Dissimilarity Metric Based on Local Neighboring Information and Genetic Programming for Data Dissemination in Vehicular Ad Hoc Networks (VANETs)

Reina, Daniel Gutiérrez; Sharma, Vishal; You, Ilsun; Toral, S. L.

doi:10.3390/s18072320

Cited by 16 publications

(10 citation statements)

References 31 publications

(89 reference statements)

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“…If a vehicle V i is lying within the transmission range (T R ) of another vehicle V j , i.e., (distance between V i and V j ≤ T R ), then they are presumed to be connected by a unidirectional link l i E. Whenever V i transmits a packet, it is directly received by V j via an edge l i . An edge E = ( V i , V j ) exists between two vehicles if the Euclidean distance [50] between them is less than or equal to their T R , as given in Equation ( 3).…”

Section: Connectivity Phasementioning

confidence: 99%

An Efficient Dynamic Solution for the Detection and Prevention of Black Hole Attack in VANETs

Malik

Khan

Faisal

et al. 2022

Sensors

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Rapid and tremendous advances in wireless technology, miniaturization, and Internet of things (IoT) technology have brought significant development to vehicular ad hoc networks (VANETs). VANETs and IoT together play a vital role in the current intelligent transport system (ITS). However, a VANET is highly vulnerable to various security attacks due to its highly dynamic, decentralized, open-access medium, and protocol-design-related concerns. Regarding security concerns, a black hole attack (BHA) is one such threat in which the control or data packets are dropped by the malicious vehicle, converting a safe path/link into a compromised one. Dropping data packets has a severe impact on a VANET’s performance and security and may cause road fatalities, accidents, and traffic jams. In this study, a novel solution called detection and prevention of a BHA (DPBHA) is proposed to secure and improve the overall security and performance of the VANETs by detecting BHA at an early stage of the route discovery process. The proposed solution is based on calculating a dynamic threshold value and generating a forged route request (RREQ) packet. The solution is implemented and evaluated in the NS-2 simulator and its performance and efficacy are compared with the benchmark schemes. The results showed that the proposed DPBHA outperformed the benchmark schemes in terms of increasing the packet delivery ratio (PDR) by 3.0%, increasing throughput by 6.15%, reducing the routing overhead by 3.69%, decreasing the end-to-end delay by 6.13%, and achieving a maximum detection rate of 94.66%.

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Section: Connectivity Phasementioning

confidence: 99%

An Efficient Dynamic Solution for the Detection and Prevention of Black Hole Attack in VANETs

Malik

Khan

Faisal

et al. 2022

Sensors

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show abstract

“…Chaqfeh et al [27] proposed another approach to solve the congestion problem in heavy traffic during data transmission among vehicles, based on the concept of relay node selection but they have still not considered some other parameters which can solve the problem of broadcast storm more efficiently. Further the technique based on probability during flooding was proposed by Gutiérrez-Reina et al [28] for data dissemination in VANET, but the problem of delay in coverage was still persists and overall throughput was not up to the mark as proposed in dense network due to less rate of coverage. Qureshi et al [29] proposed cluster based approach for vehicular data dissemination.…”

Section: Related Workmentioning

confidence: 99%

Multiple Relay Nodes Selection Scheme using Exit Time Variation for Efficient Data Dissemination in VANET

Gupta¹,

Rathi²,

Gupta³

et al. 2021

IJACSA

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Efficient Data dissemination in VANET is still the challenge because of variable speed of vehicles, road conditions, frequent fragmentation etc. In this article a selective forwarding data dissemination scheme using exit time differences in vehicles for highway lanes scenario is proposed that focuses on the solution of broadcast storm, less coverage, transmission delay and reliable data delivery. Our approach is selecting multiple forwarding nodes to increase coverage in less delay. In this article road lanes concept is used to identify the moving node direction. Redundant regions and zones technique in proposed approach is reducing the processing of parameters at significant extents. Simulation of proposed approach is done using NS2 and SUMO. Output of implementation is compared with unidirectional flooding, KB_Selective, and LT_Selective techniques. Result analysis shown that the proposed technique is much efficient and it increases the rate of coverage up to 23%. Also it reduces the delay up to 18% in data delivery ratio. This methodology also improves the performance of system by increasing the throughput and reducing the collision rate in comparison with other methods.

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“…Genetic algorithms (GAs) are meta-heuristic algorithms that have been widely used for solving complex engineering problems [58,59]. GAs are based on the Darwinian theory of biological evolution.…”

Section: Evolutionary Computational Approachmentioning

confidence: 99%

An Evolutionary Computational Approach for the Problem of Unit Commitment and Economic Dispatch in Microgrids under Several Operation Modes

et al. 2019

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In the last decades, new types of generation technologies have emerged and have been gradually integrated into the existing power systems, moving their classical architectures to distributed systems. Despite the positive features associated to this paradigm, new problems arise such as coordination and uncertainty. In this framework, microgrids constitute an effective solution to deal with the coordination and operation of these distributed energy resources. This paper proposes a Genetic Algorithm (GA) to address the combined problem of Unit Commitment (UC) and Economic Dispatch (ED). With this end, a model of a microgrid is introduced together with all the control variables and physical constraints. To optimally operate the microgrid, three operation modes are introduced. The first two attend to optimize economical and environmental factors, while the last operation mode considers the errors induced by the uncertainties in the demand forecasting. Therefore, it achieves a robust design that guarantees the power supply for different confidence levels. Finally, the algorithm was applied to an example scenario to illustrate its performance. The achieved simulation results demonstrate the validity of the proposed approach.

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Dissimilarity Metric Based on Local Neighboring Information and Genetic Programming for Data Dissemination in Vehicular Ad Hoc Networks (VANETs)

Cited by 16 publications

References 31 publications

An Efficient Dynamic Solution for the Detection and Prevention of Black Hole Attack in VANETs

An Efficient Dynamic Solution for the Detection and Prevention of Black Hole Attack in VANETs

Multiple Relay Nodes Selection Scheme using Exit Time Variation for Efficient Data Dissemination in VANET

An Evolutionary Computational Approach for the Problem of Unit Commitment and Economic Dispatch in Microgrids under Several Operation Modes

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