Internet of Things coverage vulnerability repairing method based on reinforcement learning

Abstract

The invention discloses an Internet of Things coverage vulnerability repairing method based on reinforcement learning. The method comprises the following steps: (1) according to a target area monitoring coverage demand, establishing a network model; (2) establishing a network coverage model through the credible information coverage model, and calculating a coverage rate; (3) determining directional repair nodes of the vulnerability area by adopting a two-way selection method of minimum and shortest coordinate distances between vulnerability reconstruction points and movable nodes; and (4) training the directional repair node M-node by adopting a Q-Learning method, and repairing the vulnerability sub-grids until the coverage rate meets the requirement or the number of iterations reaches a set upper limit. According to the method, the global coverage rate after restoration is high, the spatial correlation of monitoring reconstruction points in a coverage target area is comprehensively mined from the perspective of information cooperation, movement of directional restoration nodes is guided by using a reward mechanism based on a reinforcement learning method, coverage vulnerability restoration is completed, energy consumption is reduced, restoration time is shortened, and the coverage rate is increased.

Description

technical field [0001] The invention belongs to the technical field of the Internet of Things, and more specifically relates to a method for repairing coverage vulnerabilities of the Internet of Things based on reinforcement learning. Background technique [0002] The Internet of Things coverage is the core technical issue of the development of the Internet of Things technology, and it is the basic requirement for the Internet of Things to meet the real-time and accurate collection of monitoring target information. Coverage holes caused by energy consumption, environmental factors, software defects, and other factors can greatly reduce IoT coverage, affecting the security and reliability of the network. The task of Internet of Things coverage vulnerability repair is to quickly identify the coverage vulnerabilities that appear suddenly, and repair the vulnerabilities at the fastest speed with the lowest possible energy consumption to meet the coverage requirements. Therefore...

AI Technical Summary

Problems solved by technology

Coverage holes caused by energy consumption, environmental factors, software bugs and other factors can greatly reduce IoT coverage, affecting the security and reliability of the network

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