计算机与现代化Issue(12)：92-96,101,6.DOI:10.3969/j.issn.1006-2475.2016.12.019
ZigBee路由算法的改进及在智能家居中的应用
Improvement of ZigBee Routing Algorithm and Its Application in Smart Home
摘要
Abstract
A smart home environment monitoring system is proposed in this paper based on the ZigBee technology, namely the ARM-Linux is used as on-site control center, through the ZigBee network technology, the equipments of the intelligent home sys-tem consist of a tree topology. The real-time monitoring of the situation in the home is carried out through the sensor and CMOS camera on the terminal node. In addition to obtaining the environment parameters in the home, this system also needs to observe whether there is a stranger into the family or not through real-time monitoring. In the data transmission of traditional ZigBee single path routing, control packet overhead and network delay are relatively large. When the load is large, there will be problems such as network congestion, especially in the transmission of video information, the larger network transmission delay will not guarantee the quality of video service. Based on original ZigBee tree routing algorithm, we proposed a multipath routing algorithm:transmit-ting data between source node and coordinator node at the same time through multiple paths, effectively increases the data transmis-sion rate and the system throughput, and reduces transmission delay and data packet loss. In addition, the energy consumption of the nodes is balanced by pre-setting the node energy threshold, so that the failure of the whole network does not happen because of premature death. Experimental results show that the algorithm can effectively solve the problem of data loss and energy consumption in the home monitoring system, which can guarantee the transmission quality of the video, and prolong the network lifetime.关键词
ARM-Linux/ZigBee网络/树路由算法/多路径路由/能量阈值Key words
ARM-Linux/ZigBee network/tree routing algorithm/multipath routing/energy threshold分类
信息技术与安全科学引用本文复制引用
井娥林..ZigBee路由算法的改进及在智能家居中的应用[J].计算机与现代化,2016,(12):92-96,101,6.基金项目
国家自然科学基金青年科学基金资助项目(61101196) （61101196）
江苏省高校自然科学基金资助项目(14KJB510014) （14KJB510014）
泰州市工业支撑项目(TS201520) （TS201520）
