Performance analysis of video transport in two-stage hybrid networks

Abstract

With the current rising trend in wireless based systems, applications such as video on demand, remote monitoring and surveillance are now being used in greater abundance. Coupled with this growth comes the ongoing need for improved network performance. This is due to the resource hungry nature of video data which places stringent requirements on communication networks. This study investigates performance improvement for remote surveillance applications over hybrid 2-stage disordering networks. It specifically focuses on resequencing alternatives for video data. A resequencing and batch aggregation procedure has been proposed in this thesis to improve performance in 2-stage disordering hybrid networks. The main aim is to decrease delay and improve received video quality by forming ordered batches at a specialized gateway called a gateway controller. The trials performed show that with the integration of the gateway controller we can improve performance and ameliorate the video quality for the end user.