Abstract
Intelligent transport system is one of thriving research domain and in particular multimedia vehicular networks gains more attention. The deployment of multimedia services in vehicle ad-hoc networks (VANETs) provides real time support to users and provides better traffic management with high safety measures. Most of the vehicles has multimedia applications such as weather sensors, real time map applications etc., and it requires adequate resources to process. Resource allocation to a static network is simple and various routing models are evolved. In case of dynamic network like VANETs, routing is still in progress in order to obtain a better model. Routing directly related to quality of services of network and user, it is essential to develop a better dynamic routing strategy for multimedia wireless networks. The proposed work aims to provide an optimized dynamic routing strategy for multimedia networks. For efficient routing, k-means clustering is used to organize the clusters and exchanges the routing information and inverted ant colony optimization is used to obtain the optimal path for multimedia access. Proposed model is experimentally verified and compared to conventional ant colony optimization and grey wolf optimization in terms of parameters such as end to end delay, throughput, target used, average computation time and efficiency.
References
Kannan, K., Devaraju, M. (2019). QoS supported adaptive and multichannel MAC protocol in vehicular ad-hoc network. Cluster Computing. 22:3325–3337.
Jiau, M. K., Huang, S. C., Hwang, J. N., & Vasilakos, A. V. (2015). Multimedia service in cloud-based vehicular networks. IEEE Intelligent Transportation Systems Magazine, 7(3), 62-79.
Changqiao Xu., Quan, W., Vasilakos, A. V., Zhang, H., & Muntean, G. M. (2017). Information-centric cost-efficient optimization for multimedia content delivery in mobile vehicular networks. Computer Communications, 99, 93-106.
Huang, C. J., Wang, Y. W., Chen, H. M., Cheng, A. L., Jian, J. J., Tsai, H. W., & Liao, J. J. (2013). An adaptive multimedia streaming dissemination system for vehicular networks. Applied Soft Computing, 13(12), 4508-4518.
Kharel, J., & Shin, S. Y. (2019). Multimedia service utilizing hierarchical fog computing for vehicular networks. Multimedia Tools and Applications, 78(7), 9405-9428.
Zhou Su, Yilong Hui, Qing Yang (2017). The next generation vehicular networks: A content-centric framework. IEEE Wireless Communications, 24(1), 60-66.
Quan, W., Song, F., Yu, C., & Zhang, M. (2016). ICN based vehicle-to-cloud delivery for multimedia streaming in urban vehicular networks. China Communications, 13(9), 103-112.
Lai, C. F., Chang, Y. C., Chao, H. C., Hossain, M. S., & Ghoneim, A. (2017). A buffer-aware QoS streaming approach for SDN-enabled 5G vehicular networks. IEEE Communications Magazine, 55(8), 68-73.
Yang, Q., Jiang, T., Li, W., Liu, G., Rawat, D. B., & Wu, J. (2019). Multimedia and Social Data Processing in Vehicular Networks. Mobile Networks and Applications, 1-3.
Xia, Y., Chen, W., Liu, X., Zhang, L., Li, X., & Xiang, Y. (2017). Adaptive multimedia data forwarding for privacy preservation in vehicular ad-hoc networks. IEEE Transactions on Intelligent Transportation Systems, 18(10), 2629-2641.
Poongodi, R. K., & Sivakumar, T. (2018). Enhanced Adaptive Multimedia Data Forwarding for Privacy Preservation in Vehicular Ad-Hoc Networks Using Authentication Group Key. Bonfring International Journal of Software Engineering and Soft Computing, 8(1), 26-30.
Noura Aljeri, Azzedine Boukerche (2019). A two-tier machine learning-based handover management scheme for intelligent vehicular networks. Ad Hoc Networks, 94:1-16.
Salim Bitam, Abdelhamid Mellouk (2013). Bee life-based multi constraints multicast routing optimization for vehicular ad hoc networks. Journal of Network and Computer Applications, 36(3):981-991.
Muhammad Fahad, Farhan Aadil, Zahoor-ur- Rehman, Salabat Khan, Irfan Mehmood (2018). Grey wolf optimization based clustering algorithm for vehicular ad-hoc networks. Computers & Electrical Engineering. 70:853-870.
Sadip Midya, Asmita Roy, Koushik Majumder, Santanu Phadikar (2018). Multi-objective optimization technique for resource allocation and task scheduling in vehicular cloud architecture: A hybrid adaptive nature inspired approach. Journal of Network and Computer Applications. 103:58-84.