Hybrid Optimization and Deep Graph-GRU Based Energy-Efficient Routing and Fault Prediction in WSNs for Smart Agriculture Applications

Key Points

• Energy-efficient routing strategies significantly improve performance in wireless sensor networks for agriculture applications.
• Key metric shows a reduction in energy consumption by 30%, enhancing sustainability efforts in smart agriculture.
• Analysis combines advanced hybrid optimization and deep graph-GRU algorithms for effective fault prediction insights.
• This approach may enable smarter agricultural practices, calling for broader implementation in real-world settings.