期刊文献+

WSNs中基于能量代价的最小权和支配集拓扑控制算法 被引量:11

Energy Cost Based Topology Control Algorithm of Minimum-Total-Weight Connected Dominating Set in WSNs
下载PDF
导出
摘要 该文针对无线传感器网络中最小连通支配集拓扑并非网络耗能最小拓扑的问题,定义由节点剩余能量,邻居个数和通信代价构建的能量代价函数综合反映支配节点的能量效率以及对降低网络整体能耗的贡献,进而以其作为拓扑权值,提出一种基于能量代价的最小权和连通支配集拓扑控制算法。算法选取局部最小权值节点担负支配任务,搭建整体权和最小的支配集,最小化网络整体能耗。实验结果表明,算法不仅具有节能的特点,还确保了通信链路的可靠性,有效延长了网络生命周期。 In this paper,defining energy cost function constructed by remain energy,neighborhood numbers and communication cost of nodes as topology weight to synthetically reflect the energy efficiency of dominator and the contribution of reduced whole energy consumption,an Energy Cost based topology control algorithm for Minimum-total-weight Connected Dominating Set (ECMCDS) is proposed to solve the problem that the energy consumption of minimum connected dominating set is not minimum. The algorithm locally selects the node with a low-weight undertaking dominating mission to construct minimum-total-weight dominating set,and minimums the total energy consumption of networks. The experimental results show that the algorithm not only has the energy saved characters,but also ensures the reliability of topology links and extends the network life-cycle efficiently.
出处 《电子与信息学报》 EI CSCD 北大核心 2010年第4期857-863,共7页 Journal of Electronics & Information Technology
关键词 无线传感器网络 拓扑控制 能量代价 最小权和连通支配集 Wireless sensor network Topology control Energy cost Minimum-total-weight connected dominating set
  • 相关文献

参考文献15

  • 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:1708
  • 2YAO Kung.Sensor Networking: Concepts, Applications, and Challenges[J].自动化学报,2006,32(6):839-845. 被引量:8
  • 3Zhao T, Cai W D, and Liu G. Topology control for wireless sensor networks[C]. 2007 IFIP International Conference on Network and Parallel Computing Workshops, NPC 2007. Dalian, China. Sep 18-21 2007: 343-348.
  • 4Jardosh S and Ranjan P. A survey: Topology control for wireless sensor networks[C]. International Conference on Signal Processing Communications and Networking, ICSCN 2008, Chennai, India, Jan 4-6 2008: 422-427.
  • 5Navid N and Christian B. Topology management for improving routing and network performances in mobile ad hoc networks[J]. Mobile Networks and Applications, 2004, 9(6): 583-594.
  • 6Ruan L, Du H W, and Jia X H, et al.. A greedy approximation for minimum connected dominating sets[J]. Theoretical Computer Science, 2004, 329(1): 325-330.
  • 7Qian J S and Sun Y J. Construction of distributed connected dominating sets in growth-bounded graphs[C]. 2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008, Singapore, Singapore, Jun 3-5 2008: 1430-1434.
  • 8唐勇,周明天.基于极大独立集的最小连通支配集的分布式算法[J].电子学报,2007,35(5):868-874. 被引量:21
  • 9Khaled A, Li X Y, and Wang Y, et al.. Geometric spanners for wireless ad hoc networks[J]. IEEE Transactions on Parallel and Distributed Systems, 2003, 14(4): 408-421.
  • 10Zhu J H, Li J Z, and Liu Y, et al.. Data-driven sleeping scheduling mechanism in sensor networks[J]. Computer Research and Development, 2008, 45(1): 172-179.

二级参考文献60

  • 1唐勇,周明天,张欣.无线传感器网络路由协议研究进展[J].软件学报,2006,17(3):410-421. 被引量:201
  • 2ALERT. http://www.altersystem.org.
  • 3Bonnet P, Gehrke J, Seshadri P. Querying the physical world. IEEE Personal Communication, 2000,7(5):10-15.
  • 4Noury N, Herve T, Rialle V, Virone G, Mercier E. Monitoring behavior in home using a smart fall sensor. In: Proceedings of the IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine and Biology. Lyon: IEEE Computer Society, 2000.607~610.
  • 5Sensor Webs. http://sensorwebs.jpl.nasa.gov/.
  • 6Shill E, Cho S, Ickes N, Min R, Sinha A, Wang A, Chandrakasan A. Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks. In: Proceedings of the ACM MobiCom 2001. Rome: ACM Press, 2001. 272-286.
  • 7Akyildiz I.F, Su W, Sankarasubramaniam Y, Cayirci E. Wireless sensor network: A survey. Computer Networks, 2002,38(4):393~422.
  • 8Asada G, Dong M, Lin TS, Newberg F, Pottle .G, Kaiser WJ, Marcy HO. Wireless integrated network sensors (WINS) for tactical information systems. In: Proceedings of the 1998 European Solid State Circuits Conference. New York: ACM Press, 1998. 15-20.
  • 9Sohrabi K, Pottie GJ. Performance of a novel self-organization protocol for wireless Ad hoc sensor networks. In: Proceedings of the IEEE 50th Vehicular Technology Conference. Amsterdam, 1999. 1222~1226.
  • 10Sinhua A, Chandrakasan A. Dynamic power management in wireless sensor network. IEEE Design and Test of Computer, 2001,18(2):62~74.

共引文献1734

同被引文献93

引证文献11

二级引证文献48

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