A uw-Cellular Network: Design, Implementation and Experiments

Abstract

The most significant increase of current task is in the desire for operational flexibility and agility in large-scale underwater network application scenarios in recent years. In order to address the challenging problems in Underwater Wireless Sensor Networks (UWSNs), we propose a large-scale UWSN based on the cellular network architecture called Underwater Cellular (uw-Cellular) network. It is designed especially for application scenarios where a large number of both fixed and mobile network nodes exist in a wide area to monitor the underwater environment. We also design protocols in each network layer in order to ensure reasonable channel sharing, data forwarding path selection and data reliability. The purpose of the simulation study we implement is to evaluate the performance of the CLA routing strategy compared to the VBF and the MFLOOD protocols in the uw-Cellular network. We also deploy a twenty-node uw-Cellular network in the real-world environment as the field case study. The experimental results showed that the Data Rate between any nodes could reach above 500 bps, and the network Average Throughput was no less than 550 bps under various load situations.

An AUV-Assisted Data Gathering Scheme Based on Deep Reinforcement Learning for IoUT

“…As the demand for ocean exploration and development soars, researchers have begun to explore the possibilities of Internet of Things (IoT) technology for underwater applications. The concept of the underwater internet of things (IoUT) was mentioned for the first time in 2010 and identified as an extension and new category of IoT [1]. IoUT is expected to establish the interconnection of underwater objects [2,3] and realize smart oceans [4,5].…”