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Near Field Distance Awareness Algorithm using Bluetooth for Device Sociality Service
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- Authors
- Joonyoung Jung, Dong-oh Kang, Jang-ho Choi, Okgee Min
- Issue Date
- 2016-01
- Citation
- International Conference on Advanced Communication Technology (ICACT) 2016, pp.140-143
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- The use of Device-to-Device (D2D) communication in various networks is expected to grow in the coming years. The D2D distance-based device sociality service is affected by distance awareness between the D2D devices. Thus, the wireless distance awareness between smart devices should be accomplished easily, accurately, and immediately. When smart devices are used in the distance-based distance sociality service, the smart device needs to know the distance to other smart devices in order to aware the space sociality. Several methods, such as receive signal strength indication (RSSI), time of arrival (ToA), and time difference of arrival (TDoA), can be used to aware the distance between D2D devices. Among these methods, the RSSI system can aware the D2D distance easily and inexpensively because most smart devices can estimate the received signal strength. However, estimating the distance using a RSSI is difficult due to inaccuracies. We conducted a preliminary test to discover the relationship between the actual distance and a Bluetooth RSSI under near field environment. Through the results of this test, we realize that the near field distance is hard to be classified due to the inaccuracy of Bluetooth RSSI. Therefore, in this paper, the near field distance awareness algorithm is proposed to reduce measurement errors by alleviating fluctuations in a Bluetooth signal. To evaluate the effectiveness of the proposed algorithm, the distance awareness is compared using different filtering algorithms, such as, a low-pass filer (LPF), a Kalman filter, and a particle filter under a meeting room environment. The proposed algorithm showed the best results in terms of the coefficient of determination, standard deviation, and measurement range.
- KSP Keywords
- Actual distance, Bluetooth RSSI, Coefficient of determination, Device Sociality, Distance awareness, Distance-based, Field environment, Kalman filter, Measurement errors, Measurement range, Meeting room