Provide an Efficient Transmission Design to Increase the Lifetime of Underwater Wireless Sensor Network Using the ACAMIMO Combination Algorithm and DBR Valgory

Today, wireless sensor networks have become one of the broadest technologies in human life and active research topics in computer science and communications, which has been developing into sub-sea areas for decades. In these networks due to the limited hardware and software resources, proper routing methods play an important role in considering the parameters of reducing the number of downtime, improvingservice quality and optimum energy consumption. This study examines the underlying wireless sensor networks and the challenges involved in routing these networks. In addition to researching different routing methods in underwater wireless sensor networks, we have introduced a new method for more efficient use of network resources and better service quality as well as routing with less packet failure and efficientpower. Since clustering algorithms have higher convergence rates than other table-based methods and are more resistant to link failure, we have proposed our approach to this category. In the proposed method, optimal route mapping is performed based on deep clustering and Acamimo clone-based algorithm. The results show that the proposed method has improved significantly compared to the base method, and theproposed method, in comparison with similar algorithms for different data generation patterns, reduces energy consumption and point-to-delay delay, and on the other hand, the transmission rate increases packet transmission and network lifetime. It has a good performance in terms of energy balance and energy efficiency.

Keywords:

Undersea Wireless Sensor Networks , Ant Clover Algorithm , Deep Clustering Algorithm , Acamimo Algorithm