Rajeev Sukumaran

On applying stochastic network calculus for Gilbert-Elliot fading channel in underwater wireless communication networks

Abstract The main contribution in this research work is thus to use modern mathematical approaches using stochastic network calculus to model the fading effects in underwater channel. Also, the design methodology adopted was to create these mathematical models using Proto-C in Riverbed Modeler Simulation tool and test them using different scenarios representing an underwater communication environment. This work is the first of its kind in terms of applying stochastic network calculus and deriving the necessary stochastic service guarantees for underwater wireless communication. The value of the findings prove that stochastic network calculus can emerge as an elegant mathematical tool for assessing underwater network performance. The significance of the work is that; this approach of modelling underwater networks provides guidelines for modelling the transmission strategies in any underwater simulation studies. The need and purpose of this work is to help researchers adapt stochastic network calculus to model the physical layer and its parameters, that closely represents the real-time underwater scenario. The importance of accurately modelling the physical layer will improve the efficiency of the performance in the upper layers and the entire underwater end-to-end network. The findings derived from stochastic service guarantees verifies that stochastic performance bounds are very close and results in minimal delay, backlog in the designed underwater network.