Road network layout based multi-hop broadcast protocols for Urban Vehicular Ad-hoc Networks

Khamer, Lazhar; Labraoui, Nabila; Guéroui, Abdelhak Mourad; Zaidi, Sofiane; Ari, Ado Adamou Abba

doi:10.1007/s11276-020-02531-9

Cited by 7 publications

(2 citation statements)

References 37 publications

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“…Previously, a hard copy of the atlas was utilized for efficient routing. But, in this route-searching procedure, real-time road conditions were not considered (Khamer et al, 2021). Therefore, a secured routing framework is proposed that takes the advantage of GPS to determine its current location, thereby the shortest route to the specific destination can easily be determined.…”

Section: Introductionmentioning

confidence: 99%

Vid-dsa and Glorot-hs-cnn-based Secure Request Scheduling in Urban Vanet

Velayudhan,

Madanan,

Pradeep

2023

Preprint

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Advancement in technology, which has solved greater traffic problems utilizing Vehicular Adhoc NETwork (VANET), has made vehicles communicate with each other by means of Road Side Units (RSU). But, in urban areas, reducing traffic is quite difficult owing to the random movement of vehicles. Thus, this paper proposes a secured routing framework utilizing Vehicle ID-based Digital Signature Algorithm(VID-DSA) and Glorot-Hyperbolic Sine-CNN (Glorot-HS-CNN) techniques. Primarily, the number of vehicles on the road is initialized and registered in the Trusted Authority (TA). During registration, the certificate is issued utilizing VID-DSA. After that, certificate verification takes place when the new user vehicle sends a request to the RSU. Then, for efficient route generation, attributes are extracted from the verified user utilizing the Vectorized-Street RAndom Waypoint (V-STRAW) traffic model. Afterward, the optimal path is selected for the corresponding user vehicles' requests utilizing the Constriction Factor-Battle Royale Optimization (CF-BRO) algorithm for avoiding data collision along with uneven delay. Now, the optimal path is transferred to the user vehicle. At last, grounded on the optimal path, the RSU schedules the requests centered on the network entry time. Lastly, the proposed technique’s performance is validated by analogizing it with the prevailing approaches. The outcomes displayed that when contrasted with other systems, the proposed technique achieves enhancement in performance.

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Section: Introductionmentioning

confidence: 99%

Vid-dsa and Glorot-hs-cnn-based Secure Request Scheduling in Urban Vanet

Velayudhan,

Madanan,

Pradeep

2023

Preprint

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“…However, as the number of nodes in the network grows, performance dramatically suffers. To have a higher tolerance for node movement, Position-based Schemes are need nodes to be aware of that position 11 . Therefore, the furthest node is always chosen first, to maximize the covered area by each transmission rebroadcast nodes are used.…”

Section: Introductionmentioning

confidence: 99%

A hybrid optimization with ensemble learning to ensure VANET network stability based on performance analysis

Marwah

Jain

2022

Sci Rep

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High vehicle mobility, changing vehicle density and dynamic inter-vehicle spacing are all important issues in the VANET environment. As a result, a better routing protocol improves VANET overall performance by permitting frequent service availability. Therefore, an ensemble-based machine-learning technique is used to forecast VANET mobility. Effective routing based on a hybrid metaheuristic algorithm combined with Ensemble Learning yields significantly improved results. Based on information collected from the Road Side Unit (RSU) or the Base Station, a hybrid metaheuristic (Seagull optimization and Artificial Fish Swarm Optimization) method is used to estimate (BS). The suggested approach incorporates an ensemble machine learning and hybrid metaheuristic method to reduce the latency. The current model's execution is calculated using a variety of Machine Learning techniques, including SVM, Nave Bayes, ANN, and Decision Tree. As a result, the performance of machine learning algorithms may be studied and used to achieve the best results. Comparative analysis between the proposed method (HFSA-VANET) and (CRSM-VANET was done on different performance parameters like throughput, delay, drop, network lifetime, and energy consumption to assess system performance on two factors Speed and Nodes. The HFSA-VANET method shows an overall drop in the delay of 33% and a decrease in the energy consumption of 81% and an increase of 8% in the throughput as compared with the CRSM-VANET method at 80 node. The proposed method that is HFSA-VANET has been implemented in the MATLAB and NS2 environment.

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Information Dissemination Strategies for Safety Applications in VANET: A Review

Vala

Vora

2022

Lecture Notes in Networks and Systems

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Road network layout based multi-hop broadcast protocols for Urban Vehicular Ad-hoc Networks

Cited by 7 publications

References 37 publications

Vid-dsa and Glorot-hs-cnn-based Secure Request Scheduling in Urban Vanet

Vid-dsa and Glorot-hs-cnn-based Secure Request Scheduling in Urban Vanet

A hybrid optimization with ensemble learning to ensure VANET network stability based on performance analysis

Information Dissemination Strategies for Safety Applications in VANET: A Review

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