Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Microwave Mobile Communications
Microwave Mobile Communications
Link-level measurements from an 802.11b mesh network
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Architecture and evaluation of an unplanned 802.11b mesh network
Proceedings of the 11th annual international conference on Mobile computing and networking
MANET simulation studies: the incredibles
ACM SIGMOBILE Mobile Computing and Communications Review - Special Issue on Medium Access and Call Admission Control Algorithms for Next Generation Wireless Networks.: The Digital Library version of this issue has a corrected special issue title compared to the one in the print version of the issue.
Measurement-based models of delivery and interference in static wireless networks
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Troubleshooting wireless mesh networks
ACM SIGCOMM Computer Communication Review
WNS2 '06 Proceeding from the 2006 workshop on ns-2: the IP network simulator
Revamping the IEEE 802.11a PHY simulation models
Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems
Measurement-based approaches for accurate simulation of 802.11-based wireless networks
Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems
Measurement Based Physical Layer Modeling for Wireless Network Simulations
MASCOTS '07 Proceedings of the 2007 15th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems
Computer Networks: The International Journal of Computer and Telecommunications Networking
Characterizing indoor wireless channels via ray tracing combined with stochastic modeling
IEEE Transactions on Wireless Communications
Measurement-based frame error model for simulating outdoor Wi-Fi networks
IEEE Transactions on Wireless Communications
Spectrum-aware channel and PHY layer modeling for ns3
Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
Validation of the IEEE 802.11 MAC model in the ns3 simulator using the EXTREME testbed
Proceedings of the 3rd International ICST Conference on Simulation Tools and Techniques
Predictable 802.11 packet delivery from wireless channel measurements
Proceedings of the ACM SIGCOMM 2010 conference
LISA'11 Proceedings of the 25th international conference on Large Installation System Administration
Measurement-based simulation of WiFi interference
Proceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems
| Hi-index | 0.00 |
Compared to testbeds, the efficiency and accuracy of wireless networking simulations are constantly questioned by the network community. It is widely accepted today that the current network simulators are not able to fully represent the real wireless characteristics, especially at the physical (PHY) layer. This affects the trustability of simulation-based performance evaluations. On the other hand, testbed experiments require taking a tedious and time-consuming implementation path. This path could be significantly reduced by using realistic network simulators as a first step to test novel algorithms or protocols. Therefore, we took on the challenge of representing the link characteristics of the indoor testbed of the Berlin Open Wireless Lab (BOWL) project in the ns-3 simulator. Our extensive measurements study of the link characteristics, namely received signal strength (RSS), frame detection ratio (FDR) and frame error ratio (FER), produced several guidelines for modeling our testbed with satisfying accuracy in the simulator. More importantly, the proposed empirical models take into account several crucial properties related to the radio hardware and the environment, which are shown to have a significant impact on the simulation accuracy. We validate our model against testbed results and show that, unlike the existing models in ns-3, our model shows high agreement with the measurement results for any pair of nodes in the testbed.