TCP/IP illustrated (vol. 1): the protocols
TCP/IP illustrated (vol. 1): the protocols
A trace-based approach for modeling wireless channel behavior
WSC '96 Proceedings of the 28th conference on Winter simulation
Optimizing the end-to-end performance of reliable flows over wireless links
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Time Series Analysis: Forecasting and Control
Time Series Analysis: Forecasting and Control
The GSM System for Mobile Communications
The GSM System for Mobile Communications
Random Data: Analysis and Measurement Procedures
Random Data: Analysis and Measurement Procedures
Packet Loss Correlation in the MBone Multicast Networ Experimental Measurements and Markov Chain Models
Choosing an accurate network path model
SIGMETRICS '03 Proceedings of the 2003 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Markov-based modeling of wireless local area networks
MSWIM '03 Proceedings of the 6th ACM international workshop on Modeling analysis and simulation of wireless and mobile systems
Modeling multicast packet losses in wireless LANs
MSWIM '03 Proceedings of the 6th ACM international workshop on Modeling analysis and simulation of wireless and mobile systems
F-RTO: an enhanced recovery algorithm for TCP retransmission timeouts
ACM SIGCOMM Computer Communication Review
Video transmission over a GSM wireless network
ISICT '03 Proceedings of the 1st international symposium on Information and communication technologies
Modeling frame-level errors in GSM wireless channels
Performance Evaluation - Internet performance symposium (IPS 2002)
Link-level measurements from an 802.11b mesh network
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Outdoor experimental comparison of four ad hoc routing algorithms
MSWiM '04 Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
Proceedings of the 11th annual international conference on Mobile computing and networking
CoNEXT '05 Proceedings of the 2005 ACM conference on Emerging network experiment and technology
Linear-complexity models for wireless MAC-to-MAC channels
Wireless Networks
Impact of radio propagation models in vehicular ad hoc networks simulations
Proceedings of the 3rd international workshop on Vehicular ad hoc networks
Integration of physical phenomena into an experiment-based propagation model
Proceedings of the 3rd ACM international workshop on Performance evaluation of wireless ad hoc, sensor and ubiquitous networks
Determining model accuracy of network traces
Journal of Computer and System Sciences - Special issue: Performance modelling and evaluation of computer systems
Optimally balancing energy consumption versus latency in sensor network routing
ACM Transactions on Sensor Networks (TOSN)
M&M: multi-level Markov model for wireless link simulations
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
Cross-Layer Scheduling with QoS Support over a Distributed Queuing MAC for Wireless LANs
Mobile Networks and Applications
Path diversity over packet switched networks: performance analysis and rate allocation
IEEE/ACM Transactions on Networking (TON)
ICN'05 Proceedings of the 4th international conference on Networking - Volume Part I
Full length article: Empirical time and frequency domain models of spectrum use
Physical Communication
Improving wireless link simulation using multilevel markov models
ACM Transactions on Sensor Networks (TOSN)
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Techniques for modeling and simulating channel conditions play an essential role in understanding network protocol and application behavior. In [11], we demonstrated that inaccurate modeling using a traditional analytical model yielded significant errors in error control protocol parameters choices. In this paper, we demonstrate that time-varying effects on wireless channels result in wireless traces which exhibit non-stationary behavior over small window sizes. We then present an algorithm that divides traces into stationary components in order to provide analytical channel models that, relative to traditional approaches, more accurately represent characteristics such as burstiness, statistical distribution of errors, and packet loss processes. Our algorithm also generates artificial traces with the same statistical characteristics as actual collected network traces. For validation, we develop a channel model for the circuit-switched data service in GSM and show that it: (1) more closely approximates GSM channel characteristics than a traditional Gilbert model and (2) generates artificial traces that closely match collected traces' statistics. Using these traces in a simulator environment enables future protocol and application testing under different controlled and repeatable conditions.