PROJECT TITLE :
WSN Localization Using RSS in Three-Dimensional Space—A Geometric Method With Closed-Form Solution
Proposed during this paper may be a wireless sensor network supply localization algorithm within the 3-dimensional house. By using the measurements of the received signal strength (RSS), 2 closed-kind none-ambiguous estimators are proposed to geometrically find the source position below the shadowing noise in the wireless channel. The dynamic adjustment scheme has been applied in the localization algorithm to combat the measurements error within the ranging. With multiple measurements of the RSS, a lower certain of the source localization error is also derived. The numerical simulations show that the proposed estimators outperform the traditional least squares estimator, particularly below the adverse situation when the reference sensor nodes are shut to be coplanar. Comparing with the most likelihood estimator that approaches the localization lower sure, the proposed estimators lead to considerably lower computational burden, however while not showing much degradation of localization accuracy.
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