Using sparse random linear codes for data transmission in wireless sensor networks

In this paper we consider usage of sparse random linear codes (RLC) for data transmission in wireless sensor networks, which allow efficient data transmission without need for ARQ procedures or complicated coding schemes, characteristic for algebraic codes. RLC codes are asymptotically optimal and automatically adjust to the channel characteristic. We examine bounds on the sparsity of generator matrix and present results obtained via practical implementation of sparse RLC coding on Iris platform using TinyOS environment.