A WSN layout design method for precise irrigation

Abstract

The invention discloses a precise irrigation WSN layout design method. The precise irrigation WSN layout design method comprises the following steps: surveying an irrigated area to obtain an irrigatedarea apex Ti coordinate; selecting a key monitoring point Pi in the irrigation monitoring area according to a planned communication line; setting an effective communication distance r<D> and an effective monitoring distance V<D> of a wireless sensing node according to the performance of a wireless communication module and the type of an irrigated crop; using an effective clustering method to findan arrangement point Si of a sensor according to the key monitoring point Pi, the irrigated area apex Ti coordinate, the effective communication distance r<D> and the effective monitoring distance V<D>; and judging whether a redundant arrangement point exists in the arrangement points Si or not according to a relationship between the effective communication distance r<D> and the effective monitoring distance V<D>. The precise irrigation WSN layout design method improves the node utilization while realizing effective coverage of the network and precise detection of the key monitoring point.

Description

technical field [0001] The invention relates to WSN layout setting in precision irrigation in the agricultural field, and in particular to a WSN layout design method for precision irrigation. Background technique [0002] Wireless Sensor Networks (WSN) is a wireless self-organizing network composed of a large number of tiny sensor nodes in a self-organizing manner. It is widely used in various fields, such as military, security monitoring, ecological environment monitoring, medical health, etc. In the field of irrigation, precise irrigation can be realized through WSN, which can save water and increase efficiency, which has attracted a lot of attention from scholars and engineers from various countries. [0003] However, due to the high-density deployment of WSN, there are serious network redundancy problems in the use process. At present, many scholars have studied the coverage optimization mechanism of WSN. For example, the particle swarm optimization algorithm is used to...

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Problems solved by technology

[0003] However, due to the characteristics of high-density deployment of WSN, there are serious network redundancy problems in the process of use. At present, many scholars have studied the coverage optimization mechanism of WSN.

For example, the particle swarm optimization algorithm is used to optimize the wireless sensor network coverage, but there is a problem that it is easy to fall into the local optimal solution. Later, someone proposed a wireless sensor network coverage optimization method based on the chaotic particle swarm algorithm. This method avoids the basic particle swarm The algorithm falls into the problem of local optimal solution prematurely, but the ensuing problem is that the computational complexity also increases

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