| | Definitions: |
| | RE-Residual Energy/Remaining Energy |
| | IE-Node Primary Energy |
| | Input: |
| | N: Total Nodes in the Network |
| | X_Coordinate: Area of x-axis |
| | Y_Coordinate: Area of y-axis |
| | TC: Total Clusters |
| | C = {C1, C2, C3, C4, … CTC} |
| | R: Number of Rounds. |
| | Output: |
| | CL = {CL1, CL2, CL3, CL4……. CLTC}, the Cluster Leaders in the Cluster |
| | Function: |
| | Residual Energy (Unspent energy) |
| | Position (X_Coordinate, Y_Coordinate) |
| | Communication_Cost (Distance between the nodes) |
| | Fuzzy logic (Residual Energy, Communication_Cost, Position) |
| | Main: |
| (1) | Initially, random selection of cluster leader. |
| (2) | Each node, |
| | if (RE < IE), then, |
| | if (node not reaches the other node withinmaximum hop count of 2), then, |
| | if (node is not located at minimum distance with certain (other) nodes), then, |
| (3) | Fuzzy input variables: Residual_Energy, Communication_Cost and Position. |
| (4) | Determine the Defuzzifier output variable named Cluster Leader for eachdepends on the linguistic variables |
| (5) | Select nodes nithe highest possible Cluster leader cost from all the nodes from previous round (R) elected cluster leader. |
| (6) | Repeat the procedure from step 1 to 4 for all the regions. |
| (7) | Form the clusters, C = {C1, C2, C3, C4…. CTC} by connecting each nodeto the nearer cluster leader on the corresponding regions. |
