J. D. Salehi, Z.-L. Zhang, J. Kurso and D. Towsley, “Supporting Stored Video: Reducing Rate Variability and End-to-End Resource Requirements through Optimal Smoothing,” IEEE/ACM Transaction on Networking, Vol. 6, No. 4, 1998, pp. 397-410.

has been cited by the following article:

• TITLE: Medical Quality-of-Service Optimization in Wireless Telemedicine System Using Optimal Smoothing Algorithm

  AUTHORS: Sodhro Ali Hassan, Ye Li

  KEYWORDS: Wireless Telemedicine System; Medical QoS; Optimal Smoothing Algorithm; Mobile Health

  JOURNAL NAME: E-Health Telecommunication Systems and Networks, Vol.2 No.1, March 29, 2013

  ABSTRACT: In this paper we consider the transmission of stored video from a server to a client for medical applications such as, Telemonitoring, to optimize medical quality of service (m-QoS) and to examine how the client buffer space can be used efficiently and effectively towards reducing the rate variability of the compressed variable bit rate (VBR) video. Three basic results are presented. First, we show how to obtain the greatest possible reduction in rate variability when sending stored video to client with a given buffer size. Second, how to reduce high peak data rate of compressed VBR video when a patient is moving/walking very fast in hospital. Third, we evaluate the impact of optimal smoothing algorithm on the network parameters such as, peak-to-mean ratio, standard deviation, delay, jitter, average delay and average jitter to optimize the m-QoS. To resolve these all problems we used optimal smoothing algorithm and show its performance over a set of long MPEG-4 encoded video traces. Simulation results show that m-QoS is optimized by minimizing network metrics.