2011 19thTelecommunications Forum (TELFOR) Proceedings of Papers 2011
DOI: 10.1109/telfor.2011.6143553
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Indoor localization system based on low power Wi-Fi technology

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Cited by 4 publications
(2 citation statements)
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“…In this methods the localization is performed based on strength of Wi-Fi [17] or RFID [18] radio signal. A. Dobîrcău, et al [19] in order to fit their system to IoT paradigm use low powered Wi-Fi RFID active devices, which send gathered information to an access point coupled to Internet. An interesting concept presented by Matteo Faraone, et al allows to localize patient inside a room without a need to wear any device just by analysing RSS disturbance between sensor rows, evenly distributed on each wall of the room [20].…”
Section: Iirelated Workmentioning
confidence: 99%
“…In this methods the localization is performed based on strength of Wi-Fi [17] or RFID [18] radio signal. A. Dobîrcău, et al [19] in order to fit their system to IoT paradigm use low powered Wi-Fi RFID active devices, which send gathered information to an access point coupled to Internet. An interesting concept presented by Matteo Faraone, et al allows to localize patient inside a room without a need to wear any device just by analysing RSS disturbance between sensor rows, evenly distributed on each wall of the room [20].…”
Section: Iirelated Workmentioning
confidence: 99%
“…Compared to traditional IEEE 802.11 technology, IEEE 802.11n has the following characteristics: 1) MIMO technology; 2) channel bonding, support 20/40 MHz channel; 3) MAC layer frame aggregation. Paper [5,6,7] design some IEEE 802.11n-basedmethod and devices to achieve high transmission rate, but due to the target of these the indoor applications or low-power designs, their transmission power are limited, which cause limited transmission distance and difficulty in mining use. To solve above problems, this paper designs and implements a mining high-power IEEE 802.11n wireless access point, its physical layer link speed is up to 300Mbps, maximum transmitting power support up to 27dBm.…”
Section: Related Workmentioning
confidence: 99%