Neural Networks for Error Detection and Data Aggregation in Wireless Sensor Network

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Correct information and data aggregation are very important in wireless sensor networks because sending incorrect information by fault sensors make to wrong decision about environment and increasing defective sensor during the time incorrect data decries reliability of wireless sensor networks. Previous methods have problems such as there are fault sensors in wireless sensor network therefore wrong data are sent to CH by these sensors. In this paper, the authors apply the neural network within the sensors, fault sensors and wrong data are discovered and eliminated. That is increased efficiency and reliability and longevity sensor networks.