Experimental Evaluation of BLE-based Proximity Detection for Pass-by Applications
Abstract
A pass-by application which utilizes proximity detection has a problem that it is always a burden on its developers. This is because the proximity detection performance largely depends on the settings of parameters. In order to implement the pass-by system which satisfies the needs of the users, the application developer must set appropriate parameters. If each developer researches appropriate parameters, their burden of development will increase. In this study, we evaluate effects of proximity detection performance caused by differences in methods of implementing pass-by sonar. Therefore, we develop the pass-by application using Bluetooth Low Energy as a first effort. Then, we do evaluation experiments in order to confirm the dependence of proximity detection performance with the parameters.
References
Tokyo National Museum, ”Tokyo national museum - applications about TohakuNavi,” http://www.tnm.jp/modules/r free page/index.php?id=1467&lang=en.
Nintendo Co. Ltd., ”StreetPass - Nintendo 3DS - SpotPass Information, Details,” https://www.nintendo.com/3ds/built-in-software/streetpass.
A. HAYASHI et al., ”Designing feature of generating and storing common pass-by data in pass-by framework,” in IEICE Technical Report, vol. 115, no. 371, December 2015, pp. 19-24.
Bluetooth SIG Inc., ”Low Energy: Point-to-Point — Bluetooth Technology Website,” https://www.bluetooth.com/what-is-bluetooth-technology/how-it-works/le-p2p.
A. Uehara, iBeacon handbook, Tatsujin Press, 2014.
Google Inc.,”Measuring device power - android open source project,” https://source.android.com/devices/tech/power/device.html.