Title :
Modelling Voice Communication in Disaster Area Scenarios
Author :
Aschenbruck, Nils ; Gerharz, Michael ; Frank, Matthias ; Martini, Peter
Author_Institution :
Inst. of Comput. Sci. IV, Bonn Univ.
Abstract :
This paper deals with voice communication models for disaster area scenarios. The goal is to design models that can be used to generate realistic push to talk traffic for single talk groups. The modelling is based on an analysis of empirical measurements during a catastrophe maneuver. The analysis shows that the time series comprise heavy load periods and significant correlations. Based on these characteristics, different Markov and semi-Markov models are considered. Synthetic traffic streams for the different models are generated and evaluated by visual and statistical analysis. Finally, a case study outlines the impact of the different traffic models in network performance simulation
Keywords :
Markov processes; catastrophe theory; statistical analysis; telecommunication networks; telecommunication traffic; voice communication; Markov models; catastrophe maneuver; disaster area scenarios; network performance simulation; semiMarkov models; statistical analysis; synthetic traffic streams; visual analysis; voice communication modeling; Broadcasting; Communication channels; Communication system traffic; Computer science; Safety; Speech analysis; Telecommunication traffic; Telephony; Time series analysis; Traffic control;
Conference_Titel :
Local Computer Networks, Proceedings 2006 31st IEEE Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
1-4244-0418-5
Electronic_ISBN :
0742-1303
DOI :
10.1109/LCN.2006.322102
