Abstract
This paper presents a fuzzy logic-based adaptive communication management on a wireless network. A combination of both wireless network and handheld device is most widely used in the world today. The wireless network depends on the radio signal to communicate with the device. And the handheld device is the mobile node, which is difficult to determine the certain location. These unstable features have a negative influence on the communication QoS (quality of service). Therefore, we adopt the fuzzy logic to improve the communication efficiency. The access point (AP) may evaluate the communication state with the fuzzy logic. Through this, the relay station utilizes the evaluation result to handle the communication throughput. The simulation demonstrates the efficiency of our proposed model.
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Kim, T., Han, Y., Kim, J., Lee, J. (2014). Fuzzy Logic-Based Adaptive Communication Management on Wireless Network. In: Hwang, D., Jung, J.J., Nguyen, NT. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2014. Lecture Notes in Computer Science(), vol 8733. Springer, Cham. https://doi.org/10.1007/978-3-319-11289-3_5
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DOI: https://doi.org/10.1007/978-3-319-11289-3_5
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11288-6
Online ISBN: 978-3-319-11289-3
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