摘要
研究了针对稀有和濒危植物物种进行监测和保护的问题。针对传统的濒危物种的植物监测系统监测数据粗略、硬件部署和维护成本高、难以自适应根据需求采集和判读各种类型数据信息以及监测数据实时、可靠传输性能较差问题,提出了一种基于多传感器网络的濒危物种的植物监测物联网技术。该技术将监测区域分为若干个不同的分簇,每个分簇采集、判读各种类型的植物监测数据,在监测区域内部署移动代理节点,采用基于能量感知的多路径路由协议选择最优路径和移动管理方案,将汇聚数据转发给控制中心。仿真实验和数学分析表明:该技术对濒危物种监测实现了远程数据判读和可靠实时数据传输,网络整体性能明显提高。
The monitoring and protection problem of the rare and endangered plant species is researched. In view of the traditional endangered species monitoring data of rough, hardware disposition and high maintenance cost, difficult to adaptively according to the needs of the various types of data acquisition and interpretation of infol^nation and monitoring data in real time, reliable transmission problem of poor performance,is proposed based on nmlti-sensor network of endangered species of plant monitoring internet of things technology. In the technique, the monitoring region is divided into a number of different clusters, each cluster acquires, judge and read various types of plant monitoring data, deploy mobile agent node in the region, multi-path routing protocol is used based on energy aware to select the optimal path and mobility management scheme, the gathered data is transmitted to the control center. Simulation experiment and mathematical analysis show that the technology realizes remote data interpretation and reliable real time data transmission of endangered species, monitoring improves the network overall performance effectively.
出处
《传感器与微系统》
CSCD
北大核心
2012年第3期85-88,91,共5页
Transducer and Microsystem Technologies
基金
国家科技部"863"计划资助项目(2003AA121130)
国家信息产业部电子信息发展基金资助项目(2004-42)
关键词
物联网
濒危物种
多传感器网络
节点部署
自适应
internet of things rare and endangered plant species multi-sensor networks
nodes deployment a-daptive