The Adaptive Centroid Localization Algorithm in Wireless Sensor Networks  

Oleh:

Hsiao, Wei-Chieh ; Lin, Yi-Jou ; Yuangyai, Chumpol ; Cheng, Chen-Yang

Jenis: Article from Proceeding
Dalam koleksi: The 14th Asia Pacific Industrial Engineering and Management Systems Conference (APIEMS), 3-6 December 2013 Cebu, Philippines, page 1-10.
Topik: Wireless Sensor Network; indoor localization; centroid algorithm
Fulltext: 3011.pdf (460.32KB)

Isi artikel

Location-based services are widely integrated in our daily lives, and they are used in various ways, such as for investigating inventory goods and personal tracking in healthcare. With increasing applications of wireless localization, accuracy of location estimation requirements has become more critical. However, indoor localization suffers from multi-path interference that affects the traditional algorithmic calculation methods based on radio signal strength. To avoid wireless sensors collision which may result in low accuracy of receiving radio signal, adaptive weight center of gravity localization (AWCG) were proposed. AWCG is based on an assumption of the dynamic relationship between the radio signal strength and the distance in different environments at different times. In the proposed localization algorithm, the error distance was approximately one meter. It is expected to significantly improve the location estimation accuracy with the proposed algorithm.

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