Analysis of weighted centroid-based localization scheme for wireless sensor networks

Abbas, Ash Mohammad

doi:10.1007/s11235-021-00837-3

Cited by 8 publications

(3 citation statements)

References 20 publications

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“…Figure 5 depicts the distribution of distance error from unknown nodes to beacon nodes obtained by various positioning algorithms under 100 independent simulations. ANDE is the average normalized distance error between unknown nodes and the beacons, which is defined in Equation (18). The red line and the green circle in the blue box represent the median and mean of the experimental results, respectively.…”

Section: Accuracy Of Estimated Distancementioning

confidence: 99%

“…At present, the range-based scheme includes: received signal strength indicator (RSSI) [12,13], time difference of arrival (TDOA) [14,15], time of arrival (TOA) [16,17], and so on. The range-free scheme includes: centroid algorithm [18,19], approximate point in triangle (APIT) [20,21], distance vector hop (DV-Hop) [22,23], etc. The range-based scheme has high positioning accuracy, but it usually needs additional hardware to determine the angle and actual distance between nodes, which will increase the overhead of the network.…”

Section: Introductionmentioning

confidence: 99%

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An Enhanced DV-Hop Localization Scheme Based on Weighted Iteration and Optimal Beacon Set

et al. 2022

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Node localization technology has become a research hotspot for wireless sensor networks (WSN) in recent years. The standard distance vector hop (DV-Hop) is a remarkable range-free positioning algorithm, but the low positioning accuracy limits its application in certain scenarios. To improve the positioning performance of the standard DV-Hop, an enhanced DV-Hop based on weighted iteration and optimal beacon set is presented in this paper. Firstly, different weights are assigned to beacons based on the per-hop error, and the weighted minimum mean square error (MMSE) is performed iteratively to find the optimal average hop size (AHS) of beacon nodes. After that, the approach of estimating the distance between unknown nodes and beacons is redefined. Finally, considering the influence of beacon nodes with different distances to the unknown node, the nearest beacon nodes are given priority to compute the node position. The optimal coordinates of the unknown nodes are determined by the best beacon set derived from a grouping strategy, rather than all beacons directly participating in localization. Simulation results demonstrate that the average localization error of our proposed DV-Hop reaches about 3.96 m, which is significantly lower than the 9.05 m, 7.25 m, and 5.62 m of the standard DV-Hop, PSO DV-Hop, and Selective 3-Anchor DV-Hop.

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Section: Accuracy Of Estimated Distancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Enhanced DV-Hop Localization Scheme Based on Weighted Iteration and Optimal Beacon Set

et al. 2022

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“…The center-of-mass localization algorithm approximates the polygon center of mass formed by the anchor nodes as the coordinates of the point to be measured. The weighted center-of-mass localization algorithm considers the different influence of anchor nodes at different locations on the point to be measured, and assigns weights to the anchor nodes involved in localization [6] . The smaller the distance between the anchor node and the point to be measured, the larger the weight assigned to the anchor node coordinates should be, and vice versa.…”

Section: Weighted Center-of-mass Localization Algorithm With Multi-pa...mentioning

confidence: 99%

Research on Bluetooth indoor positioning system incorporating LoRa

Dai²

2022

Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022)

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In this paper, a Bluetooth indoor positioning system based on RSSI fused with LoRa is implemented. The system consists of positioning terminal, multi-mode beacon base station, LoRa communication gateway and positioning scheduling platform for locating people or equipment. An indoor ranging model parameter optimization method is proposed. The RSSI values obtained from the multimode beacon base station are optimized using Gaussian mean filtering method to reduce the indoor ranging errors. For the problem of low accuracy of Bluetooth beacon localization at the present stage, an improved weighted center-of-mass localization algorithm is introduced on the basis of the existing weighted center-of-mass localization algorithm. The effectiveness of the improved weighted center-of-mass localization algorithm is verified using LoRa and Bluetooth localization platforms by narrowing the effective weighting area and selecting better weighted objects to improve the accuracy of the localization algorithm.

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An improved DV-Hop algorithm based on PSO and Modified DE algorithm

Sun

Wang

et al. 2023

Telecommun Syst

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Analysis of weighted centroid-based localization scheme for wireless sensor networks

Cited by 8 publications

References 20 publications

An Enhanced DV-Hop Localization Scheme Based on Weighted Iteration and Optimal Beacon Set

An Enhanced DV-Hop Localization Scheme Based on Weighted Iteration and Optimal Beacon Set

Research on Bluetooth indoor positioning system incorporating LoRa

An improved DV-Hop algorithm based on PSO and Modified DE algorithm

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