A new sampling model for measurement using packet identification on IP network is provided in this paper under a principle of PSAMP

a working group of IETF

that a good sampling model should work for all purposes of measurement applications at the same time with a simple way. After researching and analyzing huge amounts of packet headers captured randomly on CERNET backbone

the result shows that 16 bits of identification field in IP packet header is enough for matching bits of sampling mask. Then a mufti-mask sampling measurement model on identification and its corrected model are provided in the paper

and the experiment also reveals that this sampling way can be used not only in traffic measurement but also for network behavior analysis.