With the rapid development of the Internet of Things and artificial intelligence, the market has higher and higher demands and expectations for positioning technology. For the management of indoor materials and equipment, it is very important to be able to accurately obtain the location information of each material and equipment. However, to install equipment based on GPS or Beidou satellite positioning technology for each material and equipment requires high costs, and indoor buildings will block Satellite signals reduce the accuracy of indoor positioning. In this paper, combined with Floyd's shortest path finding algorithm, an indoor positioning algorithm based on multi-dimensional scaling analysis is used to locate materials and equipment. The simulation experiment results show that the multidimensional scaling analysis (MDS)-MAP positioning algorithm based on Floyd shortest path proposed in this paper has better positioning accuracy than the positioning algorithm based on APIT and the positioning algorithm based on DV-Hop.

Research on MDS-MAP Location Algorithm Based on Floyd's Shortest Path

Sensor localization technology is the principle problem for configuration and operation of wireless sensor network. Since existing multidimensional scaling localization algorithm has its limitation in localization accuracy, a novel method based on node distance correction (DCMDS) is put forward. The improved multidimensional scaling-based sensor localization algorithm partly divides the location areas of the whole network. It achieves the relative position by distance information among the nodes. Then the distance estimations are corrected according to the distance information of anchor nodes. When the corrected estimations distance matrix is completed, relative position is recalculated with classical MDS algorithm. The optimized particle swarm optimization is used to acquire the final localization results. The performances of DCMDS algorithm were validated in different scenario. The experiments revealed that improved method has high accuracy in localization and low complexity for calculation and communication. It also enhances the extensibility of localization algorithms

Improved MDS-based Sensor Localization Algorithm in Wireless Sensor Networks

Multidimensional scaling technology is a set of technology to analyze the restructuring of the objects' configuration according to the distances between the similarity data items.The MDS reconstructs the objects' coordinates in the multi-dimensional space by constructing objects on the dissimilarity matrix.In this paper a general overview of multidimensional scaling is given.It briefly discussed the concept and classification of the multidimensional scaling,explained the classic multidimensional scaling and the metric multidimensional scaling.Furthermore,this paper emphatically analyzed several types of MDS algorithm,and the experiment data were compared and analyzed as well.

Research on multi-dimension scaling algorithm

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Luo Juan

Author Tools

Chat about Author

Papers

Research on multi-dimension scaling algorithm