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Mobility Aware Next Hop Selection Algorithm (MANSA) for Wireless Body Sensor Network

Wireless Body Sensor Network (WBSN) enables the patient to avoid the feeling of being monitored and increases the subject mobility. The data communicated is to be routed through a reliable trusted path to avoid loss of data and unnecessary energy consumption. In case of crowd sensing and collecting the data from various WBSN, choosing the next hop mainly determines the network throughput. The data communication is mainly determined by speed of the next hop. The next hop sensor node varies with age, number of physiological sensors connected and energy level. The proposed algorithm chooses a better next hop with mobility, Load and energy level as input parameters. The algorithm outperforms the benchmark LEACH and ALEACH algorithms in terms of lifetime and throughput. The proposed algorithm also avoids drop packets and provides higher throughput. The proposed algorithm serves to be the better solution for next hop selection.