Title :
Determining the topology of a telephone system using internally sensed network tomography
Author :
Treichler, John R. ; Larimore, Michael G. ; Wood, Sally L. ; Rabbat, Michael
Author_Institution :
Appl. Signal Technol. Inc., Sunnyvale, CA, USA
Abstract :
The paper develops methods of characterizing telephone network topology using a small number of internal network sensors. Using methods inspired by medical imaging, telephone call attempts made from many locations around the world provide the measurements. The ability to determine the topology of worldwide telephone networks offers the promise of substantially improving their operating efficiency. This approach can be extended to determine characteristics of data networks as well.
Keywords :
telecommunication network topology; telephone networks; tomography; internal network sensors; internally sensed network tomography; medical imaging methods; worldwide telephone network topology; Bandwidth; Biomedical engineering; Biomedical imaging; Humans; Network topology; Probes; Sensor phenomena and characterization; Telephony; Timing; Tomography;
Conference_Titel :
Digital Signal Processing Workshop, 2004 and the 3rd IEEE Signal Processing Education Workshop. 2004 IEEE 11th
Print_ISBN :
0-7803-8434-2
DOI :
10.1109/DSPWS.2004.1437954