In this paper an innovative approach for a streaming technique
fitting the usual constraints of a WCN is discussed. We presented
an innovative idea about in-node compression and inter-frame removal
of redundant information. At the network level, special techniques
for implementing error resilience behaviors are suggested
and tested against relevant metrics related to computational complexity,
bandwidth usage, and perceived reconstruction quality.
Realistic simulations compare JPEG, appointed as state-of-the-art
solution, with our compressor. The results clearly demonstrate that
our techniques outperform JPEG.
We will implement the compressor on embedded devices, already
adopted at the collection layer of a WCN, part of an Intelligent
Transport System testbed. We will therefore validate these
results obtained through simulation with real-world data traces.
The 6LoWPAN compliance of the WCN opens new prospectives of
video streaming techniques tailored for the Internet of Things
where devices and networks are expected to be pervasively disseminated
on the field offering new services to the general public