Energy-Efficient Routing using the Hybrid Bilevel-Litechenbery-Optimization Algorithm in Comparison with Ant-colony Optimization

In this paper, we will examine how to increase the energy efficiency of routing methods for underwater wireless sensor networks in this study. Water resources capture a vast amount of data that can subsequently be used to protect human life and marine life. Underwater wireless sensor networks are designed with a base station near the seashore, sink nodes that function as receiver nodes, and source nodes that serve as anchor nodes. Anchor collects data transmitted to sink nodes in between occurrences of delay, frequency band, time consumption, and routing communication methods are reduced is a most important one. If the energy absorption of sensor nodes is not reduced means that the battery easily discharges here underwater wireless sensor network battery replacement is difficult. We are going to concentrate on energy-saving techniques. Some energy-saving protocols are available, but they only compare two techniques: the Bilevel-Litechenbery algorithm and the ant-colony algorithm on common parameters including throughput, energy consumption, and packet delivery ratio. Each algorithm does have some advantages and drawbacks. Which one is more valid and reliable, durability algorithms are favored for these networks analysis using Ns2 Aquasim Software.