  In this work, we introduce convolutional codes for network-error correction
in the context of coherent network coding. We give a construction of
convolutional codes that correct a given set of error patterns, as long as
consecutive errors are separated by a certain interval. We also give some
bounds on the field size and the number of errors that can get corrected in a
certain interval. Compared to previous network error correction schemes, using
convolutional codes is seen to have advantages in field size and decoding
technique. Some examples are discussed which illustrate the several possible
situations that arise in this context.
