Title
Modeling of a Public Safety Communication System for Emergency Response
Abstract
This paper describes simulation work in modeling a city-wide trunked radio system and evaluating its performance under stress. Specifically, traffic models are developed to simulate both routine background traffic and the traffic load associated with an emergency scenario of a high-rise apartment fire. An analysis of a one-month radio data log provided insights on the traffic distribution among different talk-groups, as well as building individual traffic loading profiles for the talk-groups directly involved in the emergency response. The performance of the radio system is evaluated under different traffic loading intensity levels. Initial simulation results show that this emergency response communication system provides adequate capacity even under intense traffic loading. However, one area of concern is the build-up of waiting calls within some heavily loaded talk-group, which results in long waiting time to access the channel.
Year
DOI
Venue
2009
10.1109/ICC.2009.5199192
ICC
Keywords
Field
DocType
traffic load,national security,routine background traffic,one-month radio data log,traffic model,data loggers,traffic distribution,emergency response,intense traffic loading,different traffic loading intensity,performance evaluation,telecommunication traffic,safety,city-wide trunked radio system,radiocommunication,emergency response communication system,individual traffic loading profile,public safety communication system,communication system,stress,system testing,computer simulation,computational modeling
Data logger,Radio system,Traffic load,Computer science,Simulation,Trunked radio system,Load modeling,Response (communication),Computer network,Communication channel,Communications system,Real-time computing
Conference
ISSN
ISBN
Citations 
1938-1883 E-ISBN : 978-1-4244-3435-0
978-1-4244-3435-0
4
PageRank 
References 
Authors
0.68
3
5
Name
Order
Citations
PageRank
Chao Chen12032185.26
Carlos Pomalaza-Ráez2322.83
Mike Colone340.68
Robert Martin440.68
Jim Isaacs581.26