Single queue priority scheduler for video transmission in IEEE 802.11 networks

Mobile video transmission poses many challenges in standard wireless network like Wireless Local Area Network or IEEE 802.11. The challenges range from handover, delay, packet loss, jitter, fading and signal loss. Some studies have suggested an increase in network resources as a way to cater for the huge demands and reduce congestion in the network, while others suggest that optimizing the available resources might also reduce these challenges. In line with the optimization approach, this study proffers a solution to the video loss in IEEE 802.11 networks. It uses the Single-Queue Priority Scheduler to rearrange the video frames based on their importance. An MPEG frame (trace file) was rearranged by assigning weights to the video frames I, B and P. These frames were then prioritized and arranged in a single queue. A parameter to actively arrange the queue ( ) was deduced from three metrics- deadline, priority and cost. This value Sn was used to arrange the video trace or frames from the lowest to the highest. The arranged video trace or frames were injected into the queue and transmitted in that order. The results show that the implementation of Single-Queue Priority Scheduler algorithm improves the video transmission in Wireless Local Area Network. Without Single-Queue Priority Scheduler algorithm, the buffer overflow loss is 22.8% of the total load, but with SQPS algorithm, it is 8% of the total load. Without SQPS algorithm, the Packet Loss Ratio is about61%; but with the SQPS algorithm, the PLR reduces to 34%. Although, this scheduling algorithm produced better results with a reduction in packet loss, there were still some losses in the network.

Grantor dc:publisher.institution

Department of Electrical Engineering

Year dc:date.issued

2015

Author dc:creator

• Adeleke, Joshua Adejare

Advisor dc:contributor.advisor

• Dlodlo, Mqhele E

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/11427/13560

OAI identifier oai:identifier

oai:open.uct.ac.za:11427/13560