Abstract
Wireless Body Area Networks (WBANs) consists of various sensors which are attached on or even implanted in the body to improve health care and the quality of life. Soft computing techniques including fuzzy logic have been successfully applied to WBANs. However, most of the existing research works considered only single-level fuzzy logic controls (FLCs). In this paper, we propose a two-level control scheme at both the sensor level and the coordinator level to improve both the reliability and performance of Medium Access Controls (MAC) in WBANs. We also propose to use Cooperative PSO (CPSO) to automate the design of our two-level control scheme. With the goal of improving network reliability while keeping the communication delay at a low level, we have particularly experimented on four different collaborator selection methods for CPSO. Specifically, we show that network knowledge can help CPSO to select collaborators more effectively. Moreover, the FLCs designed by our approach is also shown to outperform some recently developed algorithms and the IEEE 802.15.4 standard.
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Acknowledgments
The author(s) wish to acknowledge the contribution of NeSI high-performance computing facilities to the results of this research. NZ’s national facilities are provided by the NZ eScience Infrastructure and funded jointly by NeSI’s collaborator institutions and through the Ministry of Business, Innovation & Employment’s Research Infrastructure programme. URL https://www.nesi.org.nz.
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Nekooei, S.M., Chen, G., Rayudu, R. (2017). Cooperative Design of Two Level Fuzzy Logic Controllers for Medium Access Control in Wireless Body Area Networks. In: Shi, Y., et al. Simulated Evolution and Learning. SEAL 2017. Lecture Notes in Computer Science(), vol 10593. Springer, Cham. https://doi.org/10.1007/978-3-319-68759-9_71
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DOI: https://doi.org/10.1007/978-3-319-68759-9_71
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