Anchor-Based Distributed Localization Inwireless Sensor Networks

In this paper, we introduce a distributed strategy for localization in a connected wireless sensor network composed of limited range sensors. Our distributed algorithm is computed through the network and provides sensor position estimation from local connectivity measurements. This work takes advantage of a conditionally and locally convex criterion that is easier to compute than the non-convex Kruskal´s Stress. In addition, no initialization is required such as estimating distances between sensors and absolute reference positions. Our iterative technique is distributed among sensors and guarantees the minimization of a global cost function. It might be used in aMobile Ad-hoc Network framework (MANet) thanks to its fast convergence, its low computational cost and its much higher accuracy compared to state-of-the-art methods.