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satellite-markov-model.cc
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1/* -*- Mode:C++; c-file-style:"gnu"; indent-tabs-mode:nil; -*- */
2/*
3 * Copyright (c) 2013 Magister Solutions Ltd.
4 *
5 * This program is free software; you can redistribute it and/or modify
6 * it under the terms of the GNU General Public License version 2 as
7 * published by the Free Software Foundation;
8 *
9 * This program is distributed in the hope that it will be useful,
10 * but WITHOUT ANY WARRANTY; without even the implied warranty of
11 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
12 * GNU General Public License for more details.
13 *
14 * You should have received a copy of the GNU General Public License
15 * along with this program; if not, write to the Free Software
16 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
17 *
18 * Author: Frans Laakso <frans.laakso@magister.fi>
19 */
20
22
23#include "ns3/log.h"
24#include "ns3/simulator.h"
25
26#include <cstdlib>
27#include <limits>
28
29namespace ns3
30{
31
32NS_OBJECT_ENSURE_REGISTERED(SatMarkovModel);
33NS_LOG_COMPONENT_DEFINE("SatMarkovModel");
34
35TypeId
37{
38 static TypeId tid =
39 TypeId("ns3::SatMarkovModel").SetParent<Object>().AddConstructor<SatMarkovModel>();
40 return tid;
41}
42
44 : m_probabilities(new double[3 * 3]),
47{
48 NS_LOG_FUNCTION(this);
49
50 NS_FATAL_ERROR("SatMarkovModel::SatMarkovModel - Constructor not in use");
51}
52
53SatMarkovModel::SatMarkovModel(uint32_t numOfStates, uint32_t initialState)
54 : m_probabilities(new double[numOfStates * numOfStates]),
55 m_numOfStates(numOfStates),
56 m_currentState(initialState)
57{
58 NS_LOG_FUNCTION(this << numOfStates);
59
60 NS_LOG_INFO("Creating Markov model for " << numOfStates
61 << " states, initial state: " << m_currentState);
62
63 for (uint32_t i = 0; i < m_numOfStates; ++i)
64 {
65 for (uint32_t j = 0; j < m_numOfStates; ++j)
66 {
67 m_probabilities[i * m_numOfStates + j] = 1;
68 }
69 }
70}
71
73{
74 NS_LOG_FUNCTION(this);
75
76 Reset();
77}
78
79void
81{
82 NS_LOG_FUNCTION(this);
83
84 Reset();
85 Object::DoDispose();
86}
87
88void
90{
91 NS_LOG_FUNCTION(this);
92
93 if (m_probabilities != nullptr)
94 {
95 delete[] m_probabilities;
96 m_probabilities = nullptr;
97 }
98}
99
100uint32_t
102{
103 NS_LOG_FUNCTION(this);
104
105 return m_currentState;
106}
107
108void
109SatMarkovModel::SetState(uint32_t newState)
110{
111 NS_LOG_FUNCTION(this << newState);
112
113 if (newState >= m_numOfStates)
114 {
115 NS_FATAL_ERROR("SatMarkovModel::SetState - Invalid state");
116 }
117
118 m_currentState = newState;
119}
120
121uint32_t
123{
124 NS_LOG_FUNCTION(this);
125
126 NS_LOG_INFO("Doing transition, current state: " << m_currentState);
127
128 double total = 0;
129 for (uint32_t i = 0; i < m_numOfStates; ++i)
130 {
132 }
133
134 if ((fabs(total - 1.0) > std::numeric_limits<double>::epsilon()))
135 {
136 NS_FATAL_ERROR("SatMarkovModel::DoTransition - Probability sum does not match");
137 }
138
139 double r = total * (std::rand() / double(RAND_MAX));
140
141 NS_LOG_INFO("Random value: " << r);
142
143 double acc = 0.0;
144 for (uint32_t i = 0; i < m_numOfStates; ++i)
145 {
147
148 NS_LOG_INFO("State " << i << " accumulated value: " << acc);
149
150 if (r <= acc)
151 {
152 NS_LOG_INFO("Transition done, new state: " << i);
153 m_currentState = i;
154 return i;
155 }
156 }
157 NS_LOG_INFO("Transition done, new state: " << m_numOfStates - 1);
159 return m_numOfStates - 1;
160}
161
162void
163SatMarkovModel::SetProbability(uint32_t from, uint32_t to, double probability)
164{
165 NS_LOG_FUNCTION(this << from << " " << to << " " << probability);
166
167 NS_LOG_INFO("Setting probability, from: " << from << " to: " << to
168 << " probability: " << probability);
169 m_probabilities[from * m_numOfStates + to] = probability;
170}
171
172} // namespace ns3
Class for Markov state machine.
uint32_t m_numOfStates
Number of states.
static TypeId GetTypeId(void)
NS-3 function for type id.
void Reset()
Clear used variables.
void SetProbability(uint32_t from, uint32_t to, double probability)
Function for setting the probability values.
uint32_t GetState() const
Function for returning the current state.
void DoDispose()
Do needed dispose actions.
double * m_probabilities
Markov state change probabilities.
uint32_t m_currentState
Current state.
uint32_t DoTransition()
Function for evaluating the state change.
void SetState(uint32_t newState)
Function for setting the state.
SatArqSequenceNumber is handling the sequence numbers for the ARQ process.