A high-throughput path metric for multi-hop wireless routing
Proceedings of the 9th annual international conference on Mobile computing and networking
Link-level measurements from an 802.11b mesh network
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Routing in multi-radio, multi-hop wireless mesh networks
Proceedings of the 10th annual international conference on Mobile computing and networking
ExOR: opportunistic multi-hop routing for wireless networks
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
Evaluation of a Stastical Technique to Mitigate Malicious Control Packets in Ad Hoc Networks
WOWMOM '06 Proceedings of the 2006 International Symposium on on World of Wireless, Mobile and Multimedia Networks
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
Estimation of link interference in static multi-hop wireless networks
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
Wireless network simulators relevance compared to a real testbed in outdoor and indoor environments
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Distributed deterministic broadcasting in uniform-power ad hoc wireless networks
FCT'13 Proceedings of the 19th international conference on Fundamentals of Computation Theory
| Hi-index | 0.00 |
Network simulators such as NS-2, Glomosim, and OPNET are extensively used to validate and evaluate the performance of network protocols for mobile ad hoc networks (MANETs). For accurate simulations, realistic signal propagation and noise models should be used to simulate the radio channels in MANETs. A significant amount of emphasis is put on the correctness of signal propagation, while the ambient noise (due to external sources) is modeled as a constant noise. Based on the noise levels measured in a wireless ad hoc network testbed, we present two analytical models to describe the noise levels in a real network: a generalized extreme value (GEV) random process model and a Markov chain model. We incorporate GEV noise model in the Glomosim network simulator and show that it impacts the network performance significantly.