2021
DOI: 10.1109/tim.2020.3048776
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Evaluating Smartphone Accuracy for RSSI Measurements

Abstract: Smartphones are today affordable devices, capable of embedding a large variety of sensors such as magnetometers or orientation sensors, but also the hardware needed to connect them to most wireless communication technologies such as Wi-Fi, Bluetooth, or cellular networks. Therefore, they are handy devices able to perform Received Signal Strength Indicator (RSSI) measurements for a wide variety of applications such as cellular coverage maps, indoor localization, or proximity tracking. However, to the best of ou… Show more

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Cited by 19 publications
(14 citation statements)
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“…Should the co-located antenna act as a transmitter, it is expected that the sensor's response will be maintained and will still be detectable by the reader, as the sensor will have its own unique ID. The observed sensory response, both in the presence and absence of the co-located antenna, falls within the RSSI accuracy of smartphones [45], which shows that the proposed sensor could be adopted in future wireless networks.…”
Section: B Ice Detection and Monitoringsupporting
confidence: 58%
“…Should the co-located antenna act as a transmitter, it is expected that the sensor's response will be maintained and will still be detectable by the reader, as the sensor will have its own unique ID. The observed sensory response, both in the presence and absence of the co-located antenna, falls within the RSSI accuracy of smartphones [45], which shows that the proposed sensor could be adopted in future wireless networks.…”
Section: B Ice Detection and Monitoringsupporting
confidence: 58%
“…c) Other Topics: A study on the RSSI measurement accuracy of different smartphones was presented by Boussad et al [25]. Lee and Lin propose a localization system based in the variations of measurable RSS values, to track the entering and exiting of persons in rooms [26].…”
Section: B Ble Localizationmentioning
confidence: 99%
“…The data were used to compare a range of variables (e.g., number of calls, duration of calls, laterality of phone use, hands-free phone use-wired headset, Bluetooth, speaker mode) with the tool and those collected through self-reported questionnaire after 6-months [30]. Similarly, another study collected weekly data on number of calls, duration of calls (minutes) and data usage (megabytes) Two large international studies-Mobi-Expo study [32]; COSMOS study [33] Quanta Monitor™ (Finland) [19] Cumulative and instantaneous parameters, including received power and transmitted power A pilot study in Australia [19] QualiPoc ElectroSmart™ (France) [22] RSSI (dB) from cellular antennas (2G, 3G, and 4G), Wi-Fi access points and Bluetooth devices, Positioning System (GPS) coordinate and the orientation of the smartphone Two studies from France [36][37][38] Wi-Fi Radiation Meter™ (Cyprus) [23] Power density (W/m 2 or dBm) from Wi-Fi access points A Croatian study [24] Crowdsourcing-Based EMF Exposure Monitoring App (Germany) [25,26] RSRP measurements (dB) of LTE networks, GPS coordinates, timestamps…”
Section: Xmobisense™mentioning
confidence: 99%