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Advances in digital electronics have enable the development of low-cost, low-power, multifunctional sensor nodes that are small in size and communicate in short distances. These tiny sensor nodes consist of sensing, data processing, and communication components, leverage the idea of Wireless Sensor Networks (WSN) based on collaborative effort of a large number of nodes. Despite the high number of publications dealing with WSN applications, there are still some potential to be explored in WSN development and maintenance. Recent contributions of Intelligence Modeling have made possible the construction of Smart Sensors, reducing maintenance costs and time prototyping. In this scenario, Neural Networks (NNs) have found many successful applications in nonlinear system identification and control, digital communication, pattern recognition, pattern classification, etc.
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