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IEEE Transactions on Communications, 2022
This paper focuses on improving indoor Wi-Fi localization by mitigating the effect of fluctuation of received signal strength indication (RSSI). The RSSI data collected at each reference point is first transformed through translation and scaling. The BP (
Yiruo Lin +4 more
semanticscholar +1 more source
This paper focuses on improving indoor Wi-Fi localization by mitigating the effect of fluctuation of received signal strength indication (RSSI). The RSSI data collected at each reference point is first transformed through translation and scaling. The BP (
Yiruo Lin +4 more
semanticscholar +1 more source
Classroom Automation Using RSSI
2019 IEEE 1st International Conference on Energy, Systems and Information Processing (ICESIP), 2019The surging energy costs has urged the need to minimize power consumption, especially in large education institutions where most of the power is consumed in providing well lit and air-conditioned classrooms, seminar halls, laboratories and corridors. A lot of power can be saved if we could control electrical appliances through automation, completely ...
Ananya Nunna +4 more
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Localization Sensitivity Under RSSI Quantization
ICC 2019 - 2019 IEEE International Conference on Communications (ICC), 2019Received Signal Strength Indication (RSSI) is a notoriously noisy metric, yet attractive for localization purposes. We study the effect of reducing the RSSI value to a single bit, essentially turning the RSSI measurement into a proximity indicator.
Alan Yong +2 more
openaire +1 more source
IEEE transactions on microwave theory and techniques, 2022
A highly accurate 3-D indoor passive localization and identification system is presented in this article. The system can monitor various commercial Wi-Fi devices through the proposed received signal strength indicator (RSSI)-based angle of arrival (AoA ...
Ho-Chun Yen +2 more
semanticscholar +1 more source
A highly accurate 3-D indoor passive localization and identification system is presented in this article. The system can monitor various commercial Wi-Fi devices through the proposed received signal strength indicator (RSSI)-based angle of arrival (AoA ...
Ho-Chun Yen +2 more
semanticscholar +1 more source
RSSI Comparison of ESP8266 Modules
2018 Electrical Power, Electronics, Communications, Controls and Informatics Seminar (EECCIS), 2018The IoT technology has been on the rise recently. Many more everyday objects and devices are now incorporated with wireless connectivity. The ESP8266 WiFi modules have been one of the wireless enabling technologies. Nowadays, there is a wide variety of ESP8266 development boards available in the market.
null Yoppy +4 more
openaire +1 more source
Adaptive beam steering: RSSI performance
2015 International Conference on Computer, Communications, and Control Technology (I4CT), 2015Adaptive beam steering antenna has been develop in this research. The proposed antenna is capable to steer the radiation pattern to phi of 0°, 45°, 135°, 225° and 315° angles and theta of 0°, 13°, 15°, 10° and 12°. This could be achieved with the suitable design antenna based on the patch yagi-uda antenna concept with a single radiator and four ...
M. Jusoh +5 more
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A Deep Learning Based Bluetooth Indoor Localization Algorithm by RSSI and AOA Feature Fusion
International Conference on Computer, Information and Telecommunication Systems, 2022With the development of the Internet of Things, location based services has received much attentions. Bluetooth 5.1 standard provides the Angle of Arrival (AOA) direction finding function, which opens a new approach for indoor Bluetooth localization.
Dekang Zhu, Jun Yan
semanticscholar +1 more source
Novel RSSI-based techniques for indoor localization
2017 IEEE Radio and Antenna Days of the Indian Ocean (RADIO), 2017This paper considers indoor localization based onmultilateration and averaged received signal strength indicator(RSSI). We propose two approaches called three minimumdistances method (TDM) and weight values adjustment method(WAM) to deal with the poor accuracy of distances deducedfrom RSSI.
Du, Jinze +2 more
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An Improved Wi-Fi RSSI-Based Indoor Localization Approach Using Deep Randomized Neural Network
IEEE Transactions on Vehicular TechnologyIndoor localization methods based on the Wi-Fi-received signal strength indicator (RSSI) ranging technology are sensitive to noise fluctuations and signal attenuations, which could lead to a significant localization error.
Valmik Tilwari +3 more
semanticscholar +1 more source
A Novel Trilateration Algorithm for RSSI-Based Indoor Localization
IEEE Sensors Journal, 2020This paper proposed a novel trilateration algorithm for indoor localization based on received signal strength indication (RSSI). Firstly, all the raw measurement data are preprocessed by a Gaussian filter to reducing the influence of measurement noise ...
Bo Yang +4 more
semanticscholar +1 more source