Architectural Framework for Underwater IoT: Forecasting System for Analyzing Oceanographic Data and Observing the Environment

Abstract

With the passage of time, the exploitation of Internet of Things (IoT) sensors and devices has become more complicated. The Internet of Underwater Things (IoUT) is a subset of the IoT in which underwater sensors are used to continually collect data about ocean ecosystems. Predictive analytics can offer useful insights to the stakeholders associated with environmentalists, marine explorers, and oceanographers for decision-making and intelligence about the ocean, when applied to context-sensitive information, gathered from marine data. This study presents an architectural framework along with algorithms as a realistic solution to design and develop an IoUT system to excel in the data state of the practice. It also includes recommendations and forecasting for potential partners in the smart ocean, which assist in monitoring and environmental protection. A case study is implemented which addresses the solution’s usability and agility to efficiently exploit sensor data, executes the algorithms, and queries the output to assess performance. The number of trails is performed for data insights for the 60-day collection of sensor data. In the context of the smart ocean, the architectural design innovative ideas and viable approaches can be taken into consideration to develop and validate present and next-generation IoUTs and are simplified in this solution.

Three-Dimensional Iterative Enhancement for Coverage Hole Recovery in Underwater Wireless Sensor Networks

“…With the continuous exploitation of marine resources, underwater wireless sensor networks (UWSNs) composed of underwater nodes have made great achievements in disaster warning, target tracking, and other fields [1]. In the target region of the UWSNs, nodes obtain the required data through the Internet of underwater devices [2]. These underwater nodes have data acquisition, transmission, and communication capabilities for the interaction of physical and logical information via hydroacoustic signals [3].…”

“…To solve the coverage control problem of nodes, the following problems need to be addressed: (1) The limited energy carried by underwater nodes and the mobility of underwater nodes cause deformation of the topology of UWSNs, leading to coverage holes in some areas, thus affecting the quality of service. (2) The existing covering research involves mainly the geometric method or the use of node force between particles. The former has poor operability in the underwater environment, while the latter is prone to some coverage fluctuations during final network operation.…”

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

“…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]. Due to the special characteristics of the marine environment, terrestrial IoT technologies cannot be used in the underwater environment directly.…”

Skeletal Space Structure Systems: Select Areas of Opportunity to Achieve Sustainability in Construction

“…Finally, various aspects pertaining to the continuous health monitoring of the structure must be investigated. This includes a thorough investigation of the impact of water pressure, waves, etc., on automatic visual assessment techniques [38], using subsea LiDAR instruments [39], along with other smart underwater IoT (IoUT) instruments [40,41].…”