Ant Lion Optimizer for Robust UWSNs Communication Protocols

In this research study, the authors examine the use of the Ant Lion Optimizer (ALO) in building reliable communication models for the Underwater Wireless Sensor Networks (UWSNs). Citing some of the challenges unique to the UWSNs include high latencies, low bandwidth and constrained power. The ALO-based protocol proposed for implementation will support efficient selection of routing paths, utilization of energy resources and overall, network scalability, and robustness. Simulation results revealed that the ALO-based protocol has better performance compared to other methods by at least 15% in terms of routing energy, packet delivery, network lifetime, and latency. This research benefits the further advancement of UWSNs by suggesting the improvement of present technologies, and may be used in a number of underwater operations.