Abstract:

Diagnosis for wireless sensor network (WSN) is difficult, for the constraint of sensor node hardware and limit of network resources. Many existing approaches mainly aim at gathering a large amount of status information from individual sensor nodes, which brings additional communication on the network. Diagnosis based on sensing data (DSD) is designed and implemented,a passive diagnosis method using sensing date in WSN. GreenOrbs is a long-term deployment WSN system in the forest, which releases a large number of actual monitoring data on the Internet (http: //www.greenorbs.org). By studying those public sensing data and network status, a knowledge library to store those related regular patterns is established. Based on this self-improvement system, failures and traffic overhead can both be deduced. The experiment carried out in Testbed and realistic environment show that DSD can improve diagnosis efficiency, decrease the burden of network traffic, and have the flexibility with the arrangement of large-scale WSN.

Key words: wireless sensor network, diagnosis, sensing data, rough set