EADC: Energy and Adaptive Density-based Clustering Algorithm

The core idea is to use energy-aware probabilistic clustering with dynamic cluster head selection based on residual energy and node density.

Novel Clustering Features : Cluster Head (CH) selection based on: Residual Energy & Node Density (how many neighbors within range)

Dynamic CH probability updated every round

Cluster formation based on closest CH

Energy dissipation based on distance (free-space and multipath models)