Localization in Ad-Hoc Sensor Network: A Machine Learning Based Approach
نویسنده
چکیده
We present a new approach to Ad-Hoc sensor network localization from pairwise received signal strength (RSSI). Localization problem is viewed as a classification problem. We map the output of Support Vector Machine (SVM) to probability and present various schemes for estimating nodes’ locations from it. We show that application of Laplace Eigenmaps followed by an appropriate Affine Transformation gives a good esitmate of nodes’ position.
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