Algorithm 2 SWIFTNET algorithm.
1:	Call Task START
2:	Initialize parameters (LFSR seed)
3:	Parameters: Count, comp(vector), CS(vector), SizeofHistorytable
4:	Call Task sense(data)
5:	if (sense(data) ≥ ρ) then
6:	Call adaptive prediction algorithm
7:	else
8:	re-Initialize sample interval
9:	CS(vector) ← sense(data)
10:	Call Task Sleep
11:	if Count ≥ SizeofHistorytable then
12:	for (i in 1 : Sizeofcomp(vector)) do
13:	buffer ← 0
14:	for (j in 1 : SizeofHistorytable) do
15:	buffer ← rand() × CS(vector) [j]
16:	end for
17:	comp(vector)[i] ← buffer;
18:	end for
19:	Call Task Transmit comp(vector)
20:	Call Task Sleep
21:	re-initialize LFSR with seed
22:	Count ← 0
23:	end if
24:	Count++
25:	end if