A New Range-Free Localization Algorithm Based on Amendatory Simulation Curve Fitting in WSN
We analyze Range-free localization algorithms of WSN and propose a new localization algorithm based on amendatory simulation curve fitting theory. Firstly, we present the current research status of localization technology and some improved Range-free localization algorithms based on the modification...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-05-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/634153 |
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| Summary: | We analyze Range-free localization algorithms of WSN and propose a new localization algorithm based on amendatory simulation curve fitting theory. Firstly, we present the current research status of localization technology and some improved Range-free localization algorithms based on the modification of hop distance and selection of anchors. Secondly, we analyze the disadvantages of those algorithms. Thirdly, we propose a new algorithm based on amendatory simulation curve fitting (ASCF) through selecting more accurate reference distance and anchors. The new algorithm can improve the localization accuracy. At last, simulation experiments are conducted, and the experimental results indicate that the new algorithm can enhance the localization accuracy efficiently. |
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| ISSN: | 1550-1477 |