期刊文献+

基于相对局部密度的三维节点调度算法 被引量:3

Node-based relative local density scheduling algorithm for three-dimensional wireless sensor networks
下载PDF
导出
摘要 针对目前大多数节点调度算法在冗余节点退避休眠过程中能耗大的问题,提出了一种基于相对局部密度的三维节点调度方法。算法定义了节点相对局部密度的概念,首先根据冗余法则判断节点是否冗余,然后根据节点的剩余能量和相对局部密度让冗余节点以概率竞争的方式休眠,从而避免了节点退避休眠的能耗。仿真实验表明基于相对局部密度的三维节点调度方法能在满足指定的覆盖率的前提下,降低节点的能耗,延长网络的生存时间。 In node scheduling algorithms in the back off dormancy process of redundant nodes, high energy consumptionis the problem to be addressed at present. A three-dimensional node scheduling method on the basis of relative local densityis proposed in this paper. The algorithm defines the concept of relative local density of nodes. It firstly determines whethera node is redundant according to the principle of redundancy, then puts the redundant node to sleep in the form of probabilisticcompetition according to residual energy and relative local density of the nodes, and thus avoids the energy consumptionof node back off dormancy. Simulation shows that the three-dimensional node scheduling method on the basis of relativelocal density, under the premise of meeting the specified coverage, can reduce the energy consumption of nodes andprolong the lifetime of network.
作者 党小超 蒲世强 郝占军 DANG Xiaochao;PU Shiqiang;HAO Zhanjun(College of Computer Science and Engineering, Northwest Normal University, Lanzhou 730070, China;Gansu Province Internet of Things Engineering Research Center, Lanzhou 730070, China)
出处 《计算机工程与应用》 CSCD 北大核心 2016年第20期132-137,共6页 Computer Engineering and Applications
基金 国家自然科学基金(No.61363059) 西北师范大学青年教师科研能力提升计划项目(No.NWNU-LKQN-13-24)
关键词 无线传感器网络 三维覆盖 节点调度 相对局部密度 wireless sensor networks three-dimensional coverage node-scheduling relative local density
  • 相关文献

参考文献15

  • 1Vecchio M,Lopez-Valcarce R,Marcelloni F.A two-objectiveevolutionary approach based on topological constraints for node localization in wireless sensor networks[J].Applied Soft Computing,2012,12(7):1891-1901.
  • 2Sert S A,Yazici A,Cosar A.Data fusion and processingin wireless multimedia sensor networks:an analysis forsurveillance applications[C].2014 22nd Signal Processingand Communications Applications Conference(SIU),2014:421-424.
  • 3Qu W,Wang J,Liu Z.An energy-efficiency coveragepreservingnode scheduling scheme in wireless sensornetworks[C].International Symposium on Computer Networkand Multimedia Technology,CNMT 2009,2009:1-4.
  • 4Al-kahtani M S.Cluster-based coverage-aware node schedulingscheme for mobile wireless sensor network[C].2013 IEEEEleventh International Symposium on Autonomous DecentralizedSystems(ISADS),2013:1-6.
  • 5Saravanakumar R,Susila S G,Raja J.An energy efficientcluster based node scheduling protocol for wireless sensornetworks[C].2010 10th IEEE International Conference onSolid-State and Integrated Circuit Technology(ICSICT),2010:2053-2057.
  • 6Shao J,Wang H,Qin X,et al.Sleeping node-schedulingprotocol for shadow fading environment in wireless sensornetworks[C].2012 8th International Conference on WirelessCommunications,Networking and Mobile Computing(WiCOM),2012:1-6.
  • 7Yen L H,Cheng Y M.Range-Based Sleep Scheduling(RBSS)for wireless sensor networks[J].Wireless Personal Communications,2009,48(3):411-423.
  • 8孙力娟,魏静,郭剑,肖甫,王汝传.面向异构无线传感器网络的节点调度算法[J].电子学报,2014,42(10):1907-1912. 被引量:17
  • 9凡高娟,王汝传,黄海平,孙力娟.基于容忍覆盖区域的无线传感器网络节点调度算法[J].电子学报,2011,39(1):89-94. 被引量:24
  • 10徐卫,刘端阳,暴占兵.基于剩余能量的可分负载WSN能耗均衡研究[J].计算机工程,2015,41(6):66-70. 被引量:4

二级参考文献63

共引文献63

同被引文献15

引证文献3

二级引证文献10

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部