Abstract
Precise estimation of inter-sensor distances is essential for reliable localisation in Internet of Things sensor networks. A cost-effective, scalable, asynchronous solution to estimate inter-sensor distances based solely on measurements of distances to a moving object is proposed. More specifically, the proposed solution estimates uncharted distances using trigonometry and processes these estimated distances with a distributed weighted multi-dimensional scaling algorithm for more precise localisation of sensors. It is demonstrated that the proposed solution achieves the localisation error of 4.8–33.9 cm when the measurement errors of sensor devices are in the range of 5–40%.
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