| /* -*- Mode:C++; c-file-style:"gnu"; indent-tabs-mode:nil; -*- */ |
| // |
| // Copyright (c) 2006 Georgia Tech Research Corporation |
| // (c) 2013 University of Arizona |
| // (c) 2013 University of California, Los Angeles |
| // |
| // This program is free software; you can redistribute it and/or modify |
| // it under the terms of the GNU General Public License version 2 as |
| // published by the Free Software Foundation; |
| // |
| // 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 |
| // |
| // Author: Rajib Bhattacharjea<raj.b@gatech.edu> |
| // Cheng Yi <yic@email.arizona.edu> |
| // Alexander Afanasyev <alexander.afanasyev@ucla.edu> |
| // |
| |
| // Georgia Tech Network Simulator - Round Trip Time Estimation Class |
| // George F. Riley. Georgia Tech, Spring 2002 |
| |
| #include "ndn-rtt-mean-deviation.h" |
| #include "ns3/simulator.h" |
| #include "ns3/double.h" |
| #include "ns3/integer.h" |
| #include "ns3/uinteger.h" |
| #include "ns3/log.h" |
| |
| NS_LOG_COMPONENT_DEFINE ("ndn.RttMeanDeviation"); |
| |
| namespace ns3 { |
| namespace ndn { |
| |
| //--------------------------------------------------------------------------------- |
| // A modified version of Mean-Deviation Estimator optimized for NDN packet delivery |
| |
| NS_OBJECT_ENSURE_REGISTERED (RttMeanDeviation); |
| |
| TypeId |
| RttMeanDeviation::GetTypeId (void) |
| { |
| static TypeId tid = TypeId ("ns3::ndn::RttMeanDeviation") |
| .SetParent<RttEstimator> () |
| .AddConstructor<RttMeanDeviation> () |
| .AddAttribute ("Gain", |
| "Gain used in estimating the RTT (smoothed RTT), must be 0 < Gain < 1", |
| DoubleValue (0.125), |
| MakeDoubleAccessor (&RttMeanDeviation::m_gain), |
| MakeDoubleChecker<double> ()) |
| .AddAttribute ("Gain2", |
| "Gain2 used in estimating the RTT (variance), must be 0 < Gain2 < 1", |
| DoubleValue (0.25), |
| MakeDoubleAccessor (&RttMeanDeviation::m_gain2), |
| MakeDoubleChecker<double> ()) |
| ; |
| return tid; |
| } |
| |
| RttMeanDeviation::RttMeanDeviation() : |
| m_variance (0) |
| { |
| NS_LOG_FUNCTION (this); |
| } |
| |
| RttMeanDeviation::RttMeanDeviation (const RttMeanDeviation& c) |
| : RttEstimator (c), m_gain (c.m_gain), m_gain2 (c.m_gain2), m_variance (c.m_variance) |
| { |
| NS_LOG_FUNCTION (this); |
| } |
| |
| void RttMeanDeviation::Measurement (Time m) |
| { |
| NS_LOG_FUNCTION (this << m); |
| if (m_nSamples) |
| { // Not first |
| Time err (m - m_currentEstimatedRtt); |
| double gErr = err.ToDouble (Time::S) * m_gain; |
| m_currentEstimatedRtt += Time::FromDouble (gErr, Time::S); |
| Time difference = Abs (err) - m_variance; |
| NS_LOG_DEBUG ("m_variance += " << Time::FromDouble (difference.ToDouble (Time::S) * m_gain2, Time::S)); |
| m_variance += Time::FromDouble (difference.ToDouble (Time::S) * m_gain2, Time::S); |
| } |
| else |
| { // First sample |
| m_currentEstimatedRtt = m; // Set estimate to current |
| //variance = sample / 2; // And variance to current / 2 |
| // m_variance = m; // try this why???? |
| m_variance = Seconds (m.ToDouble (Time::S) / 2); |
| NS_LOG_DEBUG ("(first sample) m_variance += " << m); |
| } |
| m_nSamples++; |
| } |
| |
| Time RttMeanDeviation::RetransmitTimeout () |
| { |
| NS_LOG_FUNCTION (this); |
| |
| double retval = std::min (m_maxRto.ToDouble (Time::S), |
| std::max (m_multiplier*m_minRto.ToDouble (Time::S), |
| m_multiplier*(m_currentEstimatedRtt.ToDouble (Time::S) + 4 * m_variance.ToDouble (Time::S)))); |
| |
| NS_LOG_DEBUG ("RetransmitTimeout: return " << retval); |
| |
| return Seconds (retval); |
| } |
| |
| Ptr<RttEstimator> RttMeanDeviation::Copy () const |
| { |
| NS_LOG_FUNCTION (this); |
| return CopyObject<RttMeanDeviation> (this); |
| } |
| |
| void RttMeanDeviation::Reset () |
| { |
| NS_LOG_FUNCTION (this); |
| // Reset to initial state |
| m_variance = Seconds (0); |
| RttEstimator::Reset (); |
| } |
| |
| void RttMeanDeviation::Gain (double g) |
| { |
| NS_LOG_FUNCTION (this); |
| NS_ASSERT_MSG( (g > 0) && (g < 1), "RttMeanDeviation: Gain must be less than 1 and greater than 0" ); |
| m_gain = g; |
| } |
| |
| Time RttMeanDeviation::AckSeq (SequenceNumber32 ackSeq) |
| { |
| NS_LOG_FUNCTION (this << ackSeq); |
| // An ack has been received, calculate rtt and log this measurement |
| // Note we use a linear search (O(n)) for this since for the common |
| // case the ack'ed packet will be at the head of the list |
| Time m = Seconds (0.0); |
| if (m_history.size () == 0) return (m); // No pending history, just exit |
| |
| for (RttHistory_t::iterator i = m_history.begin (); i != m_history.end (); ++i) |
| { |
| if (ackSeq == i->seq) |
| { // Found it |
| m = Simulator::Now () - i->time;// Elapsed time |
| Measurement (m); // Log the measurement |
| ResetMultiplier (); // Reset multiplier on valid measurement |
| m_history.erase(i); |
| break; |
| } |
| } |
| |
| return m; |
| } |
| |
| } // namespace ndn |
| } // namespace ns3 |
| |