Abstract

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.

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