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QoS Adaptive Topology Configuration in Synchronous Wireless Sensor Networks 被引量:1

QoS Adaptive Topology Configuration in Synchronous Wireless Sensor Networks
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摘要 By using hyper-graph theory,this paper proposes a QoS adaptive topology configuration(QATC) algorithm to effectively control large-scale topology and achieve robust data transmitting in synchronous wireless sensor networks.Firstly,a concise hyper-graph model is abstracted to analyze the large-scale and high-connectivity network.Secondly,based on the control theory of biologic "Cell Mergence",a novel self-adaptive topology configuration algorithm is used to build homologous perceptive data logic sub-network for data aggregation.Compared with Flooding,Directed Diffusion,and Energy Aware Directed Diffusion protocols,the simulation proved that QATC algorithm can save more energy,e.g.,about 23.7% in a large size network,and has less delay than the other algorithms.In dynamic experiments,QATC keeps a robust transmitting quality with 10%,20% and 30% random failure nodes. By using hyper-graph theory,this paper proposes a QoS adaptive topology configuration(QATC) algorithm to effectively control large-scale topology and achieve robust data transmitting in synchronous wireless sensor networks.Firstly,a concise hyper-graph model is abstracted to analyze the large-scale and high-connectivity network.Secondly,based on the control theory of biologic 'Cell Mergence',a novel self-adaptive topology configuration algorithm is used to build homologous perceptive data logic sub-network ...
出处 《Transactions of Tianjin University》 EI CAS 2010年第5期354-358,共5页 天津大学学报(英文版)
基金 Supported by National Natural Science Foundation of China (No.60702037) Specialized Research Fund for Doctoral Program of Higher Education of China (No.20070056129) Natural Science Foundation of Tianjin (No.09JCYBJC00800)
关键词 无线传感器网络 QOS 拓扑学 同步网络 wireless sensor network QoS topology synchronous network
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  • 1杨挺,孙雨耕,杨郁.无线传感器网络中一种节省资源的快速重路由算法[J].传感技术学报,2005,18(3):445-448. 被引量:14
  • 2Wang A,Heinzelman W B,Sinha A,et al.Energy-scalable protocols for battery-operated microsensor networks[ J ].Journal of VLSI Signal Processing,2001,29 (3):223-237.
  • 3Raviraj P,Sharif H,Hempel M,et al.An energy-efficient MAC approach for mobile wireless sensor networks[ C ]//Proceedings of IEEE International Conference on Computer Systems and Applications.Dubai/Sharjah,UAE,2006:565-570.
  • 4Forde T K,Doyle L E,O'Mahony D.Ad hoc innovation:Distributed decision-making in ad hoc networks[ J ].Communications Magazine,2006,44 (4):131-137.
  • 5Garbinato B,Rupp P.From ad hoc networks to ad hoc applications[ C ]//Proceedings of the 7th International Conference on ConTEL 2003.Zagreb,Croatia,2003:145-149.
  • 6Fan Zuzhi,Yu Qingchun,Zhou Huaibei.Mixed type logical topology for wireless sensor networks[ C]//Proceedings of the 2005 International Conference on Wireless Communications,Networking and Mobile Computing.Wuhan,China,2005:939-942.
  • 7Ali Sarrafi,Mohammad Hamed Firooz,Mahmoud Kamarei.A hybrid algorithm for topology optimization in wireless sensor networks[ C ]// Proceedings of International Conference on Software in Telecommunications and Computer Networks.Split,Croatia,2006:121-126.
  • 8Estrin D.Tutorial "wireless sensor networks" (Part Ⅳ):Sensor network protocols[ C ]//Proceedings of the ACM Mobile Computing and Networking.Atlanta,USA,2002:23-28.
  • 9Deb B,Bhatnagar S,Nath B.A Topology Discovery Algorithm for Sensor Networks with Application to Network Management[ R ].New Jersey:Rutgers University,2001.
  • 10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

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  • 1Wang,Yunbo Vuran.Mehmet C. Goddard,steve cross-layer analysis of the end-to-end delay distribution in wireless sensor network[J]. IEEE/ ACM Transactions on Networking ,2012,20(1) :3Q5-318.
  • 2Ayil diz I F,Melodia T,Chowdhury K R. A survey on wire-less multimedia sensor net-works[ J]. Computer Network,2007,51(4); 921-960.
  • 3Sri devi, Usha S, M. Li thurin, G. Pauline amertha priority based congestion control for heterogeneous traffic in multipath wireless sensor networks[M]. International Conference on Computer Communication and Informatics,2012:1-5.
  • 4Ee C T,Jcsy R B. Congestion control and fairness for many-to-one networks routing in Sensor[C]. Proceedings of the ACM SenSys, November,2004:148-161.
  • 5Srinivasan G,Murugappan S. A survey of congestion control techniques in wireless sensor networks [ J ]. International Journal of Information Technology and Knowledge Management ,2011,4(2) :413-415.
  • 6Monowar M M, Rahman M O, Hong C S. Multipath congestion control for heterogeneous traffic in wireless sensor network [ M ]. Advanced Communication Technology,2008:1711 -1715.
  • 7Xu Yin-sheng,Ren Feng-yuan,He Tao,et al. Building a potential field to provide real-time transmission in wireless sensor network [ C ]. Proceedings of the 13 th ACM International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systems, 2010:403410.
  • 8Cobo L,Quintero A,Pierre S. Ant-based routing for wireless multi-media sensor networks using multiple QoS metrics [ J ]. Computer networks,2010,54(17) :2991-3010.
  • 9Chen G,Li C,Ye M,et al. An unequal cluster-based routing protocol in wireless sensor networks [ J]. Wireless Networks, 2009,15 (2) : 193-207.
  • 10Yigitel M A,Incel O D,Ersoy C. QoS-aware MAC protocols for wireless sensor networks: a survey [J]. Computer Networks, 2011, 55(8) : 1982-2004.

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