A Localization Algorithm Considering Node Movement for Wireless Sensor Network

Zhang, Fuquan; Shi, Mengmeng; Yang, Xubing; Ling, Xiao; Tan, Xinyi; Gao, Demin; Joe, Inwhee

doi:10.14257/ijfgcn.2017.10.1.16

Cited by 1 publication

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References 14 publications

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“…RTK instruments, however, come at a cost that is not always feasible to bear when developing low‐cost sensor networks. Several studies have focused on the estimation of positional uncertainty (Easton & Cameron, 2006; Sharp, Yu, & Sathyan, 2012), and to reduce it, for example through connected radiolocations and the incorporation of trajectory data, speed, and velocity (MacLean & Datta, 2014; Sreenath, Lewis, & Popa, 2006; Yu & Dutkiewicz, 2012; Zhang et al., 2017). For the purposes of navigation, a positional uncertainty of a few meters is often acceptable, as long as it is visualized and communicated clearly (McKenzie, Hegarty, Barrett, & Goodchild, 2016).…”

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confidence: 99%

A note on the propagation of positional uncertainty in environmental models

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Buul

Osei

et al. 2021

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GPS sensors have an inherent positional uncertainty that is often neglected in environmental modeling. In this article we study the propagation of positional uncertainty in grid‐based geo‐information systems. The probability is obtained that a point has an actual position outside the raster cell in which it was observed. For multiple points, these probabilities serve as weights to update a raster value and adjust for positional uncertainty. We show the effect of positional uncertainty propagation by means of simulations using rasters with different levels of spatial autocorrelation, as well as an illustration of a real‐world example in which we estimate exposure to air pollution. We found that the propagated uncertainty was highest when the spatial autocorrelation is low, with a root mean squared error of 7% compared to 1% for the high spatial autocorrelation scenario. We conclude that positional uncertainty propagates through environmental models and propose a simple probabilistic method to account for it.

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