Energy efficiency based lifetime improvement for wireless body area network

The efficient selection of cluster head nodes for the transmission data to sink node is major requirement wireless body area network. present work deals with and uniform rotation based on four important parameters, i.e. residual energy node, mean value Euclidean distance, priority level sensitivity, device physical capability. proposed energy-efficient Bayesian clustering algorithm uses naïve approach appropriate node. selected collects from sensor in each round. collected first aggregated then transmitted base station. In steady-state phase, follows energy-analysed-TDMA method which further reduces consumption as compared standard LEACH protocol. performance protocol existing MATLAB simulator. scheme increases overall lifetime network by approximately 1.5 times also average