Abstract
We present novel distributed algorithms for estimating the number of nodes in a wireless sensor network without any a-priori knowledge or node preferences. The algorithms originate from distributed forms of Gram-Schmidt orthogonalization algorithms where the goal is to distributively find a set of orthogonal vectors. Using concepts from linear algebra, by finding the number of independent (orthogonal) vectors, we also find the number of nodes in a network.
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