  Internet access from space enjoys renaissance as satellites in
Mega-Constellations is no longer fictitious. Network capacity, subject to power
and computational complexity constraints among other challenges, is a major
goal in this type of networks. This work studies Network Coding in the presence
of dynamically changing network conditions. The notion of generalized acyclic
network is introduced and employed for promoting the generation of
linear-multicast network code for what is considered to be a cyclic network.
The performance of several network coding schemes, among these is the known
static network code, is evaluated by a STK simulation for a swarm of
communicating satellites, conceptually based on the Iridium system. Exploiting
the prior knowledge of the networks topology over time, new network coding
approaches are described, whose aim is to better cope with the time-varying,
dynamic behavior of the network. It is demonstrated that in all cases,
pertaining to our example network, static network codes under-perform compared
to the presented approach. In addition, an efficient test for identifying the
most appropriate coding approach is presented.
