Distributed wireless sensor network localization via sequential greedy optimization algorithm
IEEE Transactions on Signal Processing
An Optimization Algorithm for Wireless Sensor Networks Localization Using Multiplier Method
CSO '10 Proceedings of the 2010 Third International Joint Conference on Computational Science and Optimization - Volume 02
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We propose a new theory and method for unilateral positioning based on two reference nodes to reduce the number of reference nodes used in unilateral node deployment. In the method, a blind node obtains the location and distance of two reference nodes by establishing equations intended to derive two sets of solutions. The positioning solution of the blind node is then determined on the basis of one side of the line that connects the two reference nodes. To verify the accuracy of the new method, the proposed positioning theory is interpreted and simulated in a MATLAB environment. Results show that the highly accurate positioning generated by the proposed method is attributed to its basic principle and right method, thereby reducing the number of reference nodes needed for positioning in wireless sensor networks.