2024 Volume 15 Issue 4 Pages 954-970
In order to cope with the ever-increasing demand and volume of data processing, the intelligence has been moved to the edge of the IoT systems. We propose a brain-morphic wireless sensor network (B-WSN), which incorporates reservoir computing in a WSN and performs neural computation. By exchanging pulse signals among neuromorphic nodes, the network exhibits input-dependent dynamics from which information about the inputs is derived. We discuss design options and apply our proposal to estimating the temperature distribution in an area with the B-WSN to verify its performance. Results showed that it could estimate the temperature with the average RMSE of 5.38 and 11.25 degree Celsius in training and testing, respectively.
