A CORRELATION ANALYSIS OF THE MAC LENGTH IN STATISTICAL EN-ROUTE FILTERING BASED WSNS.

Wireless sensor networks have various applications including in military, medical and industrial fields. Wireless sensor networks consist of a large numbers of sensor nodes, which are deployed in large fields and open environments. Therefore, sensor nodes are vulnerable to physical attacks and are exposed to false report attack. This attack cause depletion of the sensor node energy. Statistical en-route filtering was proposed to improve energy efficiency and detection power before injected false reports arrive at the base station. The Message Authentication Code (MAC) length of Statistical en-route Filtering affects the energy efficiency and detection ratio. If sensor nodes have a high MAC length in an area with a low attack ratio, the energy efficiency is lower. In this paper, we show energy consumption according to attack ratio looking for optimal MAC length in simulation using discrete event system specification based on statistical en-route filtering.