A Hybrid Protocol for Energy Management in Wireless Body Area Networks

In recent years, Wireless Body Area Networks (WBANs) are attracting a lot of interest in the research community. Increased lifetime and treatment costs have affected cost-effective health management solutions. A location-based routing protocol is becoming significant for WBANs especially because of energy consumption and lifetime. Therefore, location-based routing requires the correct location information, which reduce energy consumption. We propose a hybrid routing algorithm based on genetic algorithm and fuzzy logic in the WBANs. The main proposed algorithm is reduced energy. Results of the simulation depicted that the fuzzy logic algorithm has a significant impact on reducing the error rate. In the next phase, when the genetic algorithm is combined with fuzzy logic, the results show that the network lifetime is increased. In other words, the proposed protocol using fuzzy logic and genetic algorithm for improved performance in error rate and management of energy and network lifetime.