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.