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Collaborative Localization and Location Verification in WSNs.

Miao C, Dai G, Ying K, Chen Q - Sensors (Basel) (2015)

Bottom Line: Localization is one of the most important technologies in wireless sensor networks.A lightweight distributed node localization scheme is proposed by considering the limited computational capacity of WSNs.The communication overhead of these algorithms is relative low, and the whole set of reliable localization methods is practical as well as comprehensive.

View Article: PubMed Central - PubMed

Affiliation: College of Computer Science and Technology, Zhejiang Normal University of Technology, Liuhe Road No. 288, Hangzhou 310023, China. cymiao@zjnu.cn.

ABSTRACT
Localization is one of the most important technologies in wireless sensor networks. A lightweight distributed node localization scheme is proposed by considering the limited computational capacity of WSNs. The proposed scheme introduces the virtual force model to determine the location by incremental refinement. Aiming at solving the drifting problem and malicious anchor problem, a location verification algorithm based on the virtual force mode is presented. In addition, an anchor promotion algorithm using the localization reliability model is proposed to re-locate the drifted nodes. Extended simulation experiments indicate that the localization algorithm has relatively high precision and the location verification algorithm has relatively high accuracy. The communication overhead of these algorithms is relative low, and the whole set of reliable localization methods is practical as well as comprehensive.

No MeSH data available.


Coefficients’ variation vs. localization error.
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sensors-15-10631-f009: Coefficients’ variation vs. localization error.

Mentions: In the process of node re-localization, the values of α and β directly affect the result of temporal anchor selection. Matching with the real measurement data, a temporal anchor selection experiment is conducted, as shown in Figure 9, where α + β =1. The temporal anchor can provide good reference performance when the value of α is between 0.2 and 0.3. To verify the necessity of temporal anchor selection, we design another algorithm called A1 which randomly selects a node as anchor.


Collaborative Localization and Location Verification in WSNs.

Miao C, Dai G, Ying K, Chen Q - Sensors (Basel) (2015)

Coefficients’ variation vs. localization error.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4482002&req=5

sensors-15-10631-f009: Coefficients’ variation vs. localization error.
Mentions: In the process of node re-localization, the values of α and β directly affect the result of temporal anchor selection. Matching with the real measurement data, a temporal anchor selection experiment is conducted, as shown in Figure 9, where α + β =1. The temporal anchor can provide good reference performance when the value of α is between 0.2 and 0.3. To verify the necessity of temporal anchor selection, we design another algorithm called A1 which randomly selects a node as anchor.

Bottom Line: Localization is one of the most important technologies in wireless sensor networks.A lightweight distributed node localization scheme is proposed by considering the limited computational capacity of WSNs.The communication overhead of these algorithms is relative low, and the whole set of reliable localization methods is practical as well as comprehensive.

View Article: PubMed Central - PubMed

Affiliation: College of Computer Science and Technology, Zhejiang Normal University of Technology, Liuhe Road No. 288, Hangzhou 310023, China. cymiao@zjnu.cn.

ABSTRACT
Localization is one of the most important technologies in wireless sensor networks. A lightweight distributed node localization scheme is proposed by considering the limited computational capacity of WSNs. The proposed scheme introduces the virtual force model to determine the location by incremental refinement. Aiming at solving the drifting problem and malicious anchor problem, a location verification algorithm based on the virtual force mode is presented. In addition, an anchor promotion algorithm using the localization reliability model is proposed to re-locate the drifted nodes. Extended simulation experiments indicate that the localization algorithm has relatively high precision and the location verification algorithm has relatively high accuracy. The communication overhead of these algorithms is relative low, and the whole set of reliable localization methods is practical as well as comprehensive.

No MeSH data available.