Results 171 to 180 of about 17,110 (213)
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Smartphone-Based Indoor Localization via Network Learning With Fusion of FTM/RSSI Measurements
IEEE Networking Letters, 2023This letter proposes a deep neural network (DNN)-based indoor localization approach that leverages WiFi Fine Timing Measurement (FTM) and Received Signal Strength Indicator (RSSI) as environment features to provide accurate location estimation.
Paulson Eberechukwu +4 more
semanticscholar +1 more source
LTE RSSI Based Vehicular Localization System in Long Tunnel Environment
IEEE Transactions on Industrial Informatics, 2023Current navigation systems rely heavily on global navigation satellite systems, which provide stable positioning results in open-sky environments but exhibit severe performance degradation in areas where the signal is compromised, such as dense urban ...
B. Shin +4 more
semanticscholar +1 more source
mmWaves RSSI indoor network localization
2014 IEEE International Conference on Communications Workshops (ICC), 2014Indoor positioning gained great interest in recent years. Several performance evaluations are available for consolidated systems, especially for ultra-wideband radios. Given the current success of mmWaves networks, in this paper, we investigate the performance of RSSI localization systems operating at mmWaves.
Vari M, CASSIOLI, DAJANA
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Wireless RSSI fingerprinting localization
Signal Processing, 2017Localization has attracted a lot of research effort in the last decade due to the explosion of location based service (LBS). In particular, wireless fingerprinting localization has received much attention due to its simplicity and compatibility with existing hardware.
Simon Yiu +3 more
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International Conference on Communication Systems and Networks, 2023
We consider the problem of 2D RSSI prediction in an indoor environment. Indoor RSSI prediction plays a vital role in localization, wireless network topology planning, and scheduling.
N. Raj, Vineeth B. S.
semanticscholar +1 more source
We consider the problem of 2D RSSI prediction in an indoor environment. Indoor RSSI prediction plays a vital role in localization, wireless network topology planning, and scheduling.
N. Raj, Vineeth B. S.
semanticscholar +1 more source
RSSI localization method for mine underground based on RSSI hybrid filtering algorithm
2017 IEEE 9th International Conference on Communication Software and Networks (ICCSN), 2017Aiming at the coal mine personnel positioning method based on wireless sensor network technology, contrasting with advantage of now-existing feasible methods, consulting with traditional trilateral positioning, this paper proposed weighted trilateral localization method based on RSSI ranging.
Liu Yi, Liang Tao, Sun Jun
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RSSI-based Indoor Localization Using RSSI-with-Angle-based Localization Estimation Algorithm
International Journal of Sensor Networks and Data Communications, 2015For the scenarios of indoors localization and tracking, the solutions generally need complex infrastructure because they would require either a grid of antennas, each having a well-known position (proximity based approach), or a sophisticated algorithm that uses scene fingerprint to estimate the location or the zone of an object by matching the online ...
Ambassa Joel Yves, Peng Hao
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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
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