期刊文献+

基于无线传感器网络的分布式时分多址调度策略 被引量:2

Distributed time division multiple access scheduling strategy for wireless sensor networks
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摘要 针对周期汇报型无线传感器网络(WSN)中数据量大而导致的无线信号冲突概率高的问题,提出了一种分布式的时分多址调度策略(DTSS)。该策略采用了一种分布式的竞争算法来构建节点的时隙调度表,即每个节点根据自身搜集到的信息来决定下一跳目的节点,并和其他节点竞争传输时隙。所有节点完成时隙调度表的建立后,节点在每个数据采集周期根据自己的工作时隙调度表发送和接收数据。仿真结果表明,该策略避免了节点无线信号的冲突,降低了节点能耗,延长了网络生命周期。 In a periodic report Wireless Sensor Network (WSN), heavy data traffic very easily leads to serious transmission collisions. This paper proposed a distributed Time Division Multiple Access (TDMA) scheduling strategy, called DTSS, to construct an appropriate transmission schedule that avoided transmission collisions. DTSS took advantage of a distributed competitive algorithm to build the transmission schedule. Each node selected its next-hop forwarding node and competed for a transmission time slot with its contending nodes. After the construction of the schedule, the nodes sent and received the data according to the schedule. The simulation results confirm DTSS avoids transmission collisions, decreases the energy consumption of nodes and significantly improves the network lifetime.
出处 《计算机应用》 CSCD 北大核心 2014年第1期8-12,共5页 journal of Computer Applications
基金 中国博士后基金资助项目(2013M542289) 国家社会科学基金资助项目(13BZJ032) 西南民族大学中央高校基本科研业务费资助项目(13NZYTD02 13NZYQN19 11NZYQN27) 西南民族大学教改项目(2013ZC60)
关键词 无线传感器网络 分布式 调度算法 数据采集 周期汇报 Wireless Sensor Network (WSN) distributed scheduling algorithm data gathering periodic report
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参考文献12

  • 1王辛果,张信明,陈国良.时延受限且能量高效的无线传感网络跨层路由[J].软件学报,2011,22(7):1626-1640. 被引量:40
  • 2NAMBOODIRI V,KESHAVARIZIAN A. Alert:an adaptive low-latency event-driven MAC protocol for wireless sensor networks[A].Washington,DC:IEEE Computer Society,2008.159-170.
  • 3YE W,HEIDEMANN J,ESTRIN D. An energy-efficient MAC protocol for wireless sensor networks[A].Piscataway,N J:IEEE Press,2002.1567-1576.
  • 4van DAM T,LANGENDOEN K. An adaptive energy-efficient MAC protocol for wireless sensor networks[A].{H}New York:ACM Press,2003.171-180.
  • 5刘安丰,徐娟,陈志刚.无线传感器网络能量均衡消耗的TDMA调度算法[J].计算机研究与发展,2010,47(2):245-254. 被引量:13
  • 6郑国强,李建东,周志立.多跳无线传感器网络的高能效数据收集协议[J].软件学报,2010,21(9):2320-2337. 被引量:18
  • 7MAO J,WU Z,WU X. A TDMA scheduling scheme for many-toone communications in wireless sensor networks[J].{H}Computer Communications,2007,(04):863-872.
  • 8SHI L,FAPOJUWO A O. TDMA scheduling with optimized energy efficiency and minimum delay in clustered wireless sensor networks[J].IEEE Transactions on Mobile Computing,2010,(07):927-940.
  • 9PANTAZIS N A,VERGADOS D J,VERGADOS D D. Energy efficiency in wireless sensor networks using sleep mode TDMA scheduling[J].Ad Hoc Networks,2009,(02):322-343.
  • 10KULKARNI S,IYER A,ROSENBERG C. An address-light,integrated MAC and routing protocol for wireless sensor networks[J].{H}IEEE/ACM Transactions on Networking,2006,(04):793-806.

二级参考文献42

  • 1朱红松,孙利民,徐勇军,李晓维.基于精细化梯度的无线传感器网络汇聚机制及分析[J].软件学报,2007,18(5):1138-1151. 被引量:20
  • 2Shashidhar Gandharn, Zhang Ying, Huang Qingfeng. Distributed time-optimal scheduling for convergecast in wireless sensor networks[J]. Computer Networks, 2008, 52(2): 610-629.
  • 3Zhang Hongwei, Arora Anish, Choi Youngri, et al. Reliable bursty convergeeast in wireless sensor networks [J]. Computer Communications, 2007, 30(13): 2560-2576.
  • 4Ray S, Carruthers J B, Starobinski D. RTS/CTS-induced congestion in ad hoe wireless LANs[C] //Proc Wireless Communications and Networking Conference (WCNC). Piscataway, NJ: IEEE, 2003:1516-1521.
  • 5Sinem Coleri Ergen, Pravin Varaiya. TDMA scheduling algorithms for sensor networks [R] . Berkeley: Department of Electrical Engineering and Computer Sciences, University of California, 2005.
  • 6Choi H, Wang J U, Esther A Hughes. Scheduling on sensor hybrid Network[C] //Proc of IEEE ICCCN. Piseataway, NJ: IEEE, 2005:503-508.
  • 7Florens C, McElieee R. Packets distribution algorithms for sensor networks [C]//Proc of IEEE INFOCOM 2003. Piscataway, NJ: IEEE, 2003: 1063-1072.
  • 8Ashraf Hossain, Radhika T, Chakrabarti S, et al. An approach to increase the lifetime of a linear array of wireless sensor nodes [J]. International Journal of Wireless Information Networks, 2008, 15(5): 72-81.
  • 9Shashidhar Gandham, Zhang Ying, Huang Qingfeng. Distributed minimal time convergeeast scheduling in wireless sensor networks [C] //Proc the 26th Int Conf on Distributed Computing Systems (ICDCS). Washington: IEEE Computer Society, 2006:50-57.
  • 10Shelby Z, Pomalaza-Raez C, Karvonen H, et al. Energy optimization in multihop wireless embedded and sensor networks [J]. International Journal of Wireless Information Networks, 2005, 12(1): 11-21.

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