Sensor data fusion among neighbors in wireless networks

Leakage monitoring is different from sudden incident monitoring because most of leakage case is a long and slow process. Monitoring sensors are in long erosion and may make mistake decision. We investigate this process and find sensor´s neighbors in leakage monitoring can provide useful information. We propose an approach to make use of soft-decision fusion approach to accumulate these useful data. The proposed method optimize soft-function and adjust its range of sensors which provide useful data. The new method reduces noise in sensor network and engrosses in collecting useful data which supports FC to make global decision. In simulation case of Gaussian distributed observations of leakage monitoring, it is proved that the proposed method has a higher performance than the original one.