Fault Diagnosis for Wireless Sensor Network's Node Based on Hamming Neural Network and Rough Set

Lei Lin, Hou-jun Wang, Chuan-long Dai
2008 2008 IEEE Conference on Robotics, Automation and Mechatronics  
To accurately diagnose node fault in wireless sensor network (WSN) can improve long-distance service of nodes in WSN, assure reliability of information transfer and prolong lifetime of WSN. In this paper, a novel method of fault diagnosis for node of WSN was brought forward. First, attribute reduction for decision-making of fault diagnosis could be founded based discernibility matrix in rough set theory. Furthermore, a set of model for node's fault diagnosis in WSN could be built through
more » ... ication algorithm based on attribute matching. Finally, a set of method for fault classification was founded by hamming network. The result of simulation shows that characteristics of this method are as follows: high veracity of diagnosis, a little expenditure of communication, low energy consumption and strong robustness.
doi:10.1109/ramech.2008.4681504 dblp:conf/ram/LeiWD08 fatcat:jtutzixozbesrnohtmpgsdavcq