Myunghoon Kang, Dahyun Jung, Suhyune Son, Seonmin Koo, Changwoo Chun, Daniel Rim, Haeyoung Kwon, Yuna Hur, Heuiseok Lim. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.

This paper considers the wireless sensor network iterative localization problem, which involves determining the 2D or 3D position of all nodes in a sequential manner. By utilizing information about the absence of distance measurements as well as all available distance measurements, it is possible to localize a significantly larger number of nodes than previous methods. When considering possible candidate locations for a node, the proposed method utilizes the fact that certain candidates are impossible because those candidates would require distance measurements that are absent (missing). A pseudocode solution is proposed, and simulation results are used to demonstrate the level of localizability achievable with this type of scheme.