FOCS '02 Proceedings of the 43rd Symposium on Foundations of Computer Science
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
Growth codes: maximizing sensor network data persistence
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
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Rateless erasure resilient codes, e.g., LT codes, can recover all message symbols perfectly with high probability from a slightly greater number of encoding symbols. However, it has been observed that only a few message symbols can be recovered from a less number of encoding symbols. In this paper, we investigate the performance of rateless codes when the number of received encoding symbols is less than that of the original message symbols. Through ordered generation of encoding symbols according to their degrees, we demonstrate that a significantly improved intermediate performance of rateless codes can be obtained.