Merging Strategy on Cluster-based MDS Algorithm for Nodes Localization in Wireless Sensor Networks
- Title
- Merging Strategy on Cluster-based MDS Algorithm for Nodes Localization in Wireless Sensor Networks
- Author
- 남해운
- Issue Date
- 2020-10
- Publisher
- KICS
- Citation
- 2020 International Conference on Information and Communication Technology Convergence (ICTC), Page. 1132-1135
- Abstract
- In this paper, we introduce a new map merging method based on least squares method (LSM) in cluster-based multidimensional scaling (MDS) localization systems. Most map merging algorithms used in cluster-based MDS localization systems cannot avoid the accumulation of errors in the map merging process in common. Unfortunately, these errors accumulated in the map merging process lead to a decrease in the performance of position estimation of the whole nodes in a network. Through the proposed merging algorithm based on LSM, the errors accumulated in the map merging process can be avoided. The proposed algorithm can be applied not only to the MDS-based localization system but also to other coordinate-based localization systems. The proposed map merging algorithm shows better performance of position estimation accuracy than the simple merging method used in many cluster-based MDS localization systems in all simulations which are not considering map weight factors. As an example of the highest improvement, a simulation result shows 29% improvement in position estimation accuracy after using each corresponding merging method.
- URI
- https://ieeexplore.ieee.org/document/9289570?arnumber=9289570&SID=EBSCO:edseeehttps://repository.hanyang.ac.kr/handle/20.500.11754/165332
- ISBN
- 978-1-7281-6758-9
- ISSN
- 2162-1233
- DOI
- 10.1109/ICTC49870.2020.9289570
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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