Public safety wireless networks (PSWNs) play a vital role in operations of emergency agencies such as police and fire departments. In this thesis, we describe analysis and modeling of traffic data collected from the Emergency Communications for Southwestern British Columbia (E-Comm) PSWN. We analyze network and agency call traffic and find that lognormal distribution and exponential distribution are adequate for modeling call holding time and call interarrival time, respectively. We also describe a newly developed wide area radio network simulator, named WarnSim. We use WarnSim simulations to validate the proposed traffic model, evaluate the performance of the E-Comm network, and predict network performance in cases of traffic increase. We ...
This paper presents parametric probability density models for call holding times (CHTs) into emergen...
This paper is focused on traffic modeling in Mobile Communication networks. This research is aimed a...
In this paper, we present the challenges in gathering network traffic information from an emergency ...
Reliable communication and interoperability between public safety agencies play vital role for publi...
In this article, the authors describe simulation and performance evaluation of a deployed radio comm...
This paper describes simulation work in modeling a city-wide trunked radio system and evaluating its...
Communications are very important in any situation but in emergency management it is imperative that...
Disaster areas are a typical usage scenario for mobile wireless communication systems (e.g. ad-hoc n...
Disasters occur on a large scale basis affecting people and resources. During those disasters (natur...
An RF measurement system with high time resolution is implemented to determine the statistical chara...
Police, fire, and emergency personnel rely on wireless networks to serve the public. Whether it is d...
The problems facing the public safety wireless communication systems in the US could be significantl...
Abstract—When an emergency happens, public communi-cation networks, including cellular networks, pub...
Due to the critical importance of Public Safety Networks (PSNs), they must have regular on-site perf...
Public Safety (PS) organizations bring value to society by creating a stable and secure environment....
This paper presents parametric probability density models for call holding times (CHTs) into emergen...
This paper is focused on traffic modeling in Mobile Communication networks. This research is aimed a...
In this paper, we present the challenges in gathering network traffic information from an emergency ...
Reliable communication and interoperability between public safety agencies play vital role for publi...
In this article, the authors describe simulation and performance evaluation of a deployed radio comm...
This paper describes simulation work in modeling a city-wide trunked radio system and evaluating its...
Communications are very important in any situation but in emergency management it is imperative that...
Disaster areas are a typical usage scenario for mobile wireless communication systems (e.g. ad-hoc n...
Disasters occur on a large scale basis affecting people and resources. During those disasters (natur...
An RF measurement system with high time resolution is implemented to determine the statistical chara...
Police, fire, and emergency personnel rely on wireless networks to serve the public. Whether it is d...
The problems facing the public safety wireless communication systems in the US could be significantl...
Abstract—When an emergency happens, public communi-cation networks, including cellular networks, pub...
Due to the critical importance of Public Safety Networks (PSNs), they must have regular on-site perf...
Public Safety (PS) organizations bring value to society by creating a stable and secure environment....
This paper presents parametric probability density models for call holding times (CHTs) into emergen...
This paper is focused on traffic modeling in Mobile Communication networks. This research is aimed a...
In this paper, we present the challenges in gathering network traffic information from an emergency ...