A Markovian jump congestion control strategy for mobile ad-hoc networks with differentiated services traffic

Available congestion control schemes such as the transport control protocol (TCP) when applied to wireless mobile networks will result in a large number of packet drop outs, unfair scenarios and low throughputs due to the changing number of neighboring nodes and the unpredictable network load. In this paper, a novel Markovian jump model is presented to model the changes in the number of neighboring nodes and subsequently a Markovian Jump Congestion Control (MJCC) strategy is proposed for mobile ad hoc networks. The MJCC strategy does take into account the associated physical network resource limitations and is shown to be robust to the existing unknown and time-varying network delays. Furthermore, the MJCC controller is developed on the basis of Differentiated Services (Diff-Serv) architecture by utilizing a robust adaptive technique. A Linear Matrix Inequality (LMI) condition is obtained to guarantee the stochastic stability of the closed-loop system. Simulations results and analysis illustrate the effectiveness and capabilities of our proposed MJCC strategy.