Performance and Execution Evaluation of VANETs Routing Protocols in different Scenarios

Rehman, Mujeeb Ur; Khan, Shahbaz; Begum, Shabana; Ahmed, Sheeraz

doi:10.4108/eai.10-4-2018.154458

Cited by 8 publications

(3 citation statements)

References 18 publications

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“…The study [16] examined the performance of several routing protocols, including AODV, DSR, and DSDV, using different performance parameters, such as data throughput, PDR, end-to-end delay, and network stability. The authors stated that it is difficult to select a routing protocol that suits all requirements.…”

Section: Related Workmentioning

confidence: 99%

Performance Assessment and Modeling of Routing Protocol in Vehicular Ad Hoc Networks Using Statistical Design of Experiments Methodology: A Comprehensive Study

Ajjaj

Houssaini

Hain

et al. 2022

ASI

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The performance assessment of routing protocols in vehicular ad hoc networks (VANETs) plays a critical role in testing the efficiency of the routing algorithms before deployment in real conditions. This research introduces the statistical design of experiments (DOE) methodology as an innovative alternative to the one factor at a time (OFAT) approach for the assessment and the modeling of VANET routing protocol performance. In this paper, three design of experiments methods are applied, namely the two-level full factorial method, the Plackett–Burman method and the Taguchi method, and their outcomes are comprehensively compared. The present work considers a case study involving four factors namely: node density, number of connections, black hole and worm hole attacks. Their effects on four measured outputs called responses are simultaneously evaluated: throughput, packet loss ratio, average end-to-end delay and routing overhead of the AODV routing protocol. Further, regression models using the least squares method are generated. First, we compare the main effects of factors resulted from the three DOE methods. Second, we perform analysis of variance (ANOVA) to explore the statistical significance and compare the percentage contributions of each factor. Third, the goodness of fit of regression models is assessed using the adjusted R-squared measure and the fitting plots of measured versus predicted responses. VANET simulations are implemented using the network simulator (NS-3) and the simulator of urban mobility (SUMO). The findings reveal that the design of experiments methodology offers powerful mathematical, graphical and statistical techniques for analyzing and modeling the performance of VANET routing protocols with high accuracy and low costs. The three methods give equivalent results in terms of the main effect and ANOVA analysis. Nonetheless, the Taguchi models show higher predictive accuracy.

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Section: Related Workmentioning

confidence: 99%

Performance Assessment and Modeling of Routing Protocol in Vehicular Ad Hoc Networks Using Statistical Design of Experiments Methodology: A Comprehensive Study

Ajjaj

Houssaini

Hain

et al. 2022

ASI

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“…For instance, one real-world example is the spoofing of tire-pressure data from tire pressure sensors [97], [98], enabled by the lack of cryptographic mechanisms in communication protocols in-vehicle controller area networks (CANs). To disrupt emergency management, such as DAS, adversaries could inject false data in place of measurement data from in-vehicle sensors, such as the safe distance monitoring of adjacent vehicles, resulting in drivers making incorrect or unsafe decisions based on the false data [125]- [129]. To launch a large-scale attack, aggressive adversaries could inject false safe distance monitoring data to a number of vehicles simultaneously to cause the maximum number of accidents, which would be especially damaging during emergency scenarios.…”

Section: ) Attacks On Managementmentioning

confidence: 99%

Secure Internet of Things (IoT)-Based Smart-World Critical Infrastructures: Survey, Case Study and Research Opportunities

et al. 2019

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The widespread adoption of the Internet of Things (IoT) technologies has drastically increased the breadth and depth of attack surfaces in networked systems, providing new mechanisms for the intrusion. In the context of smart-world critical infrastructures and cyber-physical systems, the rapid adoption of the IoT systems and infrastructures without thorough consideration for the risks and vulnerabilities has the potential for catastrophic damage to the privacy, safety, and security of individuals and corporations. While the IoT systems have the potential to increase productivity, accountability, traceability, and efficiency, their potential weaknesses are also more abundant. In this paper, we provide critical consideration of the security of the IoT systems as applied to smart-world critical infrastructures. Particularly, we carry out a detailed assessment of vulnerabilities in IoT-based critical infrastructures from the perspectives of applications, networking, operating systems, software, firmware, and hardware. In addition, we highlight the three key critical infrastructure IoT-based cyber-physical systems, namely the smart transportation, smart manufacturing, and smart grid. Moreover, we provide a broad collection of attack examples upon each of the key applications. Furthermore, we introduce a case study, in which we assess the impacts of potential attacks on critical IoT-based systems, using the smart transportation system as an example. Finally, we provide a set of best practices and address the necessary steps to enact countermeasures for any generic IoT-based critical infrastructure system. INDEX TERMS Cyber-physical systems, Internet of Things, security, critical infrastructure, case study, computing infrastructure. I. INTRODUCTION Advances in information communication technologies have given rise to the Internet of Things (IoT), which will play an increasingly important role in our daily lives [1]-[3]. In IoT, the massive number of deployed IoT devices (sensors, actuators, etc.) will be connected to collect data related to objects in critical infrastructures, including city and government, industrial manufacturing, energy, transportation, healthcare, and public safety infrastructures, among others, supporting numerous smart-world systems. The examples of such systems are smart manufacturing, smart cities, smart grid, smart transportation, smart home, and smart health systems, to name a few [4]-[11]. The associate editor coordinating the review of this manuscript and approving it for publication was Jinsong Wu.

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“…and maximazing the end to end delay [6]. In this harmful attack, the malicious node behaves genuinely at the discovery phase to ensure its presence among the selected nodes to form the path that the packet will be transmitted on, afterwards, when a data packet passes through this node, it exibits its malicious intent and drops it.…”

Section: Research Articlementioning

confidence: 99%

Performance Analysis of RACODSR Protocol in Smart Grayhole Attacks on VANets

Ourouss¹,

Naja²,

Jamali³

2018

ICST Transactions on Mobile Communications and Applications

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As a subclass of Mobile Adhoc Networks (MANets), Vehicular Ad Hoc Network (VANET) is a set of interconnecting vehicles that aim to provide a wide spectrum of encouraging road services, such as safety and traffic management. This key component of Intelligent Transportation Systems (ITS), is impacted by the vehicle's mobility and suffers from frequent link disruptions caused voluntarily or intentionally by malicious attackers, which make the security issue more challenging and even life-threatening when critical attacks occurred. This work focuses on analyzing the smart grayhole attacks within VANets environments and evaluating the Reputation-based Ant Colony Optimization Dynamic Source Routing (RACODSR) and Dynamic Source Routing (DSR) protocols performances under two different scenarios. For this purpose, VANets mobility models with and without collisions are generated using OpenStreetMap and Simulation of Urban Mobility (SUMO) tools and simulated in Network Simulator NS2 to assess the effectiveness of the compared protocols using the Drop rate, Packet Delivery Ratio, Throughput, Jitter, End-to-End delay, and consumed energy metrics.

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Performance and Execution Evaluation of VANETs Routing Protocols in different Scenarios

Cited by 8 publications

References 18 publications

Performance Assessment and Modeling of Routing Protocol in Vehicular Ad Hoc Networks Using Statistical Design of Experiments Methodology: A Comprehensive Study

Performance Assessment and Modeling of Routing Protocol in Vehicular Ad Hoc Networks Using Statistical Design of Experiments Methodology: A Comprehensive Study

Secure Internet of Things (IoT)-Based Smart-World Critical Infrastructures: Survey, Case Study and Research Opportunities

Performance Analysis of RACODSR Protocol in Smart Grayhole Attacks on VANets

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