We propose a distributed gradient descent (GD) localization algorithm in 3D space for wireless sensor networks that employ the push-sum (PS) gossipalgorithm to compute sums. sums and averages constitute building bloc...
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We propose a distributed gradient descent (GD) localization algorithm in 3D space for wireless sensor networks that employ the push-sum (PS) gossipalgorithm to compute sums. sums and averages constitute building blocks for various signal processing applications including the one under consideration. Our contribution lies in combining vector PS and GD approaches achieving fast convergence, high accuracy and a remarkable robustness against link failures. Comparisons are presented with the centralized counterpart and with similar recent works.
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