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Analysis of Anti Interference of Channel Control Measure in 2.4 GHz-Band Network

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 691))

Abstract

The most recent emerging channel controls for Wi-Fi such as the Bluetooth protocol are designed to operate in the 2.4 GHz ISM band. Since Wi-Fi, Bluetooth and ZigBee are using the same frequency band, they produce mutual interference when they operate at the same time. The simultaneous operation may lead to significant performance degradation. Wireless networks can be developed based on the IEEE 802.15.4 protocol or based on another protocol which is built on IEEE 802.15.4. The ZigBee protocol standard, which is built on top of IEEE 802.15.4, provides additional benefits of a well-developed wireless networking standard. And the ZigBee is designed, built and supported by hundreds of the world’s leading technology companies. In this paper, we introduced the basic concepts of the three systems that we used, based on Shannon theorem and Gaussian channel truth theory, to improve transmission performance of the systems. This improvement allocated the chaotic channel reasonably, base on Orthogonal Frequency Division Multiplexing theorem, to reduce the expenses on the channel. All of modeling and simulation result were obtained by MATLAB, and two examples that are similar with the actual application situation were exhibited respectively in main simulation section below. Finally, this paper proposed a new channel control mechanism which can make the communication performance improved. The effect of performance of the communication is obvious, especially with increasing users. Hence, during limited frequency band, more customs can exist, with higher channel utilization rate.

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Correspondence to Xudong Chen .

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Chen, X., Fan, J., Cheng, K., Chen, M. (2018). Analysis of Anti Interference of Channel Control Measure in 2.4 GHz-Band Network. In: Qiao, F., Patnaik, S., Wang, J. (eds) Recent Developments in Mechatronics and Intelligent Robotics. ICMIR 2017. Advances in Intelligent Systems and Computing, vol 691. Springer, Cham. https://doi.org/10.1007/978-3-319-70990-1_13

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  • DOI: https://doi.org/10.1007/978-3-319-70990-1_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70989-5

  • Online ISBN: 978-3-319-70990-1

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