Fuzzy Logic and Bio-Inspired Firefly Algorithm Based Routing Scheme in Intrabody Nanonetworks

. 2019 Dec 13;19(24):5526. doi: 10.3390/s19245526

Algorithm 1: Selection decision of correlated regions for data reporting using FLBDS
1:	Input:
2:	Set of correlated regions ${C R^{r}} = {c r_{1}, c r_{2}, c r_{3} \dots c r_{n}}$
3:	Action:
4:	For each correlated region $C R$ index i do
5:	$C R_{D}^{i}$ = Density (One-hop neighbors of nanorouter in the correlated region i)
6:	$C R_{E}^{i}$ = Energy (Residual energy in the correlated region i)
7:	$C R_{P C M R}^{i}$ = Previous critical messages received (PCMR in the last data reporting interval in the correlated region i)
8:	End For
9:	Evaluate input parameters $(C R_{D}^{i}, C R_{E}^{i}, C R_{P C M R}^{i})$ using Fuzzy Rules given in Figure 3.
10:	For each $C R_{i}$ do
11:	Calculate $E n r i c h m e n t - v a l u e_{C R}$ (Using the defuzzification process).
12:	Enriched list of $C R$ $(E n r i c h e m e n t ({C R})$ ← $E n r i c h m e n t - v a l u e_{C R}$
13:	End For
14:	Output:
15:	$E n r i c h m e n t - v a l u e_{C R}$ = List of Information and Energy enriched correlated regions