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Wireless location finding is one of the key technologies for wireless sensor networks.GPS is the technology used but it can be used for the outdoor location. When we deal with the indoor locations GPS does not work. Indoor locations include buildings like supermarkets, big malls, parking, universities, and locations under the same roof. In these areas the accuracy of the GPS location is greatly reduced. Location showed on the map in not correct when the GPS is used under the indoor environments. But for the indoor localization it requires the higher accuracy GPS is not feasible for the current view. And also when the GPS is used in the mobile device it consumes a lot of the mobile battery to run the application which causes the drainage of the mobile battery within some hours. So to find out the accurate location for indoor environment we use the RSSI-based trilateral localization algorithm. The algorithm has the low cost and the algorithm does not require any additional hardware support. With the development of the wireless sensor networks and the smart devices the WIFI access points are also increasing. The mobile smart devices detects three or more known WIFI hot-spots positions. And using the values from the WIFI routers it calculates the current location of the mobile device. We will propose a system so that we can find out the exact location of the mobile device under the indoor environment and can navigate to the destination using the navigation function and also can enable the low consumption of the smart mobile battery for the tracking purpose.
Keywords:
Conditional random fields, device-free localization, energy minimization, Markov models, multi-entity tracking
Cite Article:
"QR CODE BASED INDOOR NAVIGATION", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.2, Issue 5, page no.258 - 262, May-2017, Available :http://www.ijrti.org/papers/IJRTI1705046.pdf
Downloads:
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator