Task scheduling method for wireless sensor grid based on energy and communication overhead

Abstract

The invention discloses a task scheduling method for a wireless sensor grid based on energy and communication overhead and belongs to the technical field of communication. In the method disclosed by the invention, the task scheduling method of the wireless sensor grid is divided into the data acquisition stage of the wireless sensor grid and the data analysis and computation stage in the grid; a mode matching method based on pixel nerves is used in the wireless sensor grid, thereby reducing the computation task of nodes in the wireless sensor grid, effectively reducing the energy consumption of tasks such as node environment perception, data transmission, computation and the like, saving the energy of a power supply and prolonging the service life of the nodes; a genetic algorithm based on a duplication strategy is adopted in the grid; and according to the priority of a key task, the strategy of operation duplication is adopted, thereby effectively reducing the communication overhead among tasks and realizing that the operation is completed within the shortest time.

Description

technical field [0001] The invention relates to a grid task scheduling method, in particular to a wireless sensor grid task scheduling method based on energy and communication overhead. Background technique [0002] A wireless sensor network consists of a series of sensor nodes, each node has the ability of environment perception, data processing and wireless communication. The grid is used to solve the problem of coordinating resource sharing and collaboration in a dynamic, multi-institutional virtual environment. The core idea is the ability to negotiate resource sharing management in a group of participating nodes (resource providers and consumers). The resulting resource pools work together to solve some problems. A wireless sensor network is a network formed by physical and logical connections between sensors, while a grid is used for data management, computing management, information management and knowledge discovery management of sensor nodes and their sensing data....

AI Technical Summary

Problems solved by technology

Although the grid technology has attracted people's attention due to its high-performance computing power, the sensor nodes have the disadvantages of battery power supply, limited computing and storage capacity, and low communication bandwidth, which limits their processing and utilization of the obtained data.

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