基于改进ZigBee路由算法的温室大棚在线监测系统
发布时间：2018-09-16 22:09
【摘要】：为实现温室大棚的智能化和实时监测的目的,结合ZigBee技术,设计了一种基于ZigBee技术的温室大棚远程监测方案。由于ZigBee树型路由算法存在路径选择不优的问题,进一步提出一种适用于温室大棚实时监测系统的ZigBee路由优化算法。该算法并不特定选择下一跳节点,而是根据一跳范围内邻居节点到目的节点的剩余跳数这一优先权来限制剩余跳数较多的邻居节点作为被选节点,从而降低节点转发跳数,提高系统的实时性。多次仿真结果表明,改进算法在节点跳数、端到端的延时及可靠性方面均有一定程度的改善。
[Abstract]:In order to realize the purpose of intelligent and real-time monitoring of greenhouse, a remote monitoring scheme of greenhouse based on ZigBee technology was designed based on ZigBee technology. Due to the problem of poor path selection in ZigBee tree routing algorithm, a ZigBee routing optimization algorithm for greenhouse real-time monitoring system is proposed. The algorithm does not specifically select the next hop node, but according to the priority of the neighbor node to the destination node in one hop range, it limits the neighbor node with more remaining hops as the selected node, thus reducing the number of forwarding hops. Improve the real-time performance of the system. The simulation results show that the improved algorithm can improve node hops, end-to-end delay and reliability to some extent.
【作者单位】： 东北电力大学信息工程学院;国网吉林省电力有限公司;
【基金】：国家自然科学基金(编号:51277023)
【分类号】：S625;TP274
本文编号：2244980
[Abstract]:In order to realize the purpose of intelligent and real-time monitoring of greenhouse, a remote monitoring scheme of greenhouse based on ZigBee technology was designed based on ZigBee technology. Due to the problem of poor path selection in ZigBee tree routing algorithm, a ZigBee routing optimization algorithm for greenhouse real-time monitoring system is proposed. The algorithm does not specifically select the next hop node, but according to the priority of the neighbor node to the destination node in one hop range, it limits the neighbor node with more remaining hops as the selected node, thus reducing the number of forwarding hops. Improve the real-time performance of the system. The simulation results show that the improved algorithm can improve node hops, end-to-end delay and reliability to some extent.
【作者单位】： 东北电力大学信息工程学院;国网吉林省电力有限公司;
【基金】：国家自然科学基金(编号:51277023)
【分类号】：S625;TP274
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