Performance evaluation of AODV, DSR, GRP and OLSR for VANET with real-world trajectories

Rivoirard, Lucas; Wahl, Martine; Sondi, Patrick; Berbineau, Marion; Gruyer, Dominique

doi:10.1109/itst.2017.7972224

Cited by 27 publications

(15 citation statements)

References 16 publications

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“…We can evaluate the overall request rate a server might expect in a fully decentralized VFC yet keeping QoS guarantees based on request rates from each client. We extracted values of vehicle density from other works 23,43 and listed in Table 2.…”

Section: Discussionmentioning

confidence: 99%

FogWise: On the limits of the coexistence of heterogeneous applications on Fog computing and Internet of Vehicles

Mendonca

Dias

d’Orey

et al. 2020

Trans Emerging Tel Tech

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Mobile devices, Internet of Things applications, and connected vehicles in the Internet of Vehicles (IoV) are proliferating. Recently, vehicles have emerged as a possibility to become communication and processing infrastructures called vehicular Fog computing (VFC). Thus, science and industry forecast increasing demand for communication and cloud infrastructures to deal with data traffic, processing, and storage. Still, they do not evaluate that properly. This work investigates how heterogeneity affects the ability of IoV and VFC to meet application requirements. We leverage Fog computing, which extends Edge and Cloud computing and complements them, especially to meet str applications with strict latency requirements. We built a simulation model that evaluates how vehicles behave in such an environment. We argue that vehicles need to follow request‐processing‐response‐actuation programming model based on distributed auction protocol to match clients and servers and still meet latency requirements. We extend and propose requirements that both applications and architectures should meet. Preliminary results indicate thresholds in terms of vehicle density, request rate, request size, client‐server ratio, and auction method in which VFC can operate to meet application requirements under mobility.

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Section: Discussionmentioning

confidence: 99%

FogWise: On the limits of the coexistence of heterogeneous applications on Fog computing and Internet of Vehicles

Mendonca

Dias

d’Orey

et al. 2020

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…This steering convention includes two foundation activities called route discovery and route maintenance. According to [21] the source node goes through an RREQ to propose the method of data or packet transmission to the specific definition node. Accordingly, the mechanism is used to detect the route between the source and distention for future use.…”

Section: ) Reactive (On-demand) Routing Protocolsmentioning

confidence: 99%

A Comprehensive Survey: Benefits, Services, Recent Works, Challenges, Security, and Use Cases for SDN-VANET

et al. 2020

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Vehicular communication networks is a powerful tool that enables numerous vehicular data services and applications. The rapid growth in vehicles has also resulted in the vehicular network becoming heterogeneous, dynamic, and large-scale, making it hard to meet the strict requirements, such as extremely latency, high mobility, top security, and enormous connections of the fifth-generation network. Previous studies have shown that with the increase in the application of Software-Defined Networking (SDN) on Vehicular Ad-hoc Network (VANET) in industries, researchers have exerted considerable efforts to improve vehicular communications. This study presents an exhaustive review of previous works by classifying them based on based on wireless communication, particularly VANET. First, a concise summary of the VANET structure and SDN controller with layers and details of their infrastructure is provided. Second, a description of SDN-VANET applications in different wireless communications, such as the Internet of Things (IoT) and VANET is provided with concentration on the examination and comparison of SDN-VANET works on several parameters. This paper also provides a detailed analysis of the open issues and research directions accomplished while integrating the VANET with SDN. It also highlights the current and emerging technologies with use cases in vehicular networks to address the several challenges in the VANET infrastructure. This survey acts as a catalyst in raising the emergent robustness routing protocol, latency, connectivity and security issues of future SDN-VANET architectures. INDEX TERMS Vehicular ad hoc network (VANET), SDN, 5G, Internet of Vehicles (IoV), routing protocol, connectivity, mobility management, security.

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“…For the UIoV, there is a need for the development of algorithms and protocols which are less sensitive to the number of vehicle nodes, as there could be a varying number of vehicles in the network at different times and situations. Rivoirard et al [104] performed simulations with real world trajectories and remarked that reactive routing protocols are more suitable to be used in sparse vehicle networks, and proactive protocols gives better performance in medium size networks. Other performance metrics (e.g.…”

Section: A Technological Challengesmentioning

confidence: 99%

Deployment of IoV for Smart Cities: Applications, Architecture, and Challenges

et al. 2019

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The Internet of Vehicles (IoV) is a convergence of the mobile Internet and the Internet of Things (IoT), where vehicles function as smart moving intelligent nodes or objects within the sensing network. This paper gives two contributions to the state-of-the-art for IoV technology research. First, we present a comprehensive review of the current and emerging IoV paradigms and communication models with an emphasis on deployment in smart cities. Currently, surveys from many authors have focused concentration on the IoV as only serving applications for intelligent transportation like driver safety, traffic efficiency, and infotainment. This paper presents a more inclusive review of the IoV for also serving the needs of smart cities for large-scale data sensing, collection, information processing, and storage. The second component of the paper presents a new universal architecture for the IoV which can be used for different communication models in smart cities to address the above challenges. It consists of seven layers: vehicle identification layer, object layer, inter-intra devices layer, communication layer, servers and cloud services layer, big data and multimedia computation layer, and application layer. The final part of this paper discusses various challenges and gives some experimental results and insights for future research direction such as the effects of a large and growing number of vehicles and the packet delivery success rate in the dynamic network structure in a smart city scenario. INDEX TERMS Internet of Vehicles, IoV, layer architecture, smart city, applications, big data.

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Performance evaluation of AODV, DSR, GRP and OLSR for VANET with real-world trajectories

Cited by 27 publications

References 16 publications

FogWise: On the limits of the coexistence of heterogeneous applications on Fog computing and Internet of Vehicles

FogWise: On the limits of the coexistence of heterogeneous applications on Fog computing and Internet of Vehicles

A Comprehensive Survey: Benefits, Services, Recent Works, Challenges, Security, and Use Cases for SDN-VANET

Deployment of IoV for Smart Cities: Applications, Architecture, and Challenges

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