Abstract | ||
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Sensor nodes in a wireless sensor network establish a network based on location information, set a communication path to the sink for data collection, and have the characteristic of limited hardware resources such as battery, data processing capacity, and memory. The method of estimating location information using GPS is convenient, but it is relatively inefficient because additional costs accrue depending on the size of space. In the past, several approaches including range-based and range-free have been proposed to calculate positions for randomly deployed sensor nodes. Most of them use some special nodes called anchor nodes, which are assumed to know their own locations. Other sensors compute their locations based on the information provided by these anchor nodes. This paper uses a single mobile anchor node to move in the sensing field and broadcast its current position periodically. We provide a weighted centroid localization algorithm that uses coefficients, which are decided by the influence of mobile anchor node to unknown nodes, to prompt localization accuracy. In addition, this study lowered the error rate resulting from difference in response time by adding reliability for calculating and compensating detailed location information using inertia. |
Year | DOI | Venue |
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2011 | 10.1007/978-3-642-19953-0_25 | Studies in Computational Intelligence |
Keywords | Field | DocType |
Wireless Sensor Networks,Inertial,Localization Accuracy | Data collection,Key distribution in wireless sensor networks,Broadcasting,Data processing,Computer science,Word error rate,Response time,Real-time computing,Global Positioning System,Wireless sensor network | Conference |
Volume | Issue | ISSN |
351 | 11 | 1860-949X |
Citations | PageRank | References |
25 | 3.73 | 8 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chang-Woo Song | 1 | 64 | 8.85 |
Kyung-Yong Chung | 2 | 1154 | 80.87 |
Jason J. Jung | 3 | 1451 | 135.51 |
Kee-Wook Rim | 4 | 154 | 24.20 |
Jung-Hyun Lee | 5 | 188 | 23.59 |