static.java

能在 ns-2 下模拟出一个使用 swarm 算法通讯的网络

/*******************************************************************************
 ** BonnMotion - a mobility scenario generation and analysis tool             **
 ** Copyright (C) 2002, 2003 University of Bonn                               **
 **                                                                           **
 ** This program is free software; you can redistribute it and/or modify      **
 ** it under the terms of the GNU General Public License as published by      **
 ** the Free Software Foundation; either version 2 of the License, or         **
 ** (at your option) any later version.                                       **
 **                                                                           **
 ** This program is distributed in the hope that it will be useful,           **
 ** but WITHOUT ANY WARRANTY; without even the implied warranty of            **
 ** MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the             **
 ** GNU General Public License for more details.                              **
 **                                                                           **
 ** You should have received a copy of the GNU General Public License         **
 ** along with this program; if not, write to the Free Software               **
 ** Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA **
 *******************************************************************************/

package edu.bonn.cs.iv.bonnmotion.models;

import java.io.*;
import java.util.*;

import edu.bonn.cs.iv.bonnmotion.*;

/** Application to construct static scenarios. */

public class Static extends Scenario {
	private static final String MODEL_NAME = "Static";

	protected int densityLevels = 1;
	protected double[] aFieldParams = null;

	public Static(int nodes, double x, double y, double duration, double ignore, long randomSeed, int densityLevels, double[] aFieldParams) {
		super(nodes, x, y, duration, ignore, randomSeed);
		this.densityLevels = densityLevels;
		this.aFieldParams = aFieldParams;
		generate();
	}

	public Static( String[] args ) {
		go(args);
	}
	
	public void go( String[] args ) {
		super.go(args);
		generate();
	}

	public void generate() {
		preGeneration();

		AttractorField aField = null;
		if (aFieldParams != null) {
			aField = new AttractorField(x, y);
			aField.add(aFieldParams);
		}

		double dx = x / (double)densityLevels;
		double dn = (double)node.length / (double)densityLevels;
		int n = 0;
		for (int l = 1; l <= densityLevels; l++) {
			double hx;
			int hn;
			if (l == densityLevels) {
				hx = x;
				hn = node.length;
			} else {
				hx = dx * (double)l;
				hn = (int)(dn * (double)l + 0.5);
			}
			for (int i = n; i < hn; i++) {
				Position pos;
				do {
					if (aField == null)
						pos = new Position(hx * randomNextDouble(), y * randomNextDouble());
					else
						pos = aField.getPos(randomNextDouble(), randomNextDouble(), randomNextGaussian());
				} while ((pos == null) || (pos.x > hx));
				if (! (node[i] = new MobileNode()).add(0.0, pos))
					throw new RuntimeException(MODEL_NAME + ".go: error while adding waypoint");
			}
			n = hn;
		}
		postGeneration();
	}

	protected boolean parseArg(String key, String val) {
		if (key.equals("model") ) {
			if (!val.equals(MODEL_NAME)) {
				System.out.println("wrong model " + val);
				System.exit(-1);
			}
			return true;
		} else return super.parseArg(key, val);
	}

	public void write( String _name ) throws FileNotFoundException, IOException {
		String[] p = (aFieldParams == null) ? new String[2] : new String[3];
		p[0] = "model="+MODEL_NAME;
		p[1] = "densityLevels=" + densityLevels;
		if (aFieldParams != null) {
			p[2] = "aFieldParams=" + aFieldParams[0];
			for (int i = 1; i < aFieldParams.length; i++)
				p[2] += "," + aFieldParams[i];
		}
		super.write(_name, p);
	}

	protected boolean parseArg(char key, String val) {
		switch (key) {
			case 'a':
				aFieldParams = parseDoubleArray(val);
				return true;
			case 'l':
				densityLevels = Integer.parseInt(val);
				return true;
			default:
				return super.parseArg(key, val);
		}
	}
	
	public static void printHelp() {
		Scenario.printHelp();
		System.out.println( MODEL_NAME + ":" );
		System.out.println("\t-a <attractor parameters>");
		System.out.println("\t-l <no. density levels>");
	}
}