tinyos2.0版本驱动

源代码在线查看: radio.i

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关键词: tinyos 2.0 版本 驱动
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				/*				 * "Copyright (c) 2005 Stanford University. 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.				 * 				 * IN NO EVENT SHALL STANFORD UNIVERSITY 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 STANFORD UNIVERSITY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH				 * DAMAGE.				 * 				 * STANFORD UNIVERSITY 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 STANFORD UNIVERSITY				 * HAS NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES,				 * ENHANCEMENTS, OR MODIFICATIONS."				 */								/**				 * Stanfoard SWIG interface specification for the TOSSIM radio				 * propagation model. This file defines the Radio object that				 * is exported to Python.				 * This particular radio model is gain-based. If you want to change				 * the radio model (and the scripting interface), then you must				 * replace or modify this file and re-run the SWIG interface generation				 * script generate-swig.bash in lib/tossim. Basic TOSSIM includes				 * another model, the binary model, which stores packet loss rates				 * rather than gains.				 *				 * @author Philip Levis				 * @date   Dec 10 2005				 */								%module TOSSIMRadio								%{				#include 				%}								class Radio {				 public:				  Radio();				  ~Radio();								  void add(int src, int dest, double gain);				  double gain(int src, int dest);				  bool connected(int src, int dest);				  void remove(int src, int dest);				  void setNoise(int node, double mean, double range);				  void setSensitivity(double sensitivity);   				};											

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