International Journal of Computer Networks and Applications

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Vehicular Ad Hoc Networks Assisted Clustering Nodular Framework for Optimal Packet Routing and Scaling


Affiliations
1 Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India
 

Wireless communication between moving cars and stationary structures is made possible by Vehicular Ad Hoc Networks (VANETs). The goal is to communicate traffic data so that accidents can be avoided and resources can be used most effectively in current traffic conditions. There are several methods for enhancing VANETs' communicative efficacy; one is clustering in-vehicle networks. One CH assigned to each cluster and is in charge of the cluster as a whole. The CHs are responsible for all communications, both those between clusters and those within a single cluster. Vehicles in this study are organized into groups called clusters and information is relayed from one CH to another. Several different routing algorithms may be used to send data from one vehicle to another to improve the network's performance as a whole. Many reliable and safe routing systems for VANETs have been presented in the past decade. These protocols have several drawbacks, including their complexity, inability to scale to extensive networks, increased transportation costs, etc. Several bio-inspired strategies for optimal packet routing among vehicle nodes have been proposed to overcome these restrictions. Hence, this paper presents the efficient optimization of vehicular ad hoc networks assisted by a clustering nodular [EO-CN] framework to solve the abovementioned issues. The proposed method drastically reduced network overhead in settings with varying densities of nodes. Numerous experiments were conducted with various parameters, including cluster size, network area, node density, and transmission distance. These findings demonstrated that [EO-CN] performed better than competing approaches.

Keywords

Clustering, Efficiency, Optimization, VANET, Nodes, Transportation.
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  • Aadil, F., Khan, S., Bajwa, K. B., Khan, M. F., & Ali, A. (2016). Intelligent clustering in vehicular ad hoc networks. KSII Transactions on Internet and Information Systems (TIIS), 10(8), 3512-3528.

  • Fahad, M., Aadil, F., Khan, S., Shah, P. A., Muhammad, K., Lloret, J., ..&Mehmood, I. (2018). Grey wolf optimization-based clustering algorithm for vehicular ad-hoc networks. Computers & Electrical Engineering, 70, 853-870.

  • Bali, R. S., Kumar, N., & Rodrigues, J. J. (2014). Clustering in vehicular ad hoc networks: taxonomy, challenges and solutions. Vehicular communications, 1(3), 134-152.

  • A. Ali, F. Aadil, M. F. Khan, M. Maqsood and S. Lim, "Harris Hawks Optimization-Based Clustering Algorithm for Vehicular Ad-Hoc Networks," in IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 6, pp. 5822-5841, June 2023, doi: 10.1109/TITS.2023.3257484.

  • Ahmad, M., Ikram, A. A., Wahid, I., Ullah, F., Ahmad, A., &Alam Khan, F. (2020). Optimized clustering in vehicular ad hoc networks based on honey bee and genetic algorithm for internet of things. Peer-to-Peer Networking and Applications, 13, 532-547.

  • Hosmani, S., &Mathapati, B. (2021). Efficient Vehicular Ad Hoc Network routing protocol using weighted clustering technique. International Journal of Information Technology, 13(2), 469-473.

  • Ren, M., Zhang, J., Khoukhi, L., Labiod, H., &Vèque, V. (2017). A unified framework of clustering approach in vehicular ad hoc networks. IEEE Transactions on intelligent transportation systems, 19(5), 1401-1414.

  • Zhang, D., Ge, H., Zhang, T., Cui, Y. Y., Liu, X., & Mao, G. (2018). New multi-hop clustering algorithm for vehicular ad hoc networks. IEEE Transactions on Intelligent Transportation Systems, 20(4), 1517-1530.

  • Senouci, O., Harous, S., &Aliouat, Z. (2020). Survey on vehicular ad hoc networks clustering algorithms: Overview, taxonomy, challenges, and open research issues. International Journal of Communication Systems, 33(11), e4402.

  • Daeinabi, A., Rahbar, A. G. P., &Khademzadeh, A. (2011). VWCA: An efficient clustering algorithm in vehicular ad hoc networks. Journal of Network and Computer Applications, 34(1), 207-222.

  • Mukhtaruzzaman, M., &Atiquzzaman, M. (2020). Clustering in vehicular ad hoc network: Algorithms and challenges. Computers & Electrical Engineering, 88, 106851.

  • Ishtiaq, A., Ahmed, S., Khan, M. F., Aadil, F., Maqsood, M., & Khan, S. (2019). Intelligent clustering using moth flame optimizer for vehicular ad hoc networks. International Journal of Distributed Sensor Networks, 15(1), 1550147718824460.

