLight, NOX, and POX. According to the experimental results, the suggested approach outperforms specific similar state-of-the-art techniques in the hybrid SDN domain.

show abstract

“…With the advent of the Internet of Vehicles (IoV) in smart cities, the applications have diverse network requirements that need to be satisfied [6]. One of the key issues in IoV is path organization, to forward the data on optimal paths considering the dynamic and mobile nature of the network [7].…”

Section: Introductionmentioning

confidence: 99%

SDN-Enabled Content Dissemination Scheme for the Internet of Vehicles

Sharif¹,

Sharif²,

Khan³

et al. 2023

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

The content-centric networking (CCN) architecture allows access to the content through name, instead of the physical location where the content is stored, which makes it a more robust and flexible content-based architecture. Nevertheless, in CCN, the broadcast nature of vehicles on the Internet of Vehicles (IoV) results in latency and network congestion. The IoVbased content distribution is an emerging concept in which all the vehicles are connected via the internet. Due to the high mobility of vehicles, however, IoV applications have different network requirements that differ from those of many other networks, posing new challenges. Considering this, a novel strategy mediator framework is presented in this paper for managing the network resources efficiently. Software-defined network (SDN) controller is deployed for improving the routing flexibility and facilitating in the interinteroperability of heterogeneous devices within the network. Due to the limited memory of edge devices, the delectable bloom filters are used for caching and storage. Finally, the proposed scheme is compared with the existing variants for validating its effectiveness.

show abstract

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

Cited by 13 publications

References 90 publications

Internet of Vehicles and Real-Time Optimization Algorithms: Concepts for Vehicle Networking in Smart Cities

Internet of Vehicles and Real-Time Optimization Algorithms: Concepts for Vehicle Networking in Smart Cities

Effective Flow Table Space Management Using Policy-Based Routing Approach in Hybrid SDN Network

SDN-Enabled Content Dissemination Scheme for the Internet of Vehicles

Contact Info

Product

Resources

About