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计算机工程 ›› 2013, Vol. 39 ›› Issue (4): 18-21,31. doi: 10.3969/j.issn.1000-3428.2013.04.005

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WSN中一种自适应功率控制及调度算法

张 震1,2,石志东1,单联海2,3,周 洁1,2,房卫东1,4   

  1. (1. 上海大学通信与信息工程学院,上海 200072;2. 上海无线通信研究中心,上海 200335; 3. 上海物联网有限公司,上海 201800; 4. 中国科学院上海微系统与信息技术研究所无线传感网与通信重点实验室,上海 200050)
  • 收稿日期:2012-05-22 出版日期:2013-04-15 发布日期:2013-04-12
  • 作者简介:张 震(1986-),男,硕士研究生,主研方向:无线传感器网络,MAC协议,路由协议;石志东,研究员、博士生导师;单联海,博士;周 洁,硕士研究生;房卫东(通讯作者),高级工程师、博士研究生
  • 基金资助:

    上海市科技创新行动计划基金资助项目(11511502300, 11DZ0512500);中科院仪器设备功能开发技术创新基金资助项目(YG2010060)

An Adaptive Power Control and Scheduling Algorithm in WSN

ZHANG Zhen 1,2, SHI Zhi-dong 1, SHAN Lian-hai 2,3, ZHOU Jie 1,2, FANG Wei-dong 1,4   

  1. (1. School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China; 2. Shanghai Research Center of Wireless Communications, Shanghai 200335, China; 3. Shanghai Internet of Things Co., Ltd., Shanghai 201800, China; 4. Key Laboratory of Wireless Sensor Network and Communication, Shanghai Institute of Micro-system and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China)
  • Received:2012-05-22 Online:2013-04-15 Published:2013-04-12

摘要:

在低功耗自适应分簇算法中,无线传感网(WSN)的簇成员节点由于簇首时分复用调度的相互独立性会产生簇间干扰,并且还存在发射功率浪费的现象。为此,提出一种自适应功率控制及调度算法,在基站的辅助下,簇首通过监听邻居簇首调度及功率等级表来自适应地安排簇内节点的发射功率级和时隙。仿真结果表明,该算法能降低50%的簇间干扰,减小功率浪费。

关键词: 无线传感网, 簇间干扰, 自适应功率控, 锚簇首, 时分复用调度

Abstract:

The inter-cluster interference and transmission power wasting exist in the Low Energy Adaptive Clustering Hierarchy(LEACH) protocol because of the independence of Time Division Multiple Access(TDMA) scheduling between neighbor cluster-heads. This paper proposes an Adaptive Power Control and Scheduling(APCAS) algorithm based on sink node to reduce the energy wasting and inter-cluster interference through monitoring Scheduling and Power Level(SAPL) table of neighbor cluster-head by the cluster-head to arrange adaptively the SAPL table. Simulation results show that this algorithm can effectively reduce inter-cluster interference by 50 percent and the power wasting.

Key words: Wireless Sensor Network(WSN), inter-cluster interference, adaptive power control, anchor cluster head, Time Division Multiple Access(TDMA) scheduling

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