A Lightweight Bias Correction Algorithm for Wireless Sensor Networks
Sensor nodes are usually left unattended for long periods of time which makes them prone to failures due to either lack of energy or due to the systematic errors. This poses a great problem as the data from the network becomes progressively useless. To address this critical problem, an early detection and correction algorithm of anomalous data is studied based on the fact that the measurements of one sensor can be related with the measurements of its neighbours. The result of fusion is computed by using average value of a cluster of sensors. The simulation results showed that using this algorithm will result in increasing the effective life span of the sensor network.
wireless sensor networks sensor error correction systematic errors temperature shift.
Bin Zeng ZhaoHui Luo HaiQing Liu
Department of Management,Naval University of Engineering,WuHan,430030,China
国际会议
The IET 2nd International Conference on Wireless,Mobile & Multimedia Networks(第二届IET国际无线移动多媒体网络会议)
北京
英文
2008-10-12（万方平台首次上网日期，不代表论文的发表时间）