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基于多信道的能量高效传感器节点调度算法 被引量:2

Energy Efficient Sensor Node Scheduling Algorithm Based on Multiple Channels
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摘要 在无线传感器网络中,传统时分多址(TDMA)调度算法未考虑节点在不同状态间切换时所耗费的能量,缩短了网络生存时间。为此,提出一种基于接收端的时分多址时隙分配算法。时隙分配过程始于数据汇聚节点,以节点的数据量为偏移,父节点以自身的时隙为基础为其子节点分配时隙,以保证每个节点的传输活动满足连续接收-发送模式,并将节点的状态切换次数最小化为2次,降低节点能量消耗。采用优化的多信道分配机制,通过将节点时隙分派给不同信道,解决节点间时隙分配冲突问题,并实现时隙重用与信道数优化。仿真结果表明,在数据汇聚传感器网络中,与多跳TDMA和集中式TDMA调度算法相比,该算法节省了约10%的传感器网络能量,降低了数据汇聚时间。 In Wireless Sensor Network (WSN), traditional Time Division Multiple Address (TDMA) scheduling algorithm does not consider the energy of nodes switching between different states, and reduces the network survival time. In order to solve this problem, a receiver-based TDMA time slot assignment strategy is proposed. The process of slot allocation begins with the sink node, and the slots shifted according to the amount of data are assigned to children based on the slots owned by their parent. The objective is to assure that the nodes transmission meet the consecutive receive- transmit mode and to minimize the number of node' s state switching to 2. And the energy consumption of node is reduced. An optimized multi-channel assignment mechanism is used to resolve the collision of slot assignment by allocating time slot to different channel, and implement time slots reuse and optimize the number of channels. Simulation result shows that the algorithm conserves over 10% energy consumption and reduces data gathering time compared with multi-TDMA and centralized TDMA scheduling algorithm in WSN for data collection.
出处 《计算机工程》 CAS CSCD 北大核心 2015年第9期135-139,共5页 Computer Engineering
基金 河南省重点科技攻关计划基金资助项目(132102210246) 河南省科技攻关计划基金资助项目(13B510001) 河南省自然科学基金资助项目(14A510015)
关键词 无线传感器网络 能量消耗 多信道 调度算法 时隙 Wireless Sensor Network(WSN) energy consumption multiple channels scheduling algorithm time slot
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参考文献18

  • 1任丰原,黄海宁,林闯.无线传感器网络[J].软件学报,2003,14(7):1282-1291. 被引量:1709
  • 2Incel8 D, Ghosh A, Krishnamachari B, et al. Fast Data Collection in Tree-based Wireless Sensor Networks [ J ]. IEEE Transactions on Mobile Computing, 2012, 11 ( 1 ) : 86 -99. 被引量:1
  • 3Gnawali O, Fonseca R, Jamieson K, et al. CTP: An Efficient, Robust, and Reliable Collection Tree Protocol for Wireless Sensor Networks: J]. ACM Transactions on Sensor Networks,2013,10 ( 1 ) : 1-16. 被引量:1
  • 4张晓玲,梁炜,于海斌,封锡盛.无线传感器网络传输调度方法综述[J].通信学报,2012,33(5):143-157. 被引量:50
  • 5Zhao Wenbo, Tang Xueyan. Scheduling Sensor Data Collection with Dynamic Traffic Patterns E J :. IEEE Transactions on Parallel and Distributed Systems, 2013, 24(4) :789-802. 被引量:1
  • 6Niu Jianjun, Deng Zhidong. Distributed Self-learning Scheduling Approach for Wireless Sensor Network: J]. Ad Hoc Networks, 2013,11 ( 4 ) : 1276-1286. 被引量:1
  • 7Prashanth L A, Chatterjee A, Bhatnagar S. Two Time- scale Convergent Q-learning for Sleep-scheduling in Wireless Sensor Networks E J ]. Wireless Networks, 2014,20( 8 ) :2589-2604. 被引量:1
  • 8Pantazis N A,Vergados D J, Vergados D, et al. Energy Efficiency in Wireless Sensor Networks Using Sleep Mode TDMA Scheduling [ J ]. Ad Hoc Networks, 2009, 7(2) :322-343. 被引量:1
  • 9Luo Tie, Motani M, Srinivasan V. Energy-efficient Strategies for Cooperative Multichannel MAC Protocols : J ].IEEE Transactions on Mobile Computing ,2012,11 (4) :553- 566. 被引量:1
  • 10Liu Binghong, Jhang J Y. Efficient Distributed Data Scheduling Algorithm for Data Aggregation in Wireless Sensor Networks [ J :. Computer Networks, 2014, 65 : 73 -83. 被引量:1

二级参考文献106

  • 1吕俊,于全,汪李峰.移动Ad Hoc网络中基于TDMA的媒体访问控制技术[J].现代通信技术,2004(3):13-19. 被引量:1
  • 2柯欣,孙利民,吴志美.基于无线传感器网络汇聚传输实时性的分布式调度算法[J].通信学报,2007,28(4):44-50. 被引量:7
  • 3AKYILDIZ I F, SU W, SANKARASUBRAMANIAM Y, et al. Wire- less sensor networks: a survey[J] 393-422. Computer Networks, 2002, 38(4). 被引量:1
  • 4ESTRIN D, GOVINDAN R, HEIDEMANN J. Next century chal- lenges: scalable coordination in sensor networks[A]. Proc of ACM MOBICOM[C]. Seattie, USA, 1999. 263-270. 被引量:1
  • 5WEISER M. The computer for the twenty-first century[J]. Scientific American, 1991, 265(3): 94-104. 被引量:1
  • 6STANKOVIC J A. Research challenges for wireless sensor net- works[J]. SIGBED Review: Special Issue on Embedded Sensor Net- works and Wireless Computing, 2004, 1(2): 9-12. 被引量:1
  • 7CIDON I, SIDI M. Distributed assignment algorithms for multihop packet radio networks[J]. IEEE Transactions on Computers, 1989, 38(10): 1353-1361. 被引量:1
  • 8ZHU C, CORSON M S. A five-phase reservation protocol (FPRP) for mobile ad hoc networks[A]. Proc of IEEE Conference on Computer Communications (INFOCOM)[C]. San Francisco,USA,1998. 322-331. 被引量:1
  • 9RAMANATHAN R. A unified framework and algorithm for channel assignment in wireless networks[J]. Wireless Networks, 1999, 5(2): 81-94. 被引量:1
  • 10RAMANATHAN S, LLOYD E L. Scheduling algorithm for multihop radio networks[J]. IEEE/ACM Transactions on Networking, 1993, 1(2): 166-177. 被引量:1

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