A Dynamic Time Warping Based Method to Synchronize Spectral and Protocol Domains for Troubleshooting Wireless Communication

An increase in popularity of wireless networks, mainly in industrial automation and manufacturing has escalated the need of reliable wireless networks. One subtle way of achieving reliability is early diagnosis of transmission failures and taking preventive measures against it. However, it is difficult to achieve as these failures mainly arise by challenging signal propagation conditions and interference from co-existing networks, which is hard to diagnose. This leads to Quality-of-service degradation and faulty applications which may result in system breakdown and financial distress. In this paper, we propose a novel Dynamic Time Warping (DTW) based method known as Variable Adaptive DTW (VADTW) for synchronizing spectral and protocol domains to obtain precise and complete information about collisions and co-existing links causing interference and further utilize it for troubleshooting. VADTW divides the spectral and protocol sequences in adaptive time bins and calculates variable window limits for each frame to perform synchronization. To prove the efficiency of the proposed approach, we tested it in a Wi-Fi network as a proof-of-concept. The experiments are performed with real-time data traffic captured in different scenarios. VADTW successfully synchronizes sequences even with a frame loss ratio of 50% in both cases. We also perform comparative analysis of VADTW with other DTW based approaches on the basis of performance, computational cost and execution time.