无线传感器网络不依赖位置信息的能耗均衡拓扑控制

发布时间：2018-04-19 02:22

本文选题：无线传感器网络 + 拓扑控制　；参考：《计算机应用》2014年04期

【摘要】：针对无线传感器网络(WSN)稠密部署的特点,首先提出一种不依赖位置信息的拓扑构建(LTC)算法用于构造连通支配树型结构的虚拟骨干网。在此基础上,深入分析骨干节点的能量消耗以及数据传输时延,引入密度控制与数据传输率控制因子以均衡虚拟骨干网能耗,提出了不依赖位置信息的能耗均衡拓扑控制(LETC)算法。LETC算法依据各个区域不同的数据传输量,调整该区域虚拟骨干节点的布置密度,同时增加低能耗节点的传输速率以减少网络时延。理论分析与仿真表明,经过优化的LETC算法相比LTC能够更有效地均衡能耗,延长网络寿命24.1%,减少时延28.1%。
[Abstract]:According to the characteristics of dense deployment of wireless sensor networks (WSNs), a topologically independent LTC-based algorithm is proposed to construct a virtual backbone network with a connected dominating tree structure.On this basis, the energy consumption and data transmission delay of backbone nodes are deeply analyzed, and the density control and data transmission rate control factors are introduced to balance the energy consumption of virtual backbone network.In this paper, an energy consumption equalization topology control algorithm is proposed, which does not depend on position information. LETC algorithm adjusts the layout density of virtual backbone nodes according to the different data transmission amount in each region.At the same time, the transmission rate of low energy consumption nodes is increased to reduce the network delay.Theoretical analysis and simulation show that compared with LTC, the optimized LETC algorithm can balance energy consumption more effectively, prolong the network life by 24.1g and reduce the delay by 28.1.
【作者单位】：南京工业大学电子与信息工程学院;高维信息智能感知与系统教育部重点实验室(南京理工大学);
【基金】：国家自然科学基金资助项目(60673185,61073197) 江苏省自然科学基金资助项目(BK2010548) 江苏省科技支撑计划(工业)项目(BE2011186) 江苏省普通高校研究生科研创新计划项目(CXLX11_0262) 江苏省六大高峰人才基金资助项目(第八批)
【分类号】：TN929.5;TP212.9

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