Wireless Sensor Network Localization Algorithm Based on Hop-Count and Distributed Learning

Ying Zhang; Yi Wang; Ying Ze Ye

doi:10.4028/www.scientific.net/AMR.940.457

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 940Wireless Sensor Network Localization Algorithm...

Wireless Sensor Network Localization Algorithm Based on Hop-Count and Distributed Learning

Abstract:

The wireless sensor network localization algorithm in this paper combines hop-count information and distributed learning. The network is classified into many classes based on sensors’ location, and then the class that each sensor falls into is specified. There are a certain number of beacon nodes with position coordinate in network, and they use their own locations as training data in performing above classification. This positioning method merely uses the partial hop-count information between target sensor and reference node in specifying the class of each node. The final simulation experiment will analyze the excellent performance of this method under different system parameters.

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Periodical:

Advanced Materials Research (Volume 940)

Pages:

457-460

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.940.457

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Online since:

June 2014

Authors:

Ying Zhang, Yi Wang*, Ying Ze Ye

Keywords:

Distributed, Learning, Localization, Wireless Sensor Network (WSN)

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