My concerns are accurate prediction of energy consumption and allocation of residual energy in a wireless sensor network.
Nikhil Chowki
Choose an appropriate deep neural network (e.g., LSTM for time series data in WSNs). Collect and preprocess features such as node location, network topology, transmission rates, environmental factors, energy levels Train the model Evaluate the model using appropriate metrics e.g., MAE or RMSE for energy prediction. Predict energy consumption Implement an algorithm to use predictions for optimizing energy allocation across the network.
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