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Mission Statement
To provide the public safety community with a better understanding of what to expect from new and emerging networking technologies, and accelerate the standardization and utilization of such technologies.
Projects
Publications
C. Gentile and A. Kik,
A Comprehensive Evaluation of Indoor Ranging Using Ultra-Wideband
Technology
C. Gentile, A.J. Braga, and A. Kik,
A Comprehensive Evaluation of Joint Range and Angle Estimation in
Indoor Ultrawideband Location Systems
M. R. Souryal, J. Geissbuehler, L. E. Miller,
and N. Moayeri,
Real-Time Deployment of Multihop Relays for Range Extension
M. T. Refaei, M. Souryal, and N. Moayeri,
Interference Avoidance in Rapidly Deployed Wireless Ad Hoc Incident
Area Networks
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Modeling Mine Mesh Networks
OverviewWorking with the National Institute for Occupational Safety and Health (NIOSH), NIST is developing simulation tools to evaluate the performance of mesh network communication systems proposed for implementation in underground mines. A mesh network is comprised of interconnected nodes with one or more multihop communication paths between any two nodes in the network. The simulation tools under development will be used to analyze the capabilities of mesh networks under normal as well as post-incident conditions which may arise from an explosion, roof collapse, or other emergency situations. ObjectiveTo develop network modeling and simulation tools for underground mine mesh networks that can be used to analyze normal as well as post-incident communications between underground miners and the surface.Mesh network technologiesMesh network technologies under consideration for implementation in underground mines utilize medium frequency (MF) and ultra high frequency (UHF) propagation between nodes in the network.
Applications of interest for digital mesh networks include multicast voice, text messages, and location tracking information. Modeling approachA block diagram of the modeling approach is shown below. Using the specifications of the radio under consideration as well as statistics of the noise and interference in a mine, we have developed a physical-layer (PHY) simulation tool in MATLAB with which we generate bit error rate (BER) and packet error rate (PER) tables off-line. Noise models include those for electromagnetic interference for normal operations when mine machinery is on as well as additive white Gaussian noise for post-incident conditions when mine machinery is off. The BER and PER tables generated off-line by the PHY simulation tool will be used by an OPNET-based tool to model link errors. These tables are indexed by the received signal-to-noise ratio, which is computed using the large-scale channel propagation model. The output of the OPNET simulation tool will be network performance metrics such as end-to-end throughput, delay, and packet loss ratio for a given mesh network configuration and mine map.
Project progress
Related Links
ContactNader MoayeriAdvanced Network Technologies Division (301) 975-3767 moayeri@nist.gov |