Abstract
Protocols required to find the best path to reach the destination in wireless networks are specific for each application. Superior quality videos are in great demand in the present scenario. In this paper, the main aim is to minimize the distortion of high-end data traffic occurring over wireless networks. The proposed work is a new routing technique named minimum distortion routing (MDR). MDR concentrates to delineate a routing framework for minimizing distortion from source to destination effectively. The proposed work is to minimize the distortion experienced by the user and enhancing the video quality by catering to the application needs. Traditional link-based routing policies like expected transmission (ETX) count produce a large video distortion as they neglect the correlation among the links in a path. This results in complete communication path become congested, leading to high distortion. An analytical framework is an idle solution for minimizing the video distortion. Here, an optimized protocol for routing is built based on the frameworkâs policy. The efficiency of the proposed protocol is verified using the NS2 simulator. The results indicate increased bandwidth utilization and reduced distortion within a short time interval when compared with the existing routing protocols. It also improved the efficiency of the network through increased throughput and decreased data loss when delivering packets from source to destination.
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Future Work
By reducing the distortion for high-end data, traffic in mobile wireless networks is most important in real-time. In the future work, it is possible to implement a protocol for low-end data in homogeneous and heterogeneous wireless sensor networks.
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Navin, K., Murugaanandam, S., Nithiya, S., Sivashankari, S. (2021). High-End Video Data Transmission in Optimized Routing Framework for Wireless Networks. In: Hemanth, D., Vadivu, G., Sangeetha, M., Balas, V. (eds) Artificial Intelligence Techniques for Advanced Computing Applications. Lecture Notes in Networks and Systems, vol 130. Springer, Singapore. https://doi.org/10.1007/978-981-15-5329-5_37
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