Structure identification of fuzzy model
Fuzzy Sets and Systems
Fuzzy logic alternative for analysis in the biomedical sciences
Computers and Biomedical Research
Sensor network-based countersniper system
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Sensor Networks for Emergency Response: Challenges and Opportunities
IEEE Pervasive Computing
Deploying a Wireless Sensor Network on an Active Volcano
IEEE Internet Computing
Adaptive genetic algorithms applied to dynamic multiobjective problems
Applied Soft Computing
An improvement on genetic-based learning method for fuzzy artificial neural networks
Applied Soft Computing
Using a hybrid MCDM model to evaluate firm environmental knowledge management in uncertainty
Applied Soft Computing
Wireless Sensor Network Lifetime Analysis Using Interval Type-2 Fuzzy Logic Systems
IEEE Transactions on Fuzzy Systems
Efficient learning algorithms for three-layer regular feedforward fuzzy neural networks
IEEE Transactions on Neural Networks
Self-learning fuzzy controllers based on temporal backpropagation
IEEE Transactions on Neural Networks
On the complexity of energy efficient pairwise calibration in embedded sensors
Applied Soft Computing
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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.