  • Kheradmand, B., Ghaffari, A., Gharehchopogh, F. S., &Masdari, M. (2022). Cluster-Based Routing Schema Using Harris Hawks Optimization in the Vehicular Ad Hoc Networks. Wireless Communications and Mobile Computing, 2022.

  • Khan, Z., Fang, S., Koubaa, A., Fan, P., Abbas, F., & Farman, H. (2020). Street-centric routing scheme using ant colony optimization-based clustering for bus-based vehicular ad-hoc network. Computers & Electrical Engineering, 86, 106736.

  • Ahmad, M., Hameed, A., Ullah, F., Wahid, I., Khan, A., Uddin, M. I., & El-Sherbeeny, A. M. (2021). Adaptation of Vehicular Ad hoc Network Clustering Protocol for Smart Transportation. Computers, Materials & Continua, 67(2).

  • Xiang Ji, Huiqun Yu, Guisheng Fan, Huaiying Sun, Liqiong Chen, "Efficient and Reliable Cluster-Based Data Transmission for Vehicular Ad Hoc Networks", Mobile Information Systems, vol. 2018, Article ID 9826782, 15 pages, 2018. https://doi.org/10.1155/2018/9826782.

  • Ahsan, W., Khan, M. F., Aadil, F., Maqsood, M., Ashraf, S., Nam, Y., & Rho, S. (2020). Optimized node clustering in VANETs by using meta-heuristic algorithms. Electronics, 9(3), 394.

  • Shah, Y. A., Habib, H. A., Aadil, F., Khan, M. F., Maqsood, M., & Nawaz, T. (2018). CAMONET: Moth-flame optimization (MFO) based clustering algorithm for VANETs. IEEE Access, 6, 48611-48624.

  • Husnain, G. (2021). Bio Inspired Intelligent Routing Scheme for Clustering in Vehicular Ad Hoc Networking (VANETs) (Doctoral dissertation, University of Engineering & Technology Peshawar (Pakistan)).

  • Bitam, S., Mellouk, A., &Zeadally, S. (2014). Bio-inspired routing algorithms survey for vehicular ad hoc networks. IEEE Communications Surveys & Tutorials, 17(2), 843-867.

  • Husnain, G., Anwar, S., &Shahzad, F. (2017, January). Performance evaluation of CLPSO and MOPSO routing algorithms for optimized clustering in Vehicular Ad hoc Networks. In 2017 14th International Bhurban Conference on Applied Sciences and Technology (IBCAST) (pp. 772-778). IEEE.

  • Ahmad, R., Wazirali, R., Abu-Ain, T., & Almohamad, T. A. (2022). Adaptive Trust-Based Framework for Securing and Reducing Cost in Low-Cost 6LoWPAN Wireless Sensor Networks. Applied Sciences, 12(17), 8605

  • Naeem, A., Rizwan, M., Alsubai, S., Almadhor, A., Akhtaruzzaman, M., Islam, S., & Rahman, H. (2023). Enhanced clustering-based routing protocol in vehicular ad‐hoc networks. IET Electrical Systems in Transportation, 13(1), e12069.


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  • Vehicular Ad Hoc Networks Assisted Clustering Nodular Framework for Optimal Packet Routing and Scaling

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Authors

V. M. Niaz Ahamed
Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India
K. Sivaraman
Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India

Abstract


Wireless communication between moving cars and stationary structures is made possible by Vehicular Ad Hoc Networks (VANETs). The goal is to communicate traffic data so that accidents can be avoided and resources can be used most effectively in current traffic conditions. There are several methods for enhancing VANETs' communicative efficacy; one is clustering in-vehicle networks. One CH assigned to each cluster and is in charge of the cluster as a whole. The CHs are responsible for all communications, both those between clusters and those within a single cluster. Vehicles in this study are organized into groups called clusters and information is relayed from one CH to another. Several different routing algorithms may be used to send data from one vehicle to another to improve the network's performance as a whole. Many reliable and safe routing systems for VANETs have been presented in the past decade. These protocols have several drawbacks, including their complexity, inability to scale to extensive networks, increased transportation costs, etc. Several bio-inspired strategies for optimal packet routing among vehicle nodes have been proposed to overcome these restrictions. Hence, this paper presents the efficient optimization of vehicular ad hoc networks assisted by a clustering nodular [EO-CN] framework to solve the abovementioned issues. The proposed method drastically reduced network overhead in settings with varying densities of nodes. Numerous experiments were conducted with various parameters, including cluster size, network area, node density, and transmission distance. These findings demonstrated that [EO-CN] performed better than competing approaches.

Keywords


Clustering, Efficiency, Optimization, VANET, Nodes, Transportation.

References





DOI: https://doi.org/10.22247/ijcna%2F2024%2F224437