ENERGY UTILIZATION IMPACTS IN DETECTING ABNORMALITY ON WIRELESS SENSOR NETWORKS

With the novel developments in Wireless Sensor Network (WSN) technologies, environmental data collection and processing services are applied diverse industrial scientific areas. However, energy limitations vulnerabilities of WSN nodes still main drawbacks technological area. Understanding utilization patterns helps to detect abnormal node behaviors prevent malicious nodes. In this study, we observe found that have distinctive activity based on their types. We also source, sink, relay propagation path higher consumption compared other