Multi-sensors data fusion for precise computing based on fuzzy approach

Wireless Sensor Networks have attracted many researchers all over the world. Wireless sensor networks have become a kind of sub field including data fusion, data aggregation, remote environmental monitoring, sensing (temperature, pressure speed) and a variety of military applications. The Received Signal Strength Indicator (RSSI) is used for distance measurement between sensor nodes. This paper proposes both average and adaptive fuzzy logic algorithms to compute monitoring area temperature. The main advantages of these methods are simplicity and accuracy in area temperature monitoring. We compare the mean square of error of these two methods. Using the RMSE results, it is shown that the adaptive fuzzy logical algorithm with RSSI is better than the average fuzzy logical algorithm at computing monitoring area temperature.