TCP - IP White Papers
Model-Based Loss Inference by TCP Over Heterogeneous Networks
Overview The Transmission Control Protocol (TCP) has been the protocol of choice for many Internet applications requiring reliable connections. The design of TCP has been challenged by the extension of connections over wireless links. This paper investigates a Bayesian approach to infer at the source host the reason of a packet loss, whether congestion or wireless transmission error. The approach is "mostly" end-to-end since it requires only one long-term average quantity (namely, long-term average packet loss probability over the wireless segment) that may be best obtained with help from the network(e.g. wireless access agent). Specifically, it uses Maximum Likelihood Ratio tests to evaluate TCP as a classifier of the type of packet loss.
| Publisher | Boston University | File Format | |
|---|---|---|---|
| Date Published | March 2004 | ||
| Format | White Papers | ||
| Topics | |||
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