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Optimal Path Planning for a Biomedical Combined WSN System via RSSI and LQI

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Abstract

In practical WSNs, such as biomedical monitoring system applications, the sensor nodes are deployed indoors. The obstacles may exist because of the area setting which may reduce the communicatiuon range of nodes. Those nodes will be isolated from network. In this paper, we present path plannning algorithm for the isolated node with the ability to choose the optimal path for data communication based on fuzzy. In addition, we utilize the RSSI and LQI value in making decision for selecting the optimal path. Our goal is to create high-performance bio-information collection in a biomedical combined WSN system. We focus our contribution on reducing the waiting time for bio-data gathering by diverting the communication path through the empty channel surroundings. Thus, the optimal solution yields the shortest time, not the shortest path. Compared with the traditional algorithm, our algorithm effectively reduces the congestion rate of data transfers, avoids the long waiting times caused by packet loss problems and achieves optimal path planning for objects.

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Acknowledgements

This work was supported by the “Allied Advanced Intelligent Biomedical Research Center, STUST” under Higher Education Sprout Project, Ministry of Education, Taiwan. The Authors would like to thank Tzu-Chieh Lin and Hsiu-Fen Chiang for collecting experimental data used in the case study.

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Authors and Affiliations

  1. Institute of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan

    Gwo-Jia Jong

  2. Department of Electrical Engineering, State University of Malang, Malang, Indonesia

    Aripriharta

  3. Department of Computer Science and Information Engineering, Southern Taiwan University of Science and Technology, Tainan, Taiwan

    Gwo-Jiun Horng

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  1. Gwo-Jia Jong
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  2. Aripriharta
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  3. Gwo-Jiun Horng
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Correspondence to Gwo-Jiun Horng.

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Jong, GJ., Aripriharta & Horng, GJ. Optimal Path Planning for a Biomedical Combined WSN System via RSSI and LQI. Wireless Pers Commun 108, 957–976 (2019). https://doi.org/10.1007/s11277-019-06444-5

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  • DOI: https://doi.org/10.1007/s11277-019-06444-5

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