Artificial immune system based fault diagnosis in large wireless sensor network topology

The Fault diagnosis problem in wireless sensor network (WSN) based on Artificial Immune System (AIS) is a recent technique to diagnose the fault status of sensor nodes. In fact, this allows every sensor node to achieve diagnosis. Here, an Artificial Immune System (AIS) based fault diagnosis for WSN (WAIS) algorithm has been proposed where the performance measures average diagnosis latency, detection accuracy, false alarm rate improved by 32.79%,1.76%,0.8% with respect to the existing algorithms such as dynamic distributed self diagnosis protocol (D DSDP), adaptive distributed self diagnosis protocol (A DSDP), mobile distributed self diagnosis protocol (M DSDP).