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机构地区:[1]华北电力大学电气与电子工程学院,北京102206
出 处:《传感器与微系统》2013年第8期22-25,共4页Transducer and Microsystem Technologies
基 金:国家科技重大专项基金资助项目(2010ZX03006-005-01);中央高校基本科研业务费专项资金资助项目(12QX12)
摘 要:为解决用电信息采集的传感器网络拥塞问题,同时保证网络监测的逼真度,提出了一种基于多属性决策理论的拥塞控制算法。该算法有效结合用电信息采集系统的特点,忽略节点能量因素,将节点拥塞水平、距离原路径跳数及信道占用率作为选择下一跳节点的依据;基于多属性决策理论构建选择模型,根据节点综合度量值准确有效地选择下一跳节点,从而建立分流路径,缓解网络拥塞。实验结果表明:该算法使得网络吞吐量增加、传输延时降低,从而获得了良好的网络容量和实时性。In order to solve the problem of congestion in wireless sensor networks(WSNs) used for power user electric energy information acquisition and ensure monitoring fidelity of network at the same time,a congestion control algorithm based on theory of multiple attribute decision-making is proposed.The algorithm effectively combine features of power user electric energy information acquisition system,ignores node energy factor and considers the node congestion level,hop count,channel occupancy rate as basis for selecting next hop node.The algorithm builds selection model based on multiple attribute decision-making theory and accurately and effectively choose the next-hop node according to node comprehensive measurement values,so that the distributary path is established,and relieve network congestion.The experimental results show that the algorithm increase throughput of network and reduce transmission delay,so good network capacity and real-time can be obtained.
关 键 词:无线传感器网络 用电信息采集 多属性决策 拥塞控制 信道占用率 分流路径
分 类 号:TP212[自动化与计算机技术—检测技术与自动化装置]
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