A Dual Optimization Mechanism for Energy Efficiency in Wireless Body Area Networks Based on Naive Bayesian Classifier and Hungarian Algorithm

A dual optimization mechanism is proposed to improve energy efficiency in coexisting wireless body area networks (WBANs). The first optimization uses a naive Bayesian classifier to establish a minimization interference model of the current WBAN to improve energy efficiency. The second optimization is achieved by allocating time slots based on the Hungarian algorithm to improve energy efficiency further. The simulation results show that the scheme can maximize the overall energy efficiency of the WBAN significantly while ensuring the Quality of Service (QoS).