📄 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.%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Channel Parameters%%%%%%%%%%%%%%%%%%%%%%%%% 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;%%%%%%%%%%%%%%%%%%%%%% Radio Parameters %%%%%%%%%%%%%%%%%%%%%%% 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 powerNOISE_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;%%%%%%%%%%%%%%%%%%%%%%%% % 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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