Street-centric routing scheme using ant colony optimization-based clustering for bus-based vehicular ad-hoc network

Khan, Zahid; Fang, Sangsha; Koubâa, Anis; Fan, Pingzhi; Abbas, Fakhar; Farman, Haleem

doi:10.1016/j.compeleceng.2020.106736

Cited by 21 publications

(11 citation statements)

References 13 publications

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“…To calculate the performance of the network, we assess the parameters, which, concentrated in this research, are energy efficiency, energy consumption, network lifetime, packet delivery ratio, packet loss, network latency, network throughput, and routing overhead. For the process of performance comparison, our proposed P2O-ACH is compared with earlier works, such as GWO-CH [36], ACO-SCRS [37], and QMM-VANET [38]. The software used for the simulation experimentation is NS2.35 with frond-end OTCL and back-end C language on Ubuntu 16.04.…”

Section: Results and Analysismentioning

confidence: 99%

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Privacy-Preserving Mobility Model and Optimization-Based Advanced Cluster Head Selection (P2O-ACH) for Vehicular Ad Hoc Networks

Abdulsattar¹,

Mohammed²,

Alkhayyat

et al. 2022

Electronics

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In vehicular ad hoc networks (VANETs), due to the fast-moving mobile nodes, the topology changes frequently. This dynamically changing topology produces congestion and instability. To overcome this issue, privacy-preserving optimization-based cluster head selection (P2O-ACH) is proposed. One of the major drawbacks analyzed in the earlier cluster-based VANETs is that it creates a maximum number of clusters for communication that leads to an increase in energy consumption which reflects in a degradation of the performance. In this paper, enhanced rider optimization algorithm (ROA)-based CH selection is performed and that optimally selects the CH so that effective clusters are created. By analyzing this, the behavior of the bypass rider’s CH is chosen, and this forms the optimized clusters, and during the process of transmission, privacy-preserving mobility patterns are used to secure the network from all kinds of malfunctions which are performed by the new vehicle blending and migration process. The proposed P2O-ACH is simulated using NS-2, and for performance analysis, two scenarios are taken, which contain a varying number of vehicles and varying speeds. For a varying number of vehicles and speeds, the considered parameters are energy efficiency, energy consumption, network lifetime, packet delivery ratio, packet loss, network latency, network throughput, and routing overhead. From the results, it is understood that the proposed method performed better when compared with earlier work, such as GWO-CH, ACO-SCRS, and QMM-VANET.

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Section: Results and Analysismentioning

confidence: 99%

“…Proposed in [37] is a street-centric routing scheme (SCRS) for the process of optimal path selection in the VANET network. Concepts such as multipath routing and ant colony optimization (ACO)-based clustering play a major role in improving the performance of the network.…”

Section: Optimization-associated Researchmentioning

confidence: 99%

Privacy-Preserving Mobility Model and Optimization-Based Advanced Cluster Head Selection (P2O-ACH) for Vehicular Ad Hoc Networks

Abdulsattar¹,

Mohammed²,

Alkhayyat

et al. 2022

Electronics

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“…For example, a GA based on a clustering coefficient [14] was proposed for detecting communities in social and complex networks. An ant colony optimization-based [15] clustering algorithm was proposed for a bus-based vehicular ad hoc network. Artificial bee colony [16] was also adopted as a clustering algorithm to minimize the execution time and to optimize the clustering according to dataset size.…”

Section: ) Clustering Algorithmsmentioning

confidence: 99%

A Multi-Objective Hyper-Heuristic Clustering Algorithm for Formulas in Traditional Chinese Medicine

Shi,

Zhang,

et al. 2023

IEEE Access

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Syndrome types are important for diagnosis and treatment in traditional Chinese medicine. Syndrome types can be summarized by domain experts as formula clusters. In this paper, we propose seven feature models for the formula clustering problem based on categories, subcategories, functional tendencies and names of Chinese materia medica. A novel multi-objective clustering hyper-heuristic algorithm is obtained. In our proposed algorithm, 12 low-level heuristics are used for clustering solution perturbation by merging clusters, dividing clusters or moving points between clusters based on received solutions from the high-level heuristic. The high-level heuristic evaluates the received solutions from low-level heuristics, updates the solution pool, and selects initial solutions for the next iteration via roulette wheel selection on the Pareto front. Experimental results demonstrate that the proposed algorithm outperforms other clustering algorithms in most datasets. The initial number of clusters has less influence on the final clustering solutions for our proposed algorithm than for other clustering algorithms. For most datasets, the roulette wheel selection mechanism on the Pareto front shows higher convergence rates and accuracy than a random selection mechanism. Accuracy was higher for feature models based on functional tendencies than for the other feature models.

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“…is method is mainly suitable for static data. ere are certain limitations to the dynamic data of user behavior data [14][15][16]; therefore, this paper adopts the ant colony algorithm [17][18][19] to optimize it.…”

Section: Classification Of Behavioral Datamentioning

confidence: 99%

Analysis of Persuasive Design Mechanism Based on Unconscious Calculation

Zheng

2022

Scientific Programming

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In order to make users’ behavior more standardized, a persuasive design mechanism analysis method based on unconscious calculation is proposed. Taking the concept of persuasion and the goal of persuading function as the theoretical basis, the user behavior data is obtained in the form of correlation calculation, and the ant colony algorithm is used to classify the behavior data. According to the results of data processing, analyze unconscious behavior and its characteristics, and obtain the persuasion mechanism through unconscious calculation, persuasion model, and persuasion model design. The experimental results show that the method in this paper has a higher acceptance of behavioral persuasion and higher satisfaction of the persuaded, indicating that the method has strong practical applicability.

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Street-centric routing scheme using ant colony optimization-based clustering for bus-based vehicular ad-hoc network

Cited by 21 publications

References 13 publications

Privacy-Preserving Mobility Model and Optimization-Based Advanced Cluster Head Selection (P2O-ACH) for Vehicular Ad Hoc Networks

Privacy-Preserving Mobility Model and Optimization-Based Advanced Cluster Head Selection (P2O-ACH) for Vehicular Ad Hoc Networks

A Multi-Objective Hyper-Heuristic Clustering Algorithm for Formulas in Traditional Chinese Medicine

Analysis of Persuasive Design Mechanism Based on Unconscious Calculation

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