Wireless sensor network optimization method for environment monitoring

Abstract

The invention provides a wireless sensor network optimization method for environment monitoring. The wireless sensor network optimization method can solve the problems of establishment and reconstitution of clusters including sensor nodes, cluster heads and aggregation nodes in a wireless sensor network on the basis of a genetic algorithm. The wireless sensor network optimization method includes the steps of introducing concepts of active nodes, common nodes and dormant nodes, comprehensively considering the requirements for connectedness restriction of a network, energy conservation and the like, calculating a fitness value of each node through a fitness function, selecting the node with the highest fitting value as the cluster head node, and achieving automatic switching of the nodes in the active state, in the common state and in the dormant state. The wireless sensor network optimization method can broaden network monitoring scope, improve utilization rate of network node energy in the environment monitoring, and greatly prolongs the service life of the network.

Description

technical field [0001] The invention relates to an environment monitoring-oriented wireless sensor network optimization method, which mainly adopts a genetic algorithm to solve the problem of cluster formation and reconstruction in the wireless sensor network, and belongs to the cross-technical application field of wireless sensor networks, artificial intelligence and environmental monitoring. Background technique [0002] Traditional environmental monitoring systems usually require the construction of corresponding infrastructure in the monitoring area and the long-term deployment of monitoring personnel. This monitoring method not only has high construction costs, a long construction period, and heavy follow-up maintenance work, but also the setting of monitoring stations is severely restricted by factors such as terrain, landform, and surrounding environment. This is very unfavorable for establishing an environmental monitoring network with wide coverage, low cost and rap...

AI Technical Summary

Problems solved by technology

This monitoring method not only has high construction costs, a long construction period, and heavy follow-up maintenance work, but also the setting of monitoring stations is severely restricted by factors such as terrain, landform, and surrounding environment.

Images