📄 lossybuilder.java
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// $Id: LossyBuilder.java,v 1.1.4.3 2003/08/22 04:33:09 cssharp Exp $/* tab:2 * * * "Copyright (c) 2000 and The Regents of the University * of 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 and the following two paragraphs appear in all copies of * this software. * * IN NO EVENT SHALL THE UNIVERSITY OF CALIFORNIA BE LIABLE TO ANY * PARTY FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL * DAMAGES ARISING OUT OF THE USE OF THIS SOFTWARE AND ITS * DOCUMENTATION, EVEN IF THE UNIVERSITY OF CALIFORNIA HAS BEEN * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * THE UNIVERSITY OF CALIFORNIA SPECIFICALLY DISCLAIMS ANY WARRANTIES, * INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF * MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE SOFTWARE * PROVIDED HEREUNDER IS ON AN "AS IS" BASIS, AND THE UNIVERSITY OF * CALIFORNIA HAS NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, * UPDATES, ENHANCEMENTS, OR MODIFICATIONS." * * Date: October 11 2002 * Desc: Top-level class for graphically building networks for sim. * *//** * @author Phil Levis */package net.tinyos.sim;import java.io.*;import java.util.*;import net.tinyos.sim.lossy.*;public class LossyBuilder { private static void usage() { System.err.println("usage: java net.tinyos.sim.NetworkBuilder [options]"); System.err.println("options:"); System.err.println(" -t grid: Topology (grid only and default)"); System.err.println(" -d <m> <n>: Grid size (m by n) (default: 10 x 10)"); System.err.println(" -s <scale>: Spacing factor (default: 5.0)"); System.err.println(" -o <file>: Output file"); System.err.println(" -i <file>: Input file of positions"); System.err.println(" -p : Generate positions, not losses"); } private static void fail(String message) { System.err.println(message); System.exit(1); } public static void main(String[] args) { String topology = "grid"; int gridMotesX = 10; int gridMotesY = 10; double spacing = 5.0; Writer output = new PrintWriter(System.out); Reader input = null; Vector motes = new Vector(); boolean isJustPositions = false; try { System.err.println("Starting NetworkBuilder."); for (int i = 0; i < args.length; i++) { String arg = args[i]; if (arg.equals("-d")) { i++; String x = args[i]; i++; String y = args[i]; gridMotesX = Integer.parseInt(x); gridMotesY = Integer.parseInt(y); } else if (arg.equals("-s")) { i++; String val = args[i]; spacing = Double.parseDouble(val); } else if (arg.equals("-t")) { i++; topology = args[i]; } else if (arg.equals("-p")) { isJustPositions = true; } else if (arg.equals("-i")) { i++; String file = args[i]; input = new FileReader(new File(file)); } else if (arg.equals("-o")) { i++; String file = args[i]; output = new FileWriter(new File(file)); } else if (arg.equals("-h") || arg.equals("--help")) { usage(); System.exit(0); } else { fail("Unrecognized option: " + arg); } } if (input != null) { net.tinyos.sim.lossy.SpatialReader.read(input, motes); } else if (topology.equals("grid")) { System.out.println("Generating " + gridMotesX + " by " + gridMotesY + " grid."); for (int i = 0; i < gridMotesX; i++) { for (int j = 0; j < gridMotesY; j++) { double x = 10.0 + ((double)i) * spacing; double y = 10.0 + ((double)j) * spacing; int id = (i * gridMotesY) + j; Mote m = new Mote(id, x, y); motes.addElement(m); } } } else if (topology.equals("uniform")) { System.out.println("Generating " + (gridMotesX * gridMotesY) + " motes in a " + spacing + "x" + spacing + " area."); int total = gridMotesX * gridMotesY; for (int i = 0; i < total; i++) { double x = Math.random() * spacing; double y = Math.random() * spacing; Mote m = new Mote(i, x, y); motes.addElement(m); } } else { System.err.println("Unknown topology: " + topology); System.exit(1); } if (isJustPositions) { for (int i = 0; i < motes.size(); i++) { Mote mote = (Mote)motes.elementAt(i); output.write("" + mote.getX() + " " + mote.getY() + "\n"); } } else { PropagationModel model = new EmpiricalModel(); TopologyGenerator.generate(output, motes, 1.0, model); } output.flush(); } catch (Exception e) { e.printStackTrace(); } }}
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