基于混沌变异粒子群的物种物联网监测技术研究

研究了各类生物物种及其生存环境的监测和保护物联网技术。针对已有的生物物种监测系统存在大规模监测数据冗余度高、汇聚融合粗糙、系统部署及维护较难等问题,提出了一种基于混沌变异粒子群的物联网物种监测技术。该技术根据监测区域内物种种类进行区分建立监测分簇,构建监测子系统,结合种群状态及其环境变化进行粒子变异操作,子系统间通过移动代理节点汇聚和转发数据,对全局数据实施混沌扰动以达到高精度数据挖掘和融合。此外,对于监测节点设计了高效和具有自判读功能模块,使系统具有自适应调节能力。仿真实验和数学分析表明,该技术对复杂物种监测实现了自适应维护和全局数据融合判读功能,有效改善了通信性能。

Application and research of plant species monitoring Internet of Things technology based on particle swarm with chaotic mutation

This paper researched the monitoring problem of the plant species based on Internet of Things.In view of massive monitoring data redundancy and high convergence,rough,system deployment and maintenance more difficult problems in the existed biological species monitoring system,this paper proposed a networking species monitoring technology based on the chaotic mutation particle swarm optimizatio.The technology,according to the monitoring region’s species to establish monitoring cluster,construct monitoring subsystem and implement particle mutation operation combined with the population status and environmental change.Subsystems aggregated and forwarded data by the mobile agent node,it had reached high precision data mining and fusion using data on global implementation of chaos.In addition,for monitoring node,it designed efficient interpretation function module,so that the system had adjustment capability.Simulation experiment and mathematical analysis show that,the technology achieves complex species monitoring system maintenance and global data fusion interpretation function,improves the communication performance.