International Journal of Computer Applications
Wireless Sensor Networks (WSNs) have emerged as one of the most important research areas, large numbers of limited resource sensor nodes are used to monitor the physical environment and report any significant information. Many different Anomaly Detection Systems (ADS) have been proposed in the literature over the years. Now apply an algorithm to increase detection sensitivity. Detection of sensor data irregularities is useful for practical applications as well as for network management, because the patterns found can be used for both decision making in applications and system performance tuning.