Secured node detection technique based on artificial neural network for wireless sensor network

The wireless sensor network is becoming the most popular in last recent years as it can measure environmental conditions and send them to process purposes. Many vital challenges face deployment of WSNs such energy consumption security issues. Various attacks could be subjects against cause damage either stability communication or destruction sensitive data. Thus, demands intrusion detection-based energy-efficient techniques rise dramatically becomes vast complicated. Qualnet simulation used performance networks. This paper aims optimize energy-based detection technique using artificial neural by MATLAB Simulink. results show how optimized method based on biological nervous systems improves WSN. In addition that, unsecured nodes are affected negatively trouble its behavior. regress analysis for both methods detects variations when all secured some unsecured. Node packet delivery ratio efficiently implemented an network.