Method for fusing sensor grid data based on grid clustering

Abstract

The invention discloses a method for fusing sensor grid data based on grid clustering, which comprises the following steps: allocating tasks to all sensor nodes of each wireless sensor network, and then running an adaptive genetic algorithm based on the grid clustering in each wireless sensor network; according to perceptive data of all the sensor nodes, finding out an optimal sensor node and then finding out an optimal fusing routing with the minimum communication cost; primarily fusing data by a mobile agent along the optimal fusing routing and then sending the primarily fused result to nodes of convergent points of the network; and adopting an adaptive weighted fusion algorithm by a grid layer to carry out deep fusion on the data so as to obtain the final fused result which is providedfor a user for making decisions. The method can be applied to a sensor grid environment and is used to process the data sufficiently so as to obtain the good fused result. The grid is used for deeplyfusing the data, thus reducing energy consumption of the wireless sensor networks and prolonging the service life of sensor grids.

Description

technical field [0001] The invention relates to the technical field of combining grid computing and wireless sensor networks, in particular to a data fusion method based on grid clustering in sensor grids. Background technique [0002] Grid computing (Grid Computing) is an important information technology emerging internationally in recent years, and it is called the IT technology infrastructure of the 21st century. Grid is essentially a distributed computing system to achieve a high degree of resource sharing. It exists in the form of a virtual organization, and users or computing resources can voluntarily join or withdraw from the virtual organization through the network. [0003] Wireless sensor network (Wireless Sensor Network, WSN) is an autonomous measurement and control network system composed of a large number of small, low-cost sensor nodes with sensing, data processing and wireless communication capabilities through self-organization. Acquisition and processing te...

AI Technical Summary

Problems solved by technology

So far, scholars have proposed many algorithms related to wireless sensor network data fusion, in order to process, analyze and store the massive data collected by a large number of sensor nodes, obtain fused data, and pass these fused data to grid users as shared resources. For user decision-making, but these traditional network data fusion algorithms are not well suited for sensor grids

This is because the sensor grid and wireless sensor network are two very different networks, both of which are different in physical layer, communication protocol, application protocol and other aspects; at the same time, the sensor grid itself is dynamic, allowing WSN Joining and withdrawing, all kinds of errors may cause the abnormal execution of grid tasks, or even the collapse of the entire system

Images