A SDN-based traffic estimation approach in the internet of vehicles

Yang, Yuanqi

doi:10.1007/s11276-021-02668-1

Cited by 7 publications

(7 citation statements)

References 39 publications

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“…• Traveller information: Each travelling user is provided with real-time information such as travel time, travel speed, delay, accidents on roads, changes in route, diversions, work zone conditions, and so on [118]. • Public transportation systems: Connected bus or train systems allow riders to track the location of their vehicle in real-time, providing more accurate information about arrival times and helping to reduce wait times [138]. • Safety applications: Dedicated short-range communication enables vehicles to communicate with each other and the transportation infrastructure, allowing for features such as collision avoidance and lane change assistance [152].…”

Section: Smart Transportationmentioning

confidence: 99%

Integrating Edge Computing and Software Defined Networking in Internet of Things: A Systematic Review

Kamarudin,

Ameedeen,

Ab Razak

et al. 2023

ijcsm

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The Internet of Things (IoT) has transformed our interaction with the world by connecting devices, sensors, and systems to the Internet, enabling real-time monitoring, control, and automation in various applications such as smart cities, healthcare, transportation, homes, and grids. However, challenges related to latency, privacy, and bandwidth have arisen due to the massive influx of data generated by IoT devices and the limitations of traditional cloud-based architectures. Moreover, network management, interoperability, security, and scalability issues have emerged due to the rapid growth and heterogeneous nature of IoT devices. To overcome such problems, researchers proposed a new architecture called Software Defined Networking for Edge Computing in the Internet of Things (SDN-EC-IoT), which combines Edge Computing for the Internet of Things (EC-IoT) and Software Defined Internet of Things (SDIoT). Although researchers have studied EC-IoT and SDIoT as individual architectures, they have not yet addressed the combination of both, creating a significant gap in our understanding of SDN-EC-IoT. This paper aims to fill this gap by presenting a comprehensive review of how the SDN-EC-IoT paradigm can solve IoT challenges. To achieve this goal, this study conducted a literature review covering 74 articles published between 2019 and 2023. Finally, this paper identifies future research directions for SDN-EC-IoT, including the development of interoperability platforms, scalable architectures, low latency and Quality of Service (QoS) guarantees, efficient handling of big data, enhanced security and privacy, optimized energy consumption, resource-aware task offloading, and incorporation of machine learning.

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Section: Smart Transportationmentioning

confidence: 99%

Integrating Edge Computing and Software Defined Networking in Internet of Things: A Systematic Review

Kamarudin,

Ameedeen,

Ab Razak

et al. 2023

ijcsm

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“…The IoV, a crucial application within the IoT for ITS, seeks to automate security, safety, and efficiency functions in vehicles while promoting the commercialization of vehicular networks [4]. Nevertheless, it faces obstacles concerning security, privacy, and the autonomous management of vehicles.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Detection and Mitigation Mechanism to Protect SD-IoV Systems Against Controller-Targeted DDoS Attacks

Alemu,

Muhammed,

Belachew

et al. 2024

Preprint

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Software-defined networking (SDN) has emerged as a transformative technology that separates the control plane from the data plane, providing advantages such as flexibility, centralized control, and programmability. This innovation proves particularly beneficial for Internet of Vehicles (IoV) networks, which amalgamate the Internet of Things (IoT) and Vehicular Ad Hoc Network (VANET) to implement Intelligent Transportation Systems (ITS). By employing an SDN controller, IoV networks can leverage centralized control and enhanced manageability, leading to the emergence of Software-Defined Internet of Vehicles (SD-IoV) as a promising solution for future communications. However, the integration of SDN into IoV networks introduces a potential vulnerability in the form of a single point of failure, particularly susceptible to Distributed Denial of Service (DDoS) attacks. This is because of the centralized nature of SDN and the dynamic nature of IoV. In this context, the SDN controller becomes a prime target for attackers who flood it with massive packet-in messages. To address this security concern, we propose an efficient and lightweight attack detection and mitigation scheme within the SDN controller. The scheme includes a detection module that utilizes entropy and flow rate to identify patterns indicative of attack traffic behavior. Additionally, a mitigation module is designed to minimize the effect of attack traffic on the normal operation, this is performed through analysis of payload lengths. An adaptive threshold computation for all parameter values enhances the scheme's effectiveness. We conducted simulations using SUMO, Mininet-WiFi, and Scapy. The simulation results demonstrate the efficacy of our proposed scheme in terms of detection time, accuracy, mitigation efficiency, controller load, and link bandwidth consumption, showcasing its superiority compared to existing works in the field.

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“…In an IoV environment, each vehicle may operate as a router, forwarding messages to other cars in its vicinity. Aside from safety applications, IoV provides various services, such as parking spot availability and traffic jam information (Yang, 2021; Li et al , 2019; Tang et al , 2019). There are five types of communication supported by IoV, as depicted in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

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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A SDN-based traffic estimation approach in the internet of vehicles

Cited by 7 publications

References 39 publications

Integrating Edge Computing and Software Defined Networking in Internet of Things: A Systematic Review

Integrating Edge Computing and Software Defined Networking in Internet of Things: A Systematic Review

A Comprehensive Detection and Mitigation Mechanism to Protect SD-IoV Systems Against Controller-Targeted DDoS Attacks

A lane-based advanced forwarding protocol for internet of vehicles

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