An Optimal Allocation Method of Distributed Inference Nodes for Intelligent Environment

Abstract

The present invention proposes a method for optimizing distribution of distributed reasoning nodes used in an intelligent environment, including the following steps: S1, collecting sensor node information according to the intelligent environment, and calculating the sensor node information based on the activity types and accumulation rules collected by the sensor node set. The distance between the network activity types is classified, and then the sensor network inference network model is constructed respectively; S2, according to the sensor node position in the intelligent environment and the transmission adjacency edges formed between the sensor nodes, calculate the shortest distance between the sensor nodes distance and save its transmission path information; S3, evaluate the resource allocation and real-time performance of the sensor network, and optimize the distribution of inference nodes in the sensor network to each sensor node, thus forming an optimized distributed sensor network.

Description

technical field [0001] The invention relates to the field of computer software control, in particular to a distributed reasoning node optimization allocation method used in an intelligent environment. Background technique [0002] In recent years, with the popularization of artificial intelligence, people yearn for a convenient and fast lifestyle, and the concept of intelligent environment was born. The reason why the intelligent environment is intelligent is to use the rule reasoning of the production system, rely on the recognition of behavior patterns in the environment and some surrounding environmental factors, and match the rules with the factual data acquired by the sensor. Once the conditions of the rules When satisfied, the corresponding rules are triggered to act like human intelligence. However, rule reasoning in embedded devices in intelligent environments will also face two major problems: space and time: [0003] (1) Resource allocation problem: Due to the li...

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Problems solved by technology

[0003] (1) Resource allocation problem: Due to the limited storage resources and memory consumption of embedded devices, unreasonable allocation of reasoning work will lead to overloading of individual nodes while other nodes are idle, and insufficient utilization of node resources;

[0004] (2) Real-time problem: The transmission between sensor nodes is time-consuming. If the reasoning work is not allocated according to the current environment, it will lead to a delay in system response time, and the degree of intelligence is not enough.

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