Modeling public safety scenarios to evaluate wireless communication systems

When creating a scenario for performance evaluation of communication systems, modeling mobility and traffic is an important task. The results of the evaluation strongly depend on the models used. Typical assumptions of many models are uniform selection of destinations, nodes are allowed to move over the whole simulation area, and nodes are part of the network all the time (are not switched off and do not leave the network). An analysis of disaster area maneuvers provides characteristics influencing network performance in public safety communication networks like heterogeneous area-based movement, obstacles, joining/leaving of nodes, and non-uniformly distributed group communication. These characteristics differ significantly from the typical assumptions. This paper presents new models that realistically represent traffic and movement in disaster area scenarios. The new models show specific characteristics. Furthermore, the results of simulative network performance analysis are affected.

[1]  Cecilia Mascolo,et al.  Mobility Models for Systems Evaluation , 2009, Middleware for Network Eccentric and Mobile Applications.

[2]  Wen Hu,et al.  Design and Deployment of a Remote Robust Sensor Network: Experiences from an Outdoor Water Quality Monitoring Network , 2007 .

[3]  Yu-Chee Tseng,et al.  GRID: A Fully Location-Aware Routing Protocol for Mobile Ad Hoc Networks , 2001, Telecommun. Syst..

[4]  Peter Martini,et al.  How to Assign Traffic Sources to Nodes in Disaster Area Scenarios , 2007, 2007 IEEE International Performance, Computing, and Communications Conference.

[5]  Francisco Barceló Arroyo,et al.  Statistical Modelling of Channel Occupancy in Trunked PAMR Systems , 1997 .

[6]  N.J. Haslett,et al.  Loading considerations for public safety dispatch on trunked radio systems , 1987, 37th IEEE Vehicular Technology Conference.

[7]  Matthias Frank,et al.  Modelling mobility in disaster area scenarios , 2007, MSWiM '07.

[8]  Sung-Ju Lee,et al.  On-Demand Multicast Routing Protocol (ODMRP) for Ad-Hoc Networks , 2002 .

[9]  Francisco Barcelo,et al.  Statistical Modelling of Channel Occupancy in Trunked PAMR Systems , 1997 .

[10]  Bozidar Vujicic Modeling and characterization of traffic in a public safety wireless networks , 2006 .

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

[12]  Chris McDonald,et al.  A Critique of Mobility Models for Wireless Network Simulation , 2007, 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007).

[13]  Paul T. Brandy Model for Generating On‐Off Speech Patterns in Two‐Way Conversation , 1969 .

[14]  G. Hess,et al.  Communication load and delay in mobile trunked systems , 1981, 31st IEEE Vehicular Technology Conference.

[15]  Serge P. Hoogendoorn,et al.  State-of-the-art of vehicular traffic flow modelling , 2001 .

[16]  Tracy Camp,et al.  A survey of mobility models for ad hoc network research , 2002, Wirel. Commun. Mob. Comput..

[17]  Xiaoyan Hong,et al.  A group mobility model for ad hoc wireless networks , 1999, MSWiM '99.

[18]  Yu-Chee Tseng,et al.  The Broadcast Storm Problem in a Mobile Ad Hoc Network , 1999, Wirel. Networks.

[19]  Christian Bonnet,et al.  Mobility models for vehicular ad hoc networks: a survey and taxonomy , 2009, IEEE Communications Surveys & Tutorials.

[20]  F. Barcelo,et al.  Statistical modelling of transmission holding time in PAMR systems , 1997, GLOBECOM 97. IEEE Global Telecommunications Conference. Conference Record.

[21]  Matthias Frank,et al.  Modelling Voice Communication in Disaster Area Scenarios , 2006, Proceedings. 2006 31st IEEE Conference on Local Computer Networks.

[22]  D. J. Rahikka,et al.  Interoperable secure voice communications in tactical systems , 2000 .

[23]  Peter Martini,et al.  Characterisation and Modelling of Voice Traffic in First Responder Networks , 2007, 32nd IEEE Conference on Local Computer Networks (LCN 2007).

[24]  Ljiljana Trajkovic,et al.  Analysis of public safety traffic on trunked land mobile radio systems , 2004, IEEE Journal on Selected Areas in Communications.

[25]  Christian Bettstetter,et al.  Mobility modeling in wireless networks: categorization, smooth movement, and border effects , 2001, MOCO.