Design of an Intelligent Housing System Using Sensor Data Fusion Approaches
Arezou Moussavi, Behzad Moshiri, Hamid Reza · 2009
As shown in Fig.2 the probabilities of the sensors for activating are very low. At least PIR's are more sensitive than what were supposed here and the sensors had to detect the intrusion with higher probability. Meanwhile the worst conditions of the sensors for detection have been considered. However, the proposed system based on data fusion concept could easily detect the intruder. One of the advantages of using this system is detecting the zone where the intruder attacked, so based on the location of the house, the different mechanisms could be used in order to trap the intruder. The higher reliability of the simulated security system was achieved due to the redundancy and complementary characteristics of the sensor fusion itself, and the nature of the parallel processing of sensor data fusion approach provides less costly information processing. In this scenario the "m (intruder secure) =?", as a result, the conflicting masses in PCR5 are transferred to those that contributed in conflicting mass. For future work, "m (intruder secure) ?" could be considered; meanwhile, the other fusion approaches using fuzzy integral operator or neuro-fuzzy method could be applied.