Advances in the Internet of Things (IoT) and underwater communications have led to extensive research in academia and industry in recent years to implement underwater applications. The successful operation of these applications depends on the use of efficient communication protocols and solutions. Given the dynamic and bandwidth-limited nature of underwater communications, the use of condition-aware routing techniques can mitigate some of these limitations. In this paper, we propose a multi-objective path computation approach for underwater IoT networks that aims to balance energy consumption and maximize network throughput. The proposed mechanism leverages the benefits of Software-Defined Networking (SDN) architecture to collect information about the coordinates of underwater nodes and then calculates the optimal paths to the destination node using a multi-objective mathematical model. Once the paths are calculated, the underwater nodes send data packets towards the destination based on the calculated paths. Simulation results demonstrate that the proposed solution increases the throughput of the network while balancing energy consumption compared to baseline methods.
