Network Coding for Throughput Optimization in Random Access Challenged Networks with Correlated Sources

Abstract

In this paper, we evaluate and analyze network coding across many sessions in random access wireless challenged networks with inherent resource limitations. The proposed work addresses the problem of joint optimal coding, rate control, power control and flow control schemes. For this, we employ cross-layer optimization model for multiple unicast sessions in the network with network coding and bandwidth constraints. This model is used to study throughput and power resource optimization in multi-flow challenged networks with correlated sources. The presented simulation results are obtained using CVX software, used for solving general nonlinear and convex optimization problems. Our results show that the proposed model effectively incorporates throughput and link power optimization while satisfying the flow conservation and limited capacity constraints of the challenged networks.