Data dissemination protocol for VANETs to optimize the routing path using hybrid particle swarm optimization with sequential variable neighbourhood search

Gopalan, S. Harihara; Ashok, J.; Manikandan, A.; Ramalingam, S.

doi:10.1007/s11235-023-01040-2

Cited by 17 publications

(2 citation statements)

References 36 publications

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“…In this section, we delve into a comprehensive analysis that underscores the novelty of our work and clarifies the challenges in solving the delay problem for dissemination in VANETs through w-SMNO. Concurrently, we conduct a comparative study of the existing technologies, examining their impacts on transmission performance, including a consideration of the relay from the next hop without cluster formation [45], considering the challenge of a broadcast storm using a cluster-based forwarding mechanism [46], and route optimization for messages to their destination using particle swarm methods [47]. Our findings provide a notable reduction in delays, attributed to a substantial decrease in collisions and an enhanced success rate in message delivery facilitated via the implementation of the spider monkey technique.…”

Section: Discussionmentioning

confidence: 99%

A Novel Spider Monkey Optimization for Reliable Data Dissemination in VANETs Based on Machine Learning

Gupta,

Rathi

2024

Sensors

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The growth in linked and autonomous vehicles has led to the emergence of vehicular ad hoc networks (VANETs) as a means to enhance road safety, traffic efficiency, and passenger comfort. However, VANETs face challenges in facilitating trustworthiness and high-quality services due to communication delays caused by traffic, dynamic topology changes, variable speeds, and other influencing factors. Hence, there is a need for a reliable data dissemination scheme capable of reducing communication delays among hops by identifying effective forwarder nodes. In this paper, we propose a novel, weighted, estimated, spider monkey-based, nature-inspired optimization (w-SMNO) method to generate a set of efficient relays. Additionally, we introduce a dynamic weight assignment and configuration model to enhance system accuracy using a neural network based on backpropagation with gradient descent optimization techniques to minimize errors in the machine learning model. The w-SMNO also incorporates a distinct algorithm for effective relay selection among multiple monkey spider groups. The simulation results demonstrate substantial improvements in w-SMNO, with a 35.7% increase in coverage, a 41.2% reduction in the end-to-end delay, a 36.4% improvement in the message delivery rate, and a 38.4% decrease in the collision rate compared to the state-of-the-art approaches.

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Section: Discussionmentioning

confidence: 99%

A Novel Spider Monkey Optimization for Reliable Data Dissemination in VANETs Based on Machine Learning

Gupta,

Rathi

2024

Sensors

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“…The traditional Henon map employs values of 𝛼 = 1.4 and 𝛽 = 0.3, which distort the outcomes. A change in both values changes the characteristics of the resulting graph, which may no longer be chaotic [28,29]. The Henon map model is frequently used in image encryption as a broadcast technique or as a keystream generator to change pixel values in an image.…”

Section: Henon Mapmentioning

confidence: 99%

An efficient image encryption algorithm using a discrete memory-based logistic map with deep neural network

Kumar,

Revathi

2024

J. Eng. Appl. Sci.

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In the last few years, multimedia technology has made tremendous strides. These days, the Web is frequently used to transfer multimedia content, including audio, video, and photos. However, the Internet is a very vulnerable medium with many security holes. To ensure that multimedia content carried across unprotected channels, like the Internet, is secure and private, several encryption techniques have been proposed. New encryption strategies must be developed because multimedia data streams cannot be encrypted using traditional methods. Therefore, the main goal of the recommended system is to present an analytical research approach for introducing a sophisticated framework wherein the suggested encryption technologies' efficacy is increased through the use of deep neural networks (DNNs). The robustness of the DNN principle is coupled with a discrete memristor-based logistic chaotic map notion for enhanced security performance. In this paper, three distinct encryption algorithms—Arnie cat with an artificial neural network (ANN), Henon map with an ANN, and logistic map with a DNN—are compared for security and performance with the suggested algorithm. Correlation coefficients, information entropy, number of pixels changing rate (NPCR), encryption quality, and encryption duration are the cryptographic analysis parameters examined here. The results show that the recommended implementation enhances security performance without degrading image quality. The proposed algorithm achieves 35.9% of UACI, 99.95% of NPCR, and 7.997231 of entropy.

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V2XCom: Lightweight and secure message dissemination scheme for Internet of vehicles

Bodkhe,

Tanwar

2023

Security and Privacy

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Smart cities provide a sustainable transport ecosystem to connect smart vehicles through sensors and networking units. Internet‐of‐vehicles (IoV) is vital in disseminating various messages, including road safety, exact location sharing, road accidents and blocks, collision warning, driver assistance, network congestion, or toll payment among vehicle‐to‐anything (V2X) units. Due to the mission‐critical nature of the IoV ecosystem, it requires reliable, lightweight, and real‐time communication for vehicle‐to‐vehicle (V2V) and V2X units. However, due to the availability of insecure wireless channels, an adversary can perform several security attacks such as replay, password guessing, masquerade, trace, message tampering, Man‐in‐the‐middle attack (MIMA), and plain‐text attacks in an IoV environment which may lead to potential disruptions. Motivated by the aforementioned facts, we propose a V2XCom, a lightweight and secure message dissemination scheme for the IoV network using low‐cost cryptographic SHA‐256, XoR operation, and concatenation. We performed security verification of V2XCom using the Scyther and AVISPA tools. Moreover, security proofs are provided for an informal security analysis of the proposed scheme. We have done a comparative analysis of a V2XCom with recent dissemination schemes in the IoV ecosystem concerning security features, communication latency, computational cost, and energy usage.

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Data dissemination protocol for VANETs to optimize the routing path using hybrid particle swarm optimization with sequential variable neighbourhood search

Cited by 17 publications

References 36 publications

A Novel Spider Monkey Optimization for Reliable Data Dissemination in VANETs Based on Machine Learning

A Novel Spider Monkey Optimization for Reliable Data Dissemination in VANETs Based on Machine Learning

An efficient image encryption algorithm using a discrete memory-based logistic map with deep neural network

V2XCom: Lightweight and secure message dissemination scheme for Internet of vehicles

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