Compressed sensing is a thriving research field covering a class of problems where a large sparse signal is reconstructed from a few random measurements.In the presence of several sensor nodes measuring correlated sparse signals, improvements in terms of recovery quality Multiminerals or the requirement for a fewer number of local measurements can be expected if the nodes cooperate.In this paper, we provide an Cordials overview of the current literature regarding distributed compressed sensing; in particular, we discuss aspects of network topologies, signal models and recovery algorithms.