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The reliability of wireless Ad Hoc Networks (WANET) communication is muchlower than wired networks. WANET will be impacted by node overload, routingprotocol, weather, obstacle blockage, and many other factors, all thoseanomalies cannot be avoided. Accurate prediction of the network entirelystopping in advance is essential after people could do networking re-routing orchanging to different bands. In the present study, there are two primary goals.Firstly, design anomaly events detection patterns based on Metamorphic Testing(MT) methodology. Secondly, compare the performance of evaluation metrics, suchas Transfer Rate, Occupancy rate, and the Number of packets received. Comparedto other studies, the most significant advantage of mathematicalinterpretability, as well as not requiring dependence on physical environmentalinformation, only relies on the networking physical layer and Mac layer data.The analysis of the results demonstrates that the proposed MT detection methodis helpful for automatically identifying incidents/accident events on WANET.The physical layer transfer Rate metric could get the best performance.

MetaDetect: Metamorphic Testing Based Anomaly Detection for Multi-UAV Wireless Networks