Automated Troubleshooting in WLAN Networks

The automation of troubleshooting in mobile and wireless networks is essential to guarantee an efficient network operation with high performance and low cost. In this paper, we focus on automated diagnosis of faults in WLAN networks and propose a framework based on Bayesian networks to relate faults to symptoms. Candidate list of faults and symptoms for the diagnosis are proposed and the manner to construct the diagnosis model is described. To illustrate the proposed approach, some results are examined based on statistics from WLAN network simulator.