Advanced MDS-MAP Localization Algorithm with Weighted Clustering and Heuristic Ranging

Wang, Jing; Qiu, Xiaohe

doi:10.1145/3289430.3289448

Cited by 4 publications

(1 citation statement)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this method, there is a disadvantage that cannot be applied when the number of gateway nodes is less than two. Jia [17] and Wang [18] used a heuristic method to estimate the distance and merge local maps created for each cluster. Through this, a method combining local maps was suggested even under insufficient conditions (commonly, η + 1 number of nodes are required for the positioning system to merge local maps, where η is the number of dimensions of space).…”

Section: Related Workmentioning

confidence: 99%

Robust Localization System Using Vector Combination in Wireless Sensor Networks

Kang

Nam

2022

IEEE Access

View full text Add to dashboard Cite

This paper proposes a vector-based localization system that uses both distance and angle information. In wireless sensor networks, the positions of nodes are commonly determined by a rangebased localization system using distance information. If both distance and angle information are available, it is possible to improve the accuracy of estimating the positions of nodes compared to a positioning system with only distance information. Existing studies using distance and angle information assume that all the nodes are directly connected to one another and do not consider a method for measuring angle information between the nodes that are not directly connected. However, this assumption may not be valid for realworld wireless sensor networks especially with a large number of nodes having a limited communication range. The proposed localization algorithm solves this problem by a vector combination that transforms the vectors on the local coordinate system to the network-wide global coordinate system. The proposed algorithm is shown to be robust especially even in a network with 1-edge connectivity. Simulation results show that the proposed algorithm has up to 70% higher positioning accuracy compared to the existing iterative range-based algorithm such as MDS-MAP(C,R).

show abstract

Section: Related Workmentioning

confidence: 99%

Robust Localization System Using Vector Combination in Wireless Sensor Networks

Kang

Nam

2022

IEEE Access

View full text Add to dashboard Cite

show abstract

Merging Strategy on Cluster-based MDS Algorithm for Nodes Localization in Wireless Sensor Networks

Kang

Nam

2020

2020 International Conference on Information and Communication Technology Convergence (ICTC)

View full text Add to dashboard Cite

Iterative Vector-Based Localization in a Large Heterogeneous Sensor Network

Kang,

Nam

2024

IEEE J. Sel. Areas Sensors

View full text Add to dashboard Cite

This paper proposes a novel iterative vectorbased localization method in a large heterogeneous sensor network, where a subset of nodes possesses the capability to measure both distance and angle information, while the others are only limited to distance measurements. Unlike conventional vector-based positioning methods that assume all nodes can measure both distance and angle, our approach tackles a more realistic scenario where some nodes are limited to distance-only measurements. To address the challenges of the node localization in a heterogeneous sensor network, the proposed positioning method calculates vector information between the nodes that are not directly communicated and aligns it with a reference coordinate. In addition, the proposed method employs an iterative calculation, such as least-squares minimization, thereby achieving high positioning accuracy. Simulation results demonstrate that the proposed positioning method outperforms the conventional distance-based positioning method in environments with low angle measurement errors, exhibiting up to 44% higher positioning accuracy. Furthermore, the proposed positioning method shows 24% higher positioning accuracy compared to the conventional vector-based positioning method.

show abstract

Advanced MDS-MAP Localization Algorithm with Weighted Clustering and Heuristic Ranging

Cited by 4 publications

References 11 publications

Robust Localization System Using Vector Combination in Wireless Sensor Networks

Robust Localization System Using Vector Combination in Wireless Sensor Networks

Merging Strategy on Cluster-based MDS Algorithm for Nodes Localization in Wireless Sensor Networks

Iterative Vector-Based Localization in a Large Heterogeneous Sensor Network

Contact Info

Product

Resources

About