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We contribute a new solution to the problem of establishing an analytical relationship between hop-counts under a certain routing policy and Euclidean distances in random networks, both in the linear and planar cases. The contributed solution is unified, in that hop-count distributions have similar expressions both in the 1D and the 2D cases; general in terms of routing policies, in that the effect...
We introduce a cooperative algorithm for self and target network localization with privacy. The algorithm differs form other cooperative localization algorithms in which it does not require nodes to disclose their location or even to measure (or share) their mutual distances. This is achieved by a combination of two factors: a) a novel closed-form statistical relationship between the hop- and Euclidean-distances...
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