Deterministic Deployment For Directional Sensor Nodes In The Plantation Environment

Wireless sensor network technology as front technology has gotten extensive solicitude in the smarter forestry to obtain information. For forest environment which includes various information, we need to use directional perceived nodes to obtain the complex data. It is the technical support of ensuring the normal work of the entire system to deploy the sensor nodes in the target area. Therefore, node deployment is the key research of intelligent sensing technology in forest field. Based on this, the directional perceived nodes were deployed on deterministic way, by analyzing the changes of perception ability perceived of probabilisitic sensing model in forest area, put forward deployment adjust strategy, in order to ensure seamless coverage and get the data integrity. The research results as follows:(1) According to the forest environment, determine the probabilisitic sensing model of directional node. Combined with the expression of probabilisitic sensing model in the ideal condition and the signal attenuation rule in forest environment, analyzed the influencing factors of the node sensing attenuation, determine the probability coefficient of directional sensor nodes in the forest.(2) According to the evaluation standard of deployment, comparing the different deterministic deployment, provide theoretical basis to choose deployment method in forest information monitoring. For the same area of forest environment, according to the coverage performance of directional sensor nodes, tiled deployment and circular deployment are selected to deploy the sensor nodes. When the perception is greater than 1.073rad (61.5°), the redundancy area of the circular way is less than tiled deployment. For the circular deployment, the specification algorithm is used to research the relationship between communication radius and sensing radius.(3) By adjusting the deployment and optimizing algorithm to enhance the coverage and improve the perception of the target area. Based on the analysis of probability sense problem in forest area to confirm the probability threshold. Virtual force algorithm, particle swarm optimization algorithm and the chaos particle swarm optimization algorithm are improved to adjust the deployment, makes there is no perceived blind area and minimal perceived probability is 82.7%,79.23% and 85.61%.In this paper, put forward two step complete monitoring target deployment method:initial deployment and deployment, to improve the perceived probability of detecting the area and achieve environmental data accurately, provide reference for the study of the noded deployment of wireless directional sensor network.