Wireless Sensor Network Localization With Imprecise Measurements Using Only a Quadratic Solver

The energy constrained wireless sensor nodes need very efficient localization algorithm for event detection. We propose a method for localizing the wireless sensor nodes using the concept of Cayley-Menger Determinants, which in turn uses a quadratic solver. This is a modification of the method proposed in Ref. [5]. Cayley-Menger Detereminants are used to introduce corrections to the noisy measurements, so that the measured distances meets all the Euclidean geometric properties. Ref. [7] uses semidefinite programming with L1 norm, while Ref. [5] uses quadratic programming combined with Cayley-Menger Determinants. The proposed method is found to be computationally very much simpler and efficient than those in Ref. [7], and [5].