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基于视觉相关性的无线多媒体传感器网络节能策略

Energy Conservation Strategy for Wireless Multimedia Sensor Networks Based on Visual Correlation

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【作者】 杨晓陶闻英友陈继洋赵宏

【Author】 YANG Xiao-tao;WEN Ying-you;CHEN Ji-yang;ZHAO Hong;School of Computer Science & Engineering,Northeastern University;State Key Laboratory of Software Architecture,Neusoft Corporation;The Episcopal School of Texas;

【机构】 东北大学计算机科学与工程学院东软集团软件架构新技术国家重点实验室德克萨斯主教学校

【摘要】 针对资源受限的纯相机无线多媒体传感器网络的能量消耗问题,改进了视觉相关性算法,并提出了一种新颖的基于视觉相关性的完全分布式节能策略.首先,根据视觉相关性系数算法计算相机的视觉相关性系数向量;其次,利用视觉相关性系数向量得到相机的竞争筹码并以此确定相机的角色;然后,运行两个并行且相互交互的操作:簇头相机根据簇头权重向量确定下一跳并完成路由建立;非簇头相机计算亲密度向量并且得到自己的簇ID.最后,实验结果表明本文提出的节能策略能有效地延长资源受限无线多媒体传感器网络的生命周期.

【Abstract】 In order to reduce the energy consumption in resource-constrained homogeneous camera wireless multimedia sensor networks( WMSNs),the visual correlation algorithm was developed and a novel fully distributed energy conservation strategy based on the developed visual correlation algorithm was proposed. Firstly,the visual correlation vector was calculated by the visual correlation algorithm. Then,the competition chips were obtained by applying the visual correlation vector,thus the role of camera was determined. After that,two parallel and interactive operations were executed: the cluster head nodes determine its own next-hop and establish the route according to the weight vector; the non-cluster head nodes obtain its own cluster ID by calculating the intimacy vector. Finally, experimental results demonstrate that the proposed strategy can effectively prolong the network lifetime in resource-constrained wireless multimedia sensor networks.

【基金】 国家高技术研究发展计划项目(2015AA016005);国家自然科学基金资助项目(61402096,61173153,61300196)
  • 【文献出处】 东北大学学报(自然科学版) ,Journal of Northeastern University(Natural Science) , 编辑部邮箱 ,2018年05期
  • 【分类号】TN919.8;TP212.9
  • 【被引频次】2
  • 【下载频次】64
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