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A novel energy efficient architecture for wireless body area networks

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Abstract

With advent of the Internet of things (IoT), body area networks (BAN) has reached its different new dimension in terms of implementation and smart monitoring applications. Integration of the Internet of things along with the body area network leads to design of pervasive smart and wearable devices. Even though these devices are omnipresence, several design challenges need its solutions for an effective implementation. Energy and performance are the most important challenge which still remains on the darker side of the research. Hence, we proposed energy efficient architecture for IoT-enabled body area networks. The proposed architecture has been designed and developed with the integration of fog nodes along with the extreme learning machine for achieving the low power network and high performance. The proposed BAN architecture has been tested with the different transceivers such as WIFI and ZigBee interfaced with the versions of embedded architectures. Also, the proposed architecture has been compared with existing algorithm such as DARE and M-ATTEMPT in which the energy consumption is reduced to 40% and high performance has been obtained.

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Authors and Affiliations

  1. Department of ECE, SRM Institute of Science and Technology, Ramapuram, Chennai, India

    S. Kalpana

  2. Department of ECE, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Chennai, India

    C. Annadurai

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  1. S. Kalpana
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  2. C. Annadurai
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Correspondence to S. Kalpana or C. Annadurai.

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Kalpana, S., Annadurai, C. A novel energy efficient architecture for wireless body area networks. Pers Ubiquit Comput 27, 1441–1452 (2023). https://doi.org/10.1007/s00779-021-01652-y

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  • DOI: https://doi.org/10.1007/s00779-021-01652-y

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