He, ShaomingShin, HyosangXu, ShuoyuanTsourdos, Antonios2019-06-262019-06-262019-06-23He S, Shin H-S, Xu, S, Tsourdos A. (2019) Distributed estimation over a low-cost sensor network: a review of state-of-the-art. Information Fusion, Volume 54, February 2020, pp. 21-431566-2535https://doi.org/10.1016/j.inffus.2019.06.026https://dspace.lib.cranfield.ac.uk/handle/1826/14269Proliferation of low-cost, lightweight, and power efficient sensors and advances in networked systems enable the employment of multiple sensors. Distributed estimation provides a scalable and fault-robust fusion framework with a peer-to-peer communication architecture. For this reason, there seems to be a real need for a critical review of existing and, more importantly, recent advances in the domain of distributed estimation over a low-cost sensor network. This paper presents a comprehensive review of the state-of-the-art solutions in this research area, exploring their characteristics, advantages, and challenging issues. Additionally, several open problems and future avenues of research are highlighted.enAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Distributed estimationLow-cost sensor networkFusion methodologyChallenging issuesArticle