Modeling and Simulation of Adaptive Available Bit Rate Voice over Asynchronous Transfer Mode Networks

This article presents a modeling and simulation methodology to analyze the performance of voice quality when sent over the available bit rate service in asynchronous transfer mode networks. Sources can modify the rate at which they send traffic to the network based on the feedback carried in the resource management cells. This is achieved by changing the encoding level. As the contention increases to network resources—bandwidth in this case—sources start reducing the rate at which they generate and send traffic. The efficiency of the scheme under different scheduling/drop policies and other operating conditions and environments is evaluated using simulation modeling. Furthermore, sensitivity analysis is applied to different parameters, such as queue size and averaging interval length, to investigate their impact on the performance metrics. Results show that limiting the load to 41% of the link capacity results in an acceptable quality.

[1]  Bruce M. Kendall,et al.  Passive Microwave Measurements of Temperature And Salinity in Coastal Zones , 1982, IEEE Transactions on Geoscience and Remote Sensing.

[2]  Mohammad S. Obaidat,et al.  A Simulation Methodology to Study Input Buffering in ATM Switches , 1999, Simul..

[3]  M. R. Karim ATM Technology and Services Delivery , 2000 .

[4]  V. Sirounian,et al.  Effect of temperature, angle of observation, salinity, and thin ice on the microwave emission of water , 1968 .

[5]  Paul T. Brady,et al.  A model for generating on-off speech patterns in two-way conversation , 1969 .

[6]  Gary S. E. Lagerloef,et al.  Sea Surface Salinity: The Next Remote Sensing Challenge , 1995 .

[7]  Claudio Casetti,et al.  A simulation study of adaptive voice communications on IP networks , 2001, Comput. Commun..

[8]  Daniel Minoli,et al.  Delivering Voice over IP Networks , 1998 .

[9]  Raj Jain,et al.  Source behavior for ATM ABR traffic management: an explanation , 1996, IEEE Commun. Mag..

[10]  J. Hach,et al.  A Very Sensitive Airborne Microwave Radiometer Using Two Reference Temperatures , 1968 .

[11]  A. W. Love,et al.  An S-Band Radiometer Design with High Absolute Precision , 1974 .

[12]  D. E. Evans,et al.  An airborne measurement of the salinity variations of the Mississippi River outflow , 1970 .

[13]  Shuang Deng Traffic characteristics of packet voice , 1995, Proceedings IEEE International Conference on Communications ICC '95.

[14]  R. Dicke The measurement of thermal radiation at microwave frequencies. , 1946, The Review of scientific instruments.

[15]  Craig Partridge Isochronous applications do not require jitter-controlled networks , 1991, RFC.

[16]  Mohammad S. Obaidat,et al.  Integrated dynamic distributed routing and admission control in ATM networks , 1997 .

[17]  Craig Partridge Title : Performance of VBR Voice over ATM : Effect of Scheduling and Drop Policies , 1997 .

[18]  Mohammad S. Obaidat,et al.  Integrated dynamic distributed routing and admission control in ATM networks , 1997, Int. J. Commun. Syst..

[19]  J. Paris Microwave radiometry and its applications to marine meteorology and oceanography , 1969 .

[20]  Robert M. Lerner,et al.  Analysis of 1.4 GHz Radiometric measurements from Skylab , 1977 .

[21]  T. V. Lakshman,et al.  Transporting compressed video over ATM networks with explicit rate feedback control , 1997, Proceedings of INFOCOM '97.

[22]  M. A. Goodberlet,et al.  Microwave Remote Sensing of Coastal Zone Salinity , 1997 .

[23]  D. Vine,et al.  Remote Sensing of Ocean Salinity: Results from the Delaware Coastal Current Experiment , 1998 .

[24]  Gary C. Thomann,et al.  Remote measurement of salinity in an estuarine environment , 1971 .

[25]  Mohammad S. Obaidat,et al.  Bandwidth allocation and call admission control in ATM networks , 1998 .

[26]  Raj Jain,et al.  ERICA Switch Algorithm: A Complete Description , 1996 .

[27]  Jerry Miller Remote Sensing of Salinity in the Coastal Zone , 1995 .

[28]  C. Swift,et al.  An improved model for the dielectric constant of sea water at microwave frequencies , 1977, IEEE Journal of Oceanic Engineering.

[29]  Mohammad S. Obaidat,et al.  Bandwidth allocation and call admission control in ATM networks , 1998, Int. J. Commun. Syst..

[30]  Mohammad S. Obaidat,et al.  Real time TCP QoS monitoring in wireless ATM CDMA networks using aggregative large deviation principle , 2001, Conference Proceedings of the 2001 IEEE International Performance, Computing, and Communications Conference (Cat. No.01CH37210).

[31]  T. Jackson,et al.  ESTAR: a synthetic aperture microwave radiometer for remote sensing applications , 1994, Proc. IEEE.

[32]  William Stallings,et al.  High-Speed Networks: TCP/IP and ATM Design Principles , 1998 .