Abstract
In order to coexist Bluetooth with Wi-Fi in mutual interference environment, carrier sensing and traffic forecasting model are used to optimize the packet selection mechanism in Bluetooth frequency-hopping process. The probability of collisions of Bluetooth signal and Wi-Fi signal is gained by baseband layer energy sampling and Wi-Fi traffic forecasting model. According to the collision probability, the packet types are selected to achieve maximum throughput of Bluetooth. Simulation and analysis show that the algorithm can effectively coexist Wi-Fi with Bluetooth by mean of time divided channel multiplexing in real world Wi-Fi environment.
This work was supported in part by the National Natural Science Foundation of China under Grant No. 61271041, Integrated Project iCore (Internet Connected Objects for Reconfigurable Eco-systems) under Grant No. 287708, the Natural Science Foundation of JiangSu Province(Youth Fund) under Grant No. BK2012125.
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Song, Z., Xiong, Y., Ma, J., Zhang, K., Wang, W. (2013). Dynamic Bluetooth Packet Selection Strategy Based on Wi-Fi White-Space Prediction. In: Wang, R., Xiao, F. (eds) Advances in Wireless Sensor Networks. CWSN 2012. Communications in Computer and Information Science, vol 334. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36252-1_38
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DOI: https://doi.org/10.1007/978-3-642-36252-1_38
Publisher Name: Springer, Berlin, Heidelberg
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