Improved localisation method based on multi‐hop distance unbiased estimation

Abstract

Range-free, distributed localisation method is a challenging issue in wireless sensor networks (WSN). Typical hop count-based localisation methods assume that the Hopsize for different hop count is the same. However, many observations in WSN indicate that this assumption does not always correspond to the practical situation. In this study, the authors propose an approximate distribution of k-hop node distance and derive the expectation of k-hop node distance under the above distribution. Furthermore, the authors propose a novel range-free localisation method based on the multi-hop distance unbiased estimation (MDUE), and the simulation results demonstrate that more accurate distance and localisation can be obtained by MDUE than the state-of-the-art methods.

Enhancing Location Accuracy by Minimizing RMS Using RSS-AMLE in WSN

“…For these reasons an alternative solution that is cost effective, easily deployable and can operate in diverse environments is required. The localization method based on Time of Arrival (TOA) framework [2], necessitates the use of additional devices or hardware to ensure that the transmitting and receiving devices are synchronized. Crucially, even a small error in time estimation can lead to a significant deviation in the ranging measurements.…”

Benefits and Impact of Joint Metric of AOA/RSS/TOF on Indoor Localization Error

“…In concrete terms, we use the Fisher Information Matrix (FIM) [12][13][14] to measure the information of the JMART and then rely on the Cramer-Rao Lower Bound (CRLB) [15] to solve the corresponding unbiased localization problem [16].…”

Wireless sensor network node localization algorithm based on chicken swarm optimization and multi-power mobile anchor

“…Based on the characteristics of WSN and positioning requirement, two methods named range-based and range-free [2] are commonly used in basic positioning The former one calculated the position of the unknown nodes by trilateration or triangulation with the distance or angle between nodes. TOA, AOA, TDOA and positioning based on RSSI are common methods of range-based [3] .The latter one , instead of measuring the distance information between the nodes, works with network connectivity to estimate the location of unknown nodes.…”