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Particle Filter-Based Implementation for Distributed Localization in Wireless Sensor Networks
Particle filter localization algorithm
Wireless Sensor Network (WSN)
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在論文中介紹實現定位系統可分成三部分：感測節點端系統、閘道器系統、伺服端系統。在感測節點系統中使用配置TinyOS作業系統的Tmote Sky感測節點平台實現粒子濾波定位演算法。在閘道器系統使用DMA NAV270開發平台連接感測節點端與伺服端系統間異質網路間通訊。在伺服端系統開發接收由閘道器系統所傳送資料再存入資料庫中，並建立動態網頁讓使用者讀取資料庫資料。|
Localization is an important issue in wireless sensor networks (WSN) since many applications require position information. Due to cost constraints in a sensor node, GPS may not be suitable for the purpose of localization in WSNs. Accordingly, a GPS-free and particle filter-based positioning algorithm is proposed and implemented. At the local level, sensors exploit the “particle filter” methodology to carry out the needed calculations. Besides the advantages of a Bayesian approach, the particles allow a robust method of location identification, which can be tailored to communicate (virtually) any amount of information between sensors. By quantifying the inherent trade-offs (cost of communication vs. improvement with increased communication), it is likely to lead to an adaptable strategy applicable in a variety of situations. The proposed localization system composes of three parts: sensor nodes, gateway, and the server. In sensor system, Tmote Sky with TinyOS is used to implement particle filter algorithm. In gateway system, DMA-NAV270 platform is used to connect sensor nodes and the server. In server system, a program is developed to receive packets from gateway, which will be stored in database. Furthermore, a web server is established with an active website for sharing the information in database.
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