Energy source minimization arrangement method of radio-frequency energy capturing wireless sensor network based on particle swarm optimization

Abstract

The invention relates to an energy source minimization arrangement method of a radio-frequency energy capturing wireless sensor network based on particle swarm optimization. From the beginning of an initial state that the wireless sensor network does not have a radio-frequency energy source, the following two steps are executed repetitively: a new radio-frequency energy sending source is additionally deployed; and improvement of K energy source positions based on particle swarm optimization is carried out; when a new energy source is additionally deployed every time, the initial position, the initial speed and the optimal position of each particle are necessary to initialize; then, the energy source position optimal operation based on particle swarm optimization is executed; and, for each K value, if the optimal deployment of K energy positions satisfies capturing power requirements of all sensor nodes after improvement of the energy source positions based on particle swarm optimization is executed, the energy source minimization arrangement method is ended. The energy source minimization arrangement method of the radio-frequency energy capturing wireless sensor network based on particle swarm optimization provided by the invention is capable of effectively reducing the arrangement number of energy sources and saving the economical cost.

Description

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AI Technical Summary

Benefits of technology

This technology helps optimize placement of wireless sensors by optimizing their performance with specific frequencies used during operation. By repeatedly testing different combinations of these frequencies until they achieve maximum efficiency or reduce cost-effectiveness compared to traditional methods like placing multiple batteries at various locations within an area where monitoring occurs over time.

Problems solved by technology

Technological Problem: In order to optimize the deployment of sensors at different locations within a specific area while reducing interference between signals transmitted over multiple paths, we propose placing certain types of energy transducers close enough together along their pathways without causing them being too much affected on one another's performance.

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