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Transmission Scheduling Using Adaptive Neuro-Fuzzy Inference System For Minimizing Interference in Wireless Body Area Networks (WBANs)

Chintapalli, Sahithi

Abstract Details

2015, MS, University of Cincinnati, Engineering and Applied Science: Computer Science.
Wireless Body Area Networks (WBANs) comprise of small sensors implanted on or inside the human body. WBANs are applied in various health care areas, including medical care for the elderly, and athlete health management system. WBANs are helpful in saving patient’s life by monitoring the human body signals and sending collective response to a collector node in case of an emergency. In addition to their advantages, there are several problem areas that need to be addressed before WBANs can be widely used for commercial purposes. Interference is one of the major concerns that impacts availability of data. In this thesis, we propose a transmission scheduling scheme that helps minimize interference. This scheme uses Fuzzy Logic Inference System that considers network link quality parameters to decide if the transmission needs to take place or not. We use MATLAB Fuzzy Logic ToolBox to determine this decision. In order to augment the decision strength, Transference Belief Model is applied to the result of the Fuzzy System, using Adaptive Neuro-Fuzzy Modeling. We include resulting graphs to demonstrate that transmission scheduling using adaptive neuro-fuzzy system is an effective method so as to minimize intra-WBAN interference in WBANs.
Dharma Agrawal, D.Sc. (Committee Chair)
Rui Dai, Ph.D. (Committee Member)
Carla Purdy, Ph.D. (Committee Member)
60 p.

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Citations

  • Chintapalli, S. (2015). Transmission Scheduling Using Adaptive Neuro-Fuzzy Inference System For Minimizing Interference in Wireless Body Area Networks (WBANs) [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1447071467

    APA Style (7th edition)

  • Chintapalli, Sahithi. Transmission Scheduling Using Adaptive Neuro-Fuzzy Inference System For Minimizing Interference in Wireless Body Area Networks (WBANs). 2015. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1447071467.

    MLA Style (8th edition)

  • Chintapalli, Sahithi. "Transmission Scheduling Using Adaptive Neuro-Fuzzy Inference System For Minimizing Interference in Wireless Body Area Networks (WBANs)." Master's thesis, University of Cincinnati, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1447071467

    Chicago Manual of Style (17th edition)