📄 mica2grid.txt
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%
% "Copyright (c) 2004 The University of Southern California"
% All rights reserved.
%
% Permission to use, copy, modify, and distribute this software and its
% documentation for any purpose, without fee, and without written agreement
% is hereby granted, provided that the above copyright notice, the following
% two paragraphs and the author appear in all copies of this software.
%
% NO REPRESENTATIONS ARE MADE ABOUT THE SUITABILITY OF THE SOFTWARE FOR ANY
% PURPOSE. IT IS PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY.
%
% Neither the software developers, the Autonomous Network Research Group
% (ANRG), or USC, shall be liable for any damages suffered from using this
% software.
%
% Author: Marco Zuniga
% Director: Prof. Bhaskar Krishnamachari
% Autonomous Networks Research Group, University of Southern California
% http://ceng.usc.edu/~anrg/
% Contact: marcozun@usc.edu
%
% Date last modified: 2004/06/23 marcozun
%
% Description: configuration file for link gain model
%
% This example configuration file will produce a network topology for TOSSIM
% that represents a mica2 network deployed in a tight (1m spacing) 15x15 grid.
%
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%
% Channel Parameters
%
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%
% The channel model is based on the Log-Normal Shadowing Path Loss Model.
% It defines the gain at which other nodes receive a signal when a node
% transmits. All values must be positive. Parameters:
% PATH_LOSS_EXPONENT an adimensional constant
% SHADOWING_STANDARD_DEVIATION in dB
% PL_D0 close-in reference pathloss, in dB
% D0 close-in reference distance, in meters
PATH_LOSS_EXPONENT = 3.0;
SHADOWING_STANDARD_DEVIATION = 4.0;
PL_D0 = 55.0;
D0 = 1.0;
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%
% Radio Parameters
%
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%
% The radio parameters provide a mechanism to incorporate node variations.
% These variations introduce link asymmetry. The variations have a static
% and a dynamic component. WHITE_GAUSSIAN_NOISE encodes the dynamic
% variation of a node's noise floor readings at runtime, while the
% covariance matrix encodes the static differences in noise floor and
% output strength across nodes.
%
% Parameters:
% NOISE_FLOOR the baseline noise floor in dBm
% WHITE_GAUSSIAN_NOISE the standard deviation of noise measurements
% S11, S12, S21, S22 the values of the covariance matrix that
% represents hardware variations.
% S11 the per-node variance of the noise floor
% S12 covariance between noise floor and output power
% S21 must be equal to S12
% S22 the per-node variance of output power
NOISE_FLOOR = -105.0;
WHITE_GAUSSIAN_NOISE = 4;
% These values are for MICA2 radios.
S11 = 3.7;
S12 = -3.3;
S21 = -3.3;
S22 = 6.0;
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%
% Topology Parameters
%
%%%%%%%%%%%%%%%%%%%%%%%
%
% Terrain dimensions and node positions are in meters.
% Parameters:
% TOPOLOGY the basic topology to use, whose valid values are:
% 1 for a GRID
% 2 for a UNIFORM distribution
% 3 for a RANDOM distribution
% 4 for positions read from a FILE
% details:
% o GRID: Node placement starts at (0, 0). You must
% specify the GRID_UNIT variable (spacing in meters).
% The number of nodes has to be square of an integer.
% o UNIFORM: Based on the number of nodes, the physical
% terrain is divided into a number of cells. Within
% each cell, a node is placed randomly.
% o RANDOM: Nodes are placed randomly within the physical
% terrain.
% o FILE: Position of nodes is read from TOPOLOGY_FILE
% (user-defined). The format of the file is:
% nodeid Xcoordinate Ycoordinate
% The nodeid values must start with 0.
% TERRAIN_DIMENSIONS_X the width of the terrain area (meters)
% TERRAIN_DIMENSIONS_Y the depth of the terrain area (meters)
%
TOPOLOGY = 1;
GRID_UNIT = 5.0;
NUMBER_OF_NODES = 225;
% topology file provided by user
%TOPOLOGY_FILE = topologyFile.m;
% Physical terrain (meters), not required when user provides topology file
% nor in GRID topologies.
% The density (NUMBER_OF_NODES / area) can not be higher than
% 0.5 nodes / D0^2.
%TERRAIN_DIMENSIONS_X = 50.0;
%TERRAIN_DIMENSIONS_Y = 50.0;
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