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A novel algorithm referred to as distributed randomized gradient descent (DRGD), is presented for the localization of nodes in a wireless sensor network. It is proven that, in the case of noise-free measurements, the algorithm converges and provides the true location of the nodes. In the case of noisy distance measurements the convergence properties of the algorithm are discussed and an error bound...
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