Optimization method of delay and energy consumption for edge computing of underwater acoustic communication for marine Internet of things

Abstract

The time delay and energy consumption optimization method of underwater acoustic communication edge computing for marine Internet of things involves marine Internet of things, edge computing and underwater acoustic communication. By introducing the concept of edge computing, the edge layer framework of the marine Internet of Things is designed, and the underwater nodes are divided into clusters. The cluster head CH node is set as the fog computing node, the autonomous underwater vehicle is the mobile edge computing node, and the surface buoy sink node is the micro-cloud computing Nodes together constitute the edge layer; according to task complexity and computing task delay sensitivity, computing tasks are classified; with computing task classification and node computing resources as constraints, the decision-making delay and system energy consumption are minimized The objective function is optimized, the computing tasks are offloaded to the CH node, AUV and Sink nodes respectively, the computing task offloading scheme is optimized, and the allocation of computing resources in the underwater acoustic communication network is planned more reasonably, so as to realize the edge computing-based underwater Acoustic communication delay and energy consumption optimization.

Description

technical field [0001] The present invention relates to marine Internet of Things and edge computing, in particular to a method for optimizing time delay and energy consumption of underwater acoustic communication edge computing for marine Internet of Things. Background technique [0002] Due to the rapid development of the Internet of Things and its good complementarity with cloud computing, edge computing has become an important research field. At present, edge computing is mostly used in the wireless electromagnetic wave communication field of the terrestrial Internet of Things, but there is little application research in the marine Internet of Things. Therefore, it is a very forward-looking research work to introduce edge computing into the marine Internet of Things. [0003] Underwater acoustic communication is the most robust technical means to realize data transmission in the ocean. In the marine Internet of Things with underwater acoustic communication as the main ...

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Problems solved by technology

However, this work is also based on the terrestrial wireless electromagnetic wave communication network, and does not take into account the characteristics and difficulties of the implementation of underwater acoustic communication in the marine Internet of Things

[0004] To sum up, in the related issues of the marine Internet of Things, the current research on edge computing is still in its infancy, and there is no related research on edge computing delay optimization strategies combined with the large delay characteristics of underwater acoustic channels.

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