Abstract
In recent years, compared to GPS which is commonly used in outdoor positioning, an increasing number of RSSI-based algorithms are adopted in indoor positioning. Substantial studies have been conducted for multi-node RSSI localization in wireless sensor networks. Although they are able to reach reasonable accuracy, it still faces some technical challenges. The bandwidth resource, energy consumption, as well as interference, will impact the practical implementation and accuracy of localization. To improve the performance of indoor positioning system, we design a novel ratio algorithm with high accuracy by introducing a relative distance ratio, instead of measuring the practical distance, to decrease the number of variables. Importantly, this method is of low complexity as it just needs three anchor nodes. Experiments on IRIS platform have demonstrated that the proposed algorithm is effective with high accuracy, low power consumption, and low cost.
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Lu, Xr., Chen, Jx., Zhou, Xc., Dong, Y., Zhou, L. (2014). A Distance Ratio-Based Algorithm for Indoor Localization in Wireless Sensor Networks. In: Cai, Z., Wang, C., Cheng, S., Wang, H., Gao, H. (eds) Wireless Algorithms, Systems, and Applications. WASA 2014. Lecture Notes in Computer Science, vol 8491. Springer, Cham. https://doi.org/10.1007/978-3-319-07782-6_37
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DOI: https://doi.org/10.1007/978-3-319-07782-6_37
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07781-9
Online ISBN: 978-3-319-07782-6
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