基于网格的移动无线传感网生存时间优化算法

发布时间：2018-03-19 12:52

本文选题：移动无线传感网　切入点：网络生存时间　出处：《电子与信息学报》2014年10期 　论文类型：期刊论文

【摘要】：为克服陆地静态无线传感网和水下无线传感网因节点能耗分布不均衡而出现的能量空穴问题,和具有单一移动Sink节点的无线传感网数据收集时延过长问题,该文提出基于网格的移动无线传感网生存时间优化算法(Grid-based Lifetime Optimization Algorithm,GLOA)。GLOA算法考虑多个Sink节点的移动,将监测区域分成多个大小相同的网格。根据网格潜能值确定Sink节点移动的锚点,将锚点分配给不同的Sink节点,建立路径选择优化模型并获得Sink节点的最短移动路径,采用移动收集方法或静态收集方法循环收集数据。仿真结果表明:与Ratio_w或TPGF算法相比,GLOA算法能延长网络生存时间,降低和均衡节点能耗。与LOA_SMSN算法相比,GLOA算法能降低数据收集时延。在一定的条件下,比Ratio_w,TPGF和LOA_SMSN算法更优。
[Abstract]:In order to overcome the energy hole problem in terrestrial static wireless sensor network and underwater wireless sensor network due to the unbalanced distribution of energy consumption of nodes, and the problem of long time delay of data collection in wireless sensor network with single mobile Sink node, In this paper, a grid-based Lifetime Optimization algorithm named Grid-based Lifetime Optimization algorithm is proposed to optimize the lifetime of mobile wireless sensor networks. Considering the movement of multiple Sink nodes, the monitoring area is divided into several meshes of the same size. The anchor points of Sink nodes are determined according to the grid potential. The anchor points are assigned to different Sink nodes, the path selection optimization model is established and the shortest moving path of the Sink node is obtained. The simulation results show that compared with the Ratio_w or TPGF algorithm, the Gloa algorithm can prolong the network lifetime. Compared with the LOA_SMSN algorithm, the Gloa algorithm can reduce the delay of data collection. Under certain conditions, it is better than the RatioSnap-TPGF and LOA_SMSN algorithms.
【作者单位】：浙江树人大学信息科技学院;杭州中威电子股份有限公司;
【基金】：浙江省自然科学基金(LY14F030006,LY13F010013,LQ12F03014) 浙江省教育厅(Y201330053)资助课题
【分类号】：TP212.9;TN929.5

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