Abstract
For Wireless Sensor Networks (WSN), low-cost precise localization is the most essential requirement. Localization techniques based on RSSI is cost effective when be in comparison with TDOA, TOA and AOA. Because it doesn’t need any extra power, hardware or bandwidth. In this paper, we simply introduce some related theory and techniques, such as TDOA, TOA and AOA in Wireless Sensor Networks. Localization error can be declined by observing both RSSI and LQI at the same time. We survey a dynamic distance estimation method based on RSSI and LQI, and present a comparison of some algorithms based on the theory. By analyzing the model of radio wave propagation loss and empirical data from real measurement, the method is to use discrete linear lines to approximate the real attenuation of RSSI and LQI.
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Acknowledgement
This work is supported by the National Science Foundation of China under Grant No. 61300237, No. U1536206, No. U1405254, No. 61232016 and No. 61402234, the National Basic Research Program 973 under Grant No. 2011CB311808, the Natural Science Foundation of Jiangsu province under Grant No. BK2012461, the research fund from Jiangsu Technology & Engineering Center of Meteorological Sensor Network in NUIST under Grant No. KDXG1301, the research fund from Jiangsu Engineering Center of Network Monitoring in NUIST under Grant No. KJR1302, the research fund from Nanjing University of Information Science and Technology under Grant No. S8113003001, the 2013 Nanjing Project of Science and Technology Activities for Returning from Overseas, the 2015 Project of six personnel in Jiangsu Province under Grant No. R2015L06, the CICAEET fund, and the PAPD fund.
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Ji, S., Liu, D., Shen, J. (2017). Localization Technology in Wireless Sensor Networks Using RSSI and LQI: A Survey. In: Park, J., Pan, Y., Yi, G., Loia, V. (eds) Advances in Computer Science and Ubiquitous Computing. UCAWSN CUTE CSA 2016 2016 2016. Lecture Notes in Electrical Engineering, vol 421. Springer, Singapore. https://doi.org/10.1007/978-981-10-3023-9_53
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DOI: https://doi.org/10.1007/978-981-10-3023-9_53
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