Restricted Isometry Property in Quantized Network Coding of Sparse Messages
Efficient data gathering in sensor networks has been the topic of many research projects where different applications have been considered. One of the concerns in data gathering is to take care of inter-node redundancy during the transmission. When the knowledge of inter-node dependency is known at the encoders (i.e., sensor nodes) and the decoder node(s), distributed source coding and optimal packet forwarding is the best transmission method, in terms of achieved information rates. However, flexibility and robustness to network changes, and no need (et the encoders) to the knowledge of inter-node dependency has drawn attention to random linear network coding as an alternative transmission method.