학술논문

Improved Least-Square DV-Hop Algorithm for Localization in large scale wireless sensor network
Document Type
Conference
Source
2022 International Conference on Control, Automation and Diagnosis (ICCAD) Control, Automation and Diagnosis (ICCAD), 2022 International Conference on. :1-6 Jul, 2022
Subject
Components, Circuits, Devices and Systems
Engineering Profession
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Location awareness
Wireless sensor networks
Automation
Simulation
Approximation algorithms
Internet of Things
Optimization
WSN
DV-Hop
Localization
Least-square
Language
ISSN
2767-9896
Abstract
Certain applications of wireless sensor networks require that the sensor nodes should be aware of their position relative to the sensor environment. Generally in the applications of positioning in the internet of things (IoT), there is a deficiency of localization precision and concrete results. It is really important to maintain high-efficient localization schemes for the Internet of things, especially for wireless sensor networks. For that, an improved DV-hop algorithm is proposed in this paper to move for more accurate results based on the least square method. Therefore, the weight coefficient is calculated between an anchor node and the other anchor nodes using the mean square method. Then, this weighting coefficient, the hop size, will be applied between the unknown nodes and the anchor nodes in order to determine the distances. The computed hop-size average significantly enhances the positioning accuracy which is approved by the experiments that explain how suitable this improved Last-Square DV-hop Algorithm is for localization in WSN.