Energy efficient and delay sensitive routing with predictive sink mobility in mobile wireless sensor network using triple parallel convolutional neural network optimized by cleaner fish algorithm | Synapse
March 3, 2026
Energy efficient and delay sensitive routing with predictive sink mobility in mobile wireless sensor network using triple parallel convolutional neural network optimized by cleaner fish algorithm
Key Points
Efficient routing strategies significantly improve energy efficiency in mobile wireless sensor networks, enhancing overall performance.
Findings show predictive sink mobility can optimize routing decisions, resulting in reduced latency and increased data transmission rates.
Assessment using convolutional neural networks and cleaner fish algorithm highlights energy-efficient routing mechanisms and their advantages.
This study may enable advanced mobile networks, while further exploration is required to generalize findings across diverse environments.