Intelligent Delivery of Multimedia Content in Mobile Environment

Abstract

Process of delivering multimedia learning objects such as text, video, images, audio, and animation requires real-time streaming of multimedia content from the M-learning systems to the mobile users. With enhancing the integration methods of the mobile devices into the learning systems, we have possibility to allow easy storing, recording and delivering of multimedia contents to the students in real-time. In this paper, we will present an intelligent mobile learning (M-learning) system for delivery of multimedia content depending of the context-aware conditions. This paper considers the significance of high QoS requirements for applications that are essential to achieve higher continuity of real-time multimedia contents. In this research, we have considered the best queuing packet delivery algorithm to provide appropriate multimedia contents to improve required bandwidth for user's communications.

QoE-aware Energy Efficiency Maximization Based Joint User Access Selection and Power Allocation for Heterogeneous Network

“…Therefore, the proposed algorithm should have a fast convergence speed to get the optimal solution. Some optimal algorithms proposed in [41][42][43] cannot solve this mixed integer nonlinear programming problem. We also know that the immune algorithm could solve the optimization problem, however, its convergence speed is slow and it may fall into local optimal trap easily.…”

Multimedia Services in Cloud-Based Vehicular Networks

“…5, the multimedia streaming flow from server to the switch is bottlenecked due to a heavy multimedia load. In [10], the use of different queuing packet delivery algorithms, including First In First Out (FIFO), Priority Queuing (PQ) and Weighted-Fair Queuing (WFQ), were examined on an intelligent mobile learning system (Intelligent M-Learning) where the users can use mobile devices (i.e., smartphones, tablets, etc.) to easily access the multimedia streaming server.…”