GENETICALLY OPTIMIZED PRECODED ALAMOUTI SCHEME FOR WIRELESS BODY AREA NETWORKS

The WBANs find their use in wide variety of fields starting from medical to sports to military. However the main concern for WBANs is their energy efficiency that in turn illustrates the network longevity. This paper is focused towards a cooperative diversity-based wireless body area network (WBAN) by using Alamouti's spacetime block code (STBC) with rotational precoding scheme along with Max-Min and Harmonic Mean relay selection procedure. Additionally, the Genetic Algorithm (GA) is also used for the optimization of PrecodedAlamouti scheme which shows satisfactory results. The proposed WBAN model is served for healthcare service in order to mitigate the undesired effects of WBAN due to high path loss and fading as well as to keep a low transmit power while meeting to the desired WBAN quality of services. Bit Error Rate (BER) performance is compared for proposed approaches having BPSK and QPSK modulation techniques.