The tests of this PRNG
were done by using NIST STS-1.6.
This intact part includes the least significant bits of the permutation, when processed by the Pseudo Random Number Generator (PRNG
) algorithm, it determines the least significant bits of the allegedly pseudorandom output stream along a long prefix of the stream.
In the second section, the structures and properties of PRNG
and TRNG are briefly explained.
A node has to compute 16-bit PRNG
, 8-bit time stamp, and 8-bit permuting of selective data to secure perturbing function.
parameters are [x.sup.1.sub.0] = 0.68775492511773, [x.sup.2.sub.0] = -0.0134623354671, [r.sub.1] = 5.938725025421, and [r.sub.2] = 1.257490188615.
In the field of chaos-based communication and for practical considerations, a design guide of a computationally efficient PRNG
using chaotic systems with finite precision is needed.
An RN16 drawn from a tag's PRNG
10 ms after the end of tag power-up rise time, shall not be predictable with a probability greater than 0.025%.
is an algorithm for creating a sequence of numbers whose properties almost equal to the properties of sequences of random numbers.
A set of 500 random vectors are generated by a PRNG
named Blum-Blum Shub (BBS).