An object version transcoding for streaming media services in wireless networks

Transcoding has a significant effect on streaming media services in wireless networks. The goal of this paper is to reduce network traffic due to high network bandwidth demand and streaming constraints, and enhance the performance of streaming media services. Therefore, we propose a new OVT (object version transcoding) mechanism based on fuzzy similarity. This work derives a media object relationship to calculate the individual fuzzy similarity of certain versions of a media object. We take into account transcoding constraints such as media object characteristics, cache capacity and the properties of the object versions. Based on the given constraints, the proposed mechanism reduces the startup delay and congestion, and it increases the response rate and cache hit rate. We obtained excellent results in terms of QoS (Quality of service) metrics, average service response ratio, startup latency and cache-hit ratio.