Volume 10 Issue 2 - April 2018

  • 1. Los identification using wi-fi

    Authors : Issac Gaberiel. A, Dr Anita Jones Mary

    Pages : 83-88

    DOI : http://dx.doi.org/10.21172/1.102.13

    Keywords : wireless networkswireless communicationcommunication technology.

    Abstract :

    wireless LANs, especially Wi-Fi have been pervasively conveyed and have cultivated myriad wireless communication services and ubiquitous computing applications. The main concern in designing these applications is to face harsh indoor propagation environments, especially Non- Line- Of- Sight (NLOS). The ability to find the presence of line-Of – sight (LOS) path acts as a key enabler for adaptive communication, cognitive radios, and robust localization. Empowering such capability on commodity Wi-Fi infrastructure on the other hand, is restrictive because of the coarse multipath determination with MAC-layer received signal strength. In this paper we propose two PHY-layer channel-insights based elements from both the time and recurrence areas. To further split away from the intrinsic bandwidth limit of Wi-Fi, We propose Li-Fi a statistical LOS identification scheme with product Wi-Fi infrastructure, and assess it in typical indoor environments covering an area of 1500 m2. The experimental results illustrates that Li-Fi accomplishes an overall LOS detection rate of 90.42% with a false alarm rate of 9.34% for the temporal feature and an overall LOS detection rate of 93.09% with a false alarm rate of 7.29% for the spectral feature.

    Citing this Journal Article :

    Issac Gaberiel. A, Dr Anita Jones Mary, "Los identification using wi-fi", https://www.ijltet.org/journal_details.php?id=930&j_id=4473, Volume 10 Issue 2 - April 2018, 83-88, #ijltetorg