Abstract
The Wireless Body Area Networks (WBANs) provide an unprecedented opportunity for ubiquitous real-time health-care and fitness monitoring without impairing the activities of the user. Furthermore, meeting the quality of service (QoS) requirements, i.e., throughput, delay and packet loss rate in WBAN, is a challenge due to the lossy channel, resource-restricted nodes and the transmission of data in the highly dynamic situations. In the proposed work, an optimized hybrid technique of Genetic algorithm (GA) with BAT algorithm (GABAT) is presented to achieve QoS metrics. The hybrid GABAT meticulously adjusts the transmission rates at each sensor node for each posture taking into account both the QoS metric constraint and the dynamic link constraint. The proposed scheme gives higher priority to the emergency packets than the normal packets to support the QoS requirements. The results exhibit that the proposed GABAT attains maximum fitness value in less iterations as compared to GA and BAT optimizations.
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