Sensor network coverage control method and sensor network coverage control system based on three-dimensional directed perception model

Abstract

The invention discloses a sensor network coverage control method and a sensor network coverage control system based on a three-dimensional directed perception model. In order to solve a problem of conventional coverage perception model of inability of meeting real three-dimensional physical environment, a three-dimensional directed perception model aiming at height information and coverage boundary condition are established, and a teaching phase and a learning phase of a teaching and learning optimization algorithm are improved, and at last, an improved algorithm is adopted to optimize an pitch angle and a deviation angle, and therefore the optimization of the sensor network coverage control is realized, and the coverage rate of the sensor network is improved.

Description

technical field [0001] The invention relates to the field of sensor monitoring, in particular to a sensor network coverage control method and system based on a three-dimensional directional perception model. Background technique [0002] At present, with the continuous advancement of my country's urbanization process and the accelerated development of Internet and information technology, the construction of smart cities has become an inevitable trend of sustainable development of modern cities. The primary task of realizing a smart city is to obtain all kinds of information, and the sensor network, as a "bridge" connecting the smart city, has become an indispensable and important tool for sensing the city. According to the prediction of the Ministry of Industry and Information Technology, the number of sensors connected to smart cities in the world will exceed 20 billion in 2026, and my country will reach 4 billion. For this reason, sensing city information through sensor n...

AI Technical Summary

Problems solved by technology

However, there are two main problems in the existing coverage control optimization technology: first, the simplification of the coverage-aware model

The current research is mainly on simplified two-dimensional directional perception models, which do not conform to the real three-dimensional physical environment, resulting in deviations between theoretical research and practical application of coverage perception models, which seriously affect the practicability of coverage control methods; second, existing applications Intelligent optimization algorithms such as genetic algorithm and particle swarm optimization algorithm for coverage control optimization are too simplified, and their solution accuracy and solution speed have a lot of room for improvement

Among them, the genetic algorithm is easy to fall into local optimum, while the convergence accuracy of the particle swarm optimization algorithm is not high

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