Search results for: I. Ni啪eti膰 Kosovi膰

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Ni啪eti膰 Kosovi膰</title> <meta name="description" content="Search results for: I. Ni啪eti膰 Kosovi膰"> <meta name="keywords" content="I. 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Ni啪eti膰 Kosovi膰"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 1</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: I. Ni啪eti膰 Kosovi膰</h1> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Enhanced Weighted Centroid Localization Algorithm for Indoor Environments</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=I.%20Ni%C5%BEeti%C4%87%20Kosovi%C4%87">I. Ni啪eti膰 Kosovi膰</a>, <a href="https://publications.waset.org/search?q=T.%20Jagu%C5%A1t"> T. Jagu拧t</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>Lately, with the increasing number of location-based applications, demand for highly accurate and reliable indoor localization became urgent. This is a challenging problem, due to the measurement variance which is the consequence of various factors like obstacles, equipment properties and environmental changes in complex nature of indoor environments. In this paper we propose low-cost custom-setup infrastructure solution and localization algorithm based on the Weighted Centroid Localization (WCL) method. Localization accuracy is increased by several enhancements: calibration of RSSI values gained from wireless nodes, repetitive measurements of RSSI to exclude deviating values from the position estimation, and by considering orientation of the device according to the wireless nodes. We conducted several experiments to evaluate the proposed algorithm. High accuracy of ~1m was achieved.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Indoor%20environment" title="Indoor environment">Indoor environment</a>, <a href="https://publications.waset.org/search?q=received%20signal%20strength%20indicator" title=" received signal strength indicator"> received signal strength indicator</a>, <a href="https://publications.waset.org/search?q=weighted%20centroid%20localization" title=" weighted centroid localization"> weighted centroid localization</a>, <a href="https://publications.waset.org/search?q=wireless%20localization." title=" wireless localization."> wireless localization.</a> </p> <a href="https://publications.waset.org/9998886/enhanced-weighted-centroid-localization-algorithm-for-indoor-environments" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/9998886/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a 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Search results for: I. Ni啪eti膰 Kosovi膰