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 storin g, recording and delivering of multimedia contents to the students in real-time. In this paper, we will present an intelligent mobile lea rning (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.
Highlights
The existing perspective for mobile learning (M-learning) consists of presenting a lecture or e-books with lot of pages of text and graphics [1], delivered on a very small screen
The blue line represents the results from the First In First Out (FIFO) packet queuing algorithm simulation, the red line represents the results from the Priority Queuing (PQ) packet queuing algorithm simulation and the green line gives the results from Weighted-Fair Queuing (WFQ) packet queuing algorithm simulation
Analyzing the Wireless Local Area Network (WLAN) delay from the M-learning system in the three different scenarios, see Figure 3, we conclude that the FIFO packet queuing algorithm is generating the biggest delay
Summary
The existing perspective for mobile learning (M-learning) consists of presenting a lecture or e-books with lot of pages of text and graphics [1], delivered on a very small screen. In this paper we have researched the use of different queuing packet delivery algorithms that will provide interactive communication and personalized multimedia content for the mobile clients. 3 Simulation Results for Delivery of Multimedia Content in M-Learning Environment
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