Area temperature system monitoring and computing based on adaptive fuzzy logic in wireless sensor networks
The many subfields in the wireless sensor networking literature include data fusion, data aggregation, remote environmental monitoring, sensing (temperature, pressure speed) and various military applications. The distance between sensor nodes can be measured by a Received Signal Strength Indicator (RSSI). This study proposes both average and adaptive fuzzy logic algorithms for computing temperature in a monitored area. The main advantages of these methods are their simplicity and accuracy and better than the standard Manadni fuzzy logic method. Finally, comparison of the two methods in terms of root mean square error shows that the adaptive fuzzy logical algorithm with RSSI is better than average fuzzy logical algorithm for computing monitoring area temperature.
temperature monitoring fuzzy logic rssi wsn