Abstract
High accuracy RSSI data gathering is still a great challenge in indoor environment because the measuring procedure is prone to being interfered by barriers or random walking people. This paper thus focused on anti-interference algorithm to improve the RSSI data accuracy. The interference factors concerned with RSSI value measuring process are analyzed firstly. And then the characteristics of different interference sources are discussed in detail. Two kinds of algorithm are proposed to cope with two kinds of interference sources. One is clustering algorithm, which is used to eliminate the burst interference. The other is filter algorithm, which is used to minimize the random noise. Algorithms are tested on Zigbee platform. Experimental results indicate that the proposed approaches could obviously improve the RSSI accuracy.
This work is supported by Ministry of Science and Technology, P.R. China. (2013BAK01B05), Educational Commission of Shaanxi Province, China (No. 11JK1062).
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Guo, J., Zhang, W., Zhang, C., Fan, X., Wang, L. (2015). Research on Anti-interference Algorithm for Indoor RSSI Measuring. In: Sun, L., Ma, H., Fang, D., Niu, J., Wang, W. (eds) Advances in Wireless Sensor Networks. CWSN 2014. Communications in Computer and Information Science, vol 501. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46981-1_10
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DOI: https://doi.org/10.1007/978-3-662-46981-1_10
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