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A Channel-Aware Duty Cycle Optimization for Node-to-Node Communications in the Internet of Medical Things

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Abstract

Energy optimization during node-to-node communication in most of the sensor-enabled networks plays the major role to understand the entire mechanism of any system. With their rapid and emerging role has emphasized the researchers and academicians to focus at the wireless channel and its imperative role in the short-range transmission networks. As wireless channel plays the vital role in achieving the efficient and timely communication between transmitter and receiver in internet of medical things (IoMT) environment. Based on the quality of the channel IoMT system is classified as an energy-efficient or not. To remedy this issue, this paper contributes in two ways. First, the novel energy-efficient framework and channel-aware energy-efficient algorithm (CEA) for the IoMT system in medical healthcare domain are proposed. Second, channel quality analysis indicators such as, received signal strength indicator and transmission power levels are adopted. Besides, main open systems interconnections layers, for example, network, MAC and Physical with crucial energy optimization attributes, i.e., route discovery, duty-cycle, and modulation level or data rate during node-to-node communication in IoMT are adopted to see the effect with and without using CEA in the IoMT system. Experimental results reveal that proposed CEA outperforms by saving more energy in comparison to the Baseline technique.

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Acknowledgements

This work was supported in part by International Scientific and Technological Cooperation Project of Dongguan (2016508102011) and in part by Science and Technology Planning Project of Guangdong Province (2016A020210142).

Author Contributions

T. Han, M. Zeng, A.K. Sangaiah stated the research theme; T. Han and L. Zhang proposed the methods and performed experiments. M. Zeng and T. Han read the experimental results and wrote manuscript; and T. Han and A.K. Sangaiah assisted to organize the field activities and research.

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Authors and Affiliations

  1. DGUT-CNAM Institute, Dongguan University of Technology, Dongguan, 523808, Guangdong, People’s Republic of China

    Tao Han, Miaowang Zeng & Lijuan Zhang

  2. School of Computing Science and Engineering, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, 632014, India

    Arun Kumar Sangaiah

Authors
  1. Tao Han
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  2. Miaowang Zeng
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  3. Lijuan Zhang
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  4. Arun Kumar Sangaiah
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Correspondence to Tao Han.

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Han, T., Zeng, M., Zhang, L. et al. A Channel-Aware Duty Cycle Optimization for Node-to-Node Communications in the Internet of Medical Things. Int J Parallel Prog 48, 264–279 (2020). https://doi.org/10.1007/s10766-018-0587-5

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  • DOI: https://doi.org/10.1007/s10766-018-0587-5

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