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低占空比无线传感器网络中节点自适应休眠机制
引用本文:汪金龙,曾艳阳,侯桂云,陈桂英.低占空比无线传感器网络中节点自适应休眠机制[J].沈阳工业大学学报,2019,41(4):412-416.
作者姓名:汪金龙  曾艳阳  侯桂云  陈桂英
作者单位:1. 郑州工商学院 机械与电信工程学院, 郑州 451400; 2. 河南理工大学 计算机科学与技术学院, 河南 焦作 454000
基金项目:国家自然科学基金资助项目(61503124);河南省高等学校重点科研项目(16A120014)
摘    要:针对低占空比WSN网络存在着能量消耗不均、网络工作时长等问题,提出一种节点自适应休眠算法.该算法能够根据无线链路状况,自适应地调度节点休眠时隙和工作时隙,保证在时延约束条件下网络的整体能耗最小.在自适应休眠机制加入能量感知,使无线路由根据节点的剩余能量自适应调整,均衡各节点能耗,提升WSN网络的工作时长.经仿真分析发现,该算法能够在满足传输时延的同时,有效地减少工作时隙并降低能耗,从而提升网络的工作周期.

关 键 词:无线传感器网络  低占空比  自适应休眠  能量感知  无线节点  休眠时隙  工作时隙  剩余能量  

A node self-adaptive sleeping mechanism in low-duty-cycle wireless sensor networks
WANG Jin-long,ZENG Yan-yang,HOU Gui-yun,CHEN Gui-ying.A node self-adaptive sleeping mechanism in low-duty-cycle wireless sensor networks[J].Journal of Shenyang University of Technology,2019,41(4):412-416.
Authors:WANG Jin-long  ZENG Yan-yang  HOU Gui-yun  CHEN Gui-ying
Affiliation:1. College of Mechanical and Telecommunication Engineering, Zhengzhou Technology and Business University, Zhengzhou 451400, China; 2. College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454000, China
Abstract:Focused on the problem of unbalanced energy consumption and long network serving time in low-duty-cycle wireless sensor networks(WSN), a node self-adaptive sleeping algorithm was proposed. According to wireless linking condition, this algorithm could self-adaptively schedule sleeping time slots and working time slots, and guaranteed that the overall energy consumption of network was minimal under the delay constraint condition. Moreover, energy awareness was added to the self-adaptive sleeping mechanism to self-adaptively adjust wireless routing, according to the residual energy of nodes. The energy consumption of each node was balanced, and the working time of WSN was prolonged. Simulation analysis show that the as-proposed algorithm can effectively reduce the working time slots and the energy consumption to improve the working cycle of network when meeting the requirement for transmission delay in the meantime.
Keywords:wireless sensor network  low-duty-cycle  self-adaptive sleeping  energy awareness  wireless node  sleeping time slot  working time slot  residual energy  
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