An optimal deployment method for underwater sensor networks based on key target areas

Abstract

The invention provides an underwater sensor network optimized deployment method based on an important target region. The underwater sensor network optimized deployment method comprises two basic steps of construction of a water domain monitoring model and optimized deployment of an underwater sensor network: 1, constructing the important water domain monitoring model by using a main component analysis method; 2, implementing the optimized deployment of the whole network by using a weighted factor adjustment particle swarm optimization algorithm. According to the underwater sensor network optimized deployment method based on the important target region, by the construction of the important water domain monitoring model, the optimized deployment of the whole network can be realized, so that the problem about water quality monitoring of a complicated water domain can be flexibly and effectively solved.

Description

technical field [0001] The invention relates to the fields of environmental monitoring and sensor networks, in particular to research on an optimal deployment method for underwater sensor networks based on key target areas. Background technique [0002] Water quality monitoring is a scientific method to monitor and monitor the changing trend of water quality and the ins and outs of pollution. Due to the severe impact of domestic wastewater, industrial wastewater and harsh weather conditions on the water environment in recent years, the pollution levels of different water quality sections are different. We hope to monitor the seriously polluted areas in real time to ensure that the water quality information is comprehensive, true and reliable. In the actual water quality section monitoring system, the water quality parameters monitored by the sensor often include multiple indicators such as temperature, pH value, total nitrogen, total phosphorus, turbidity and permanganate in...

AI Technical Summary

Problems solved by technology

The traditional water quality section monitoring system generally adopts the method of deploying sensors on a large scale, which is fast but difficult to place the sensor nodes in a suitable position at one time, and it is easy to form perception overlapping areas and blind areas

Another way is to divide the monitored water area into grids of fixed size, and arrange measurement points at the center of each grid. This method is simple and easy, but it often leads to similar water quality monitoring results in adjacent sections. cause waste of monitoring resources

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