A fuzzy algorithm for dynamically adaptive multimedia streaming

Abstract

The QoS-aware delivery model of multimedia is an interesting research area. The wireless networking systems connecting mobile clients and media servers have created the paradigm of mobile multimedia. In mobile multimedia systems, the media delivery model has to maintain two diagonally opposite objectives, such as maintaining QoS of playback and saving energy consumption of the mobile devices. The traditional pull, push, and the hybrid push-pull models of media delivery are not completely suitable to offer consistent QoS of playback while saving the energy consumptions at mobile devices. This article proposes a novel multimedia delivery system based on the Fuzzy Adaptive Buffering (FAB) algorithm using pull model. The FAB algorithm employs a fuzzy inference technique and dynamically adapts to the execution environments. The experimental results illustrate that the FAB algorithm successfully adapts to dynamic execution contexts while maintaining playback-QoS and saving the energy consumption of the mobile clients by keeping the data prefetching thread in the sleeping mode from 31.44% to 97.4% of streaming time depending on the execution environments.

A Review of Artificial Intelligence in the Internet of Things

“…In contrast, in the proposal of Bagchi [77], Fuzzy Logic was used to maintain streaming playback quality and achieve improvements in energy consumption. However, there are also proposals for the improvement of vehicle systems, such as the cases of [78]- [80].…”

IoFClime: The fuzzy logic and the Internet of Things to control indoor temperature regarding the outdoor ambient conditions

“…Chamodrakas and Martakos [19] proposed to use the fuzzy set representation method to select a network in order to be connected in an efficient way, with a low energy consumption, with a high Quality of Service (QoS), and with good performance. Bagchi [20] used fuzzy logic to keep the quality of playback of multimedia streaming and to achieve improvements in the energy consumption. Cueva-Fernandez et al [6,21] made two proposals about how to use fuzzy logic in vehicles.…”

Using Viewing Statistics to Control Energy and Traffic Overhead in Mobile Video Streaming

“…Bagchi [26] also presented a solution for streaming over Wi-Fi, one in which a player maintains a fixed playback buffer size and requests data from the server when the buffer status reaches a low buffer threshold. The alternative is that the player plays from the playback buffer and ceases downloading.…”