Optimising Video Streaming Over Multi-hop Wireless Networks: A Queueing Model Analytical Approach
Video streaming over a multi-hop wireless network becomes important in outdoor surveying, disaster rescuing, battleground exploring and many othersimilar areas. The tension between the quality of service demands for video streaming and the limited resources of a multi-hop wireless network has already been addressed. In this thesis, an analytical approach is proposed to provide a new perspective on improving video transmission quality over a multi-hop wireless network. Inspired by previous research results, node capacity is designed to reflect the working situation of a wireless node based on the analysis of our proposed queuing model. The analytical capacity estimation (ACE) routing metric is proposed for optimising the routing path arrangement because it selects the routing paths with high node capacity by evaluating the node capacity during a path searching process. On top of the ACE routing metric studies, a new admission control mechanism has been developed to provide high standard quality of service for video streaming over a multi-hop wireless network. Our proposed admission control mechanism reduces network congestion while minimising the wastage of wireless network resource. The performance of the ACE routing metric is then further enhanced by being able to cooperate with a mobile ad hoc network. This better performance, compared with other recent developed routing metrics, is achieved by balancing the trade-off between load balancing and path lifetime in a mobile ad hoc network. This thesis explores a new way for optimising video transmission over a multi-hop wireless network. Different types of multi-hop wireless networks can benefit from our study on high quality video streaming service.
Advisor: Deng, Jeremiah; Purvis, Martin; Novostawski, Mariusz
Degree Name: Doctor of Philosophy
Degree Discipline: Information Science
Publisher: University of Otago
Keywords: video streaming; Multi-hop wireless Networks; Queueing Model; IEEE 802.11
Research Type: Thesis