Simulations of VANET Scenarios with OPNET and SUMO

Kaisser, Florent; Gransart, Christophe; Berbineau, Marion

doi:10.1007/978-3-642-29667-3_9

Cited by 24 publications

(9 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is worth mentioning that our proposed DEBCK method was implemented using street map of the city of Erlangen, which was integrated via "Simulation of Urban Mobility" SUMO [36] into our simulated scenario of NS-2 simulator. This map was extracted from the open-source "OpenStreetMap," which was widely used by the researchers in deploying their VANET methods [37,38]. Figure 4 demonstrates the selected city sector that was simulated of Erlangen city.…”

Section: Performance Evaluationmentioning

confidence: 99%

Smart Handoff Technique for Internet of Vehicles Communication using Dynamic Edge-Backup Node

et al. 2020

View full text Add to dashboard Cite

A vehicular adhoc network (VANET) recently emerged in the the Internet of Vehicles (IoV); it involves the computational processing of moving vehicles. Nowadays, IoV has turned into an interesting field of research as vehicles can be equipped with processors, sensors, and communication devices. IoV gives rise to handoff, which involves changing the connection points during the online communication session. This presents a major challenge for which many standardized solutions are recommended. Although there are various proposed techniques and methods to support seamless handover procedure in IoV, there are still some open research issues, such as unavoidable packet loss rate and latency. On the other hand, the emerged concept of edge mobile computing has gained crucial attention by researchers that could help in reducing computational complexities and decreasing communication delay. Hence, this paper specifically studies the handoff challenges in cluster based handoff using new concept of dynamic edge-backup node. The outcomes are evaluated and contrasted with the network mobility method, our proposed technique, and other cluster-based technologies. The results show that coherence in communication during the handoff method can be upgraded, enhanced, and improved utilizing the proposed technique.

show abstract

Section: Performance Evaluationmentioning

confidence: 99%

Smart Handoff Technique for Internet of Vehicles Communication using Dynamic Edge-Backup Node

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The network simulation is performed by OMNeT++ [21] along with the physical layer modeling toolkit MiXiM 3 , which makes it possible to employ accurate models for radio interference, as well as shadowing by static and moving obstacles. Added to that, the simulation of Urban Mobility is performed thanks to SUMO [22], which is a microscopic and continuous road traffic simulator. With those two well-established simulators, the nodes simulated by OMNeT++ can interact with SUMO to simulate the influence of the IVC on road traffic and mobility.…”

Section: Simulation Settingsmentioning

confidence: 99%

A scalable data dissemination protocol based on vehicles trajectories analysis

2018

View full text Add to dashboard Cite

The emergence of affordable wireless devices in vehicle ad hoc networks was a key step towards improving road safety as well as transport efficiency. Through informing vehicles about interesting safety and non-safety events, the challenge to take up would be to avoid, as far as possible, the broadcast storm problem. Thus, the design of an efficient dissemination protocol has been of paramount importance. The thriving challenge would be to maximize the reachability ratio. At the crossroads of the wealthy number of literature approaches stands the definition of the zone of relevance for event dissemination. Unfortunately, the definition of this zone of relevance is carried out in an ad hoc manner. In this paper, and to palliate this shortage, we introduce a new infrastructureless geocast approach, called data Dissemination Protocol based on Map Splitting (DPMS). The main thrust of the DPMS stands on the formalization of the zone of relevance through the mining of correlations between kept track connections of vehicle trajectories versus regions. These correlations are faithfully described through a set of formal concepts. This latter notion stands at the corner stone of the Formal Concept Analysis (FCA) field. Therefore, we provide an efficient determination of the zone of relevance through the instantiation of the well known cover-set problem. The performed experiments show that DPMS outperforms its competitors in terms of effectiveness and efficiency.

show abstract

“…The network simulation is performed by OMNeT++ along with the physical layer modeling toolkit MiXiM. Moreover, urban mobility is simulated with microscopic and continuous road traffic simulation using the SUMO simulator. These 2 simulators are actually included in the Veins framework.…”

Section: Performance Evaluationmentioning

confidence: 99%

MPC: A RSUs deployment strategy for VANET

Yeferny

Allani

2018

Int J Communication

View full text Add to dashboard Cite

Summary A Vehicle AdHoc Network is mainly composed of mobile vehicles and fixed Road Site Units (RSUs). The latter is usually very expensive to deploy and has a crucial role in maintaining the network connectivity. Therefore, the design of an efficient RSU deployment strategy that enables a high coverage ratio and a lower deployment cost has been of paramount importance. In this respect, we introduce in this paper a new spatiotemporal coverage strategy for nonsafety Vehicle AdHoc Network applications like driving assistance and business promotion, called Minimal Mobility Patterns Coverage (MPC). The main thrust of MPC is to (1) depict the mobility patterns of moving vehicles from their trace files and then (2) compute the adequate RSU locations in order to cover the extracted mobility patterns by the minimal possible number of RSUs. To this end, we firstly provide a new method to depict the mobility patterns of vehicles by mining the correlations between the kept track connections of vehicle trajectories versus crossed junctions. Secondly, we introduce a new way to compute the adequate RSU locations through the instantiation of the well‐known problem of extracting minimal transversals of a hypergraph. Experimental results show that our RSUs deployment strategy performs better than baseline strategies.

show abstract

Simulations of VANET Scenarios with OPNET and SUMO

Cited by 24 publications

References 12 publications

Smart Handoff Technique for Internet of Vehicles Communication using Dynamic Edge-Backup Node

Smart Handoff Technique for Internet of Vehicles Communication using Dynamic Edge-Backup Node

A scalable data dissemination protocol based on vehicles trajectories analysis

MPC: A RSUs deployment strategy for VANET

Contact Info

Product

Resources

About