Details

Autor(en) / Beteiligte

• Pei, Zhongmin
• Yuan, Hanning
• Geng, Jing
• Liu, Chuanlu
• Surapunt, Tisinee
• Bian, Fuling

Titel

Wireless Sensor Network Localization Approach Based on Bayesian MDS

Ist Teil von

• Geo-Spatial Knowledge and Intelligence, p.709-716

Ort / Verlag

Singapore: Springer Singapore

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• The aim of wireless sensor networks (WSNs) are to perceive, collect and process the information of sensor nodes within the coverage of the network. As a bridge between the physical world and the digital one, WSNs have widely been applied in many fields. One of the key issues for most applications is to know the location of sensor nodes. Though localization algorithms based on multidimensional scaling (MDS), which only need several anchor nodes, have been proven to be robust with respect to range-based implementations, these methods are sensitive inaccuracy range measure. This article proposes a novel localization algorithm based on Bayesian MDS, named as MDS-MAP(P, B), where P and B denote the use of patching of local maps and Bayesian MDS, respectively. Experimental results in real-world systems show that our method is more robust and efficient.