论文信息 - Ad-hoc Kalman Filter Based Fusion Algorithm for Real-Time Wireless Sensor Data Integration

Ad-hoc Kalman Filter Based Fusion Algorithm for Real-Time Wireless Sensor Data Integration

The paper describes a new developed software algorithm based on Kalman filtering for multi sensor data fusion designed for Intelligent Wireless Sensor Networks (IWSN). The proposed algorithm is implemented in set of ZigBee 6LowPan based intelligent wireless sensor modules, managed by custom design data integration software platform with SOA architecture. The system consist of ad-hock generated intelligent wireless sensor network for meteorological data collection (include sensors for air temperature, humidity, solar radiation and barometric pressure) and remote control center. Based on the proposed algorithm, the intelligent sensor nodes in the IWSN execute a cluster based decentralized sensor fusion operations of the raw sensor data which reduce the traffic load, minimize the power consumption, decrease the data noise and increase the reliability of the data sent to the control center.

Alexander Alexandrov | A. Alexandrov

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