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Received signal strength indicator (RSSI) gives a coarse initial measure of the inter-node distance at a low cost without the need for additional equipment or complexity. This necessitates the need for a mechanism to obtain accurate node locations from the noisy RSSI distance estimates. In this paper, an iterative nonlinear manifold learning technique, incremental locally linear embedding (ILLE),...
Received signal strength indicator (RSSI) gives a rough initial measure of the inter-node distances at low cost without the need of additional equipment or complexity. This necessitates the need for a mechanism to obtain accurate node locations from the noisy RSSI distance estimates. In this paper, a non-linear manifold learning technique, adaptive locally linear embedding (ALLE), is proposed for...
RSSI gives an initial rough measure of the inter node distances at low cost without the need of additional equipment or complexity. This necessitates the need for a mechanism to obtain accurate node locations from the noisy distance estimates. Manifold learning techniques can be used for estimating locations, but their ability to localize node in the sensor network environment has not been benchmarked...
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