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基于时延和能耗的Ad hoc网络路由选择算法 被引量:1

Path selection algorithm based on delay and energy consumption in Ad hoc networks
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摘要 为了减少网络能量消耗,优化网络性能,在网络节点MAC层发射功率可控条件下,提出了一种基于平均分组时延与分组能量消耗乘积最小的路由路径选择算法.该算法根据链路平均分组时延和分组能量消耗情况来进行路由路径选择.仿真表明,该算法可以动态调整网络路由路径,使所选路径的平均分组时延与分组能量消耗乘积达到最小,从而达到减少网络能量消耗及降低网络分组时延目的. In order to save the network energy and optimize the network performance, under the emission power of node being controllable, a routing path selection algorithm based on the minimal product of packet delay and packet energy consumption is presented. The algorithm is based on packet delay and energy consumption in selecting routing path. Simulation results show that the presented algorithm can dynamically adjust the routing path, which can make the product of packet delay and energy consumption of routing path minimized in Ad hoc networks.
出处 《哈尔滨工业大学学报》 EI CAS CSCD 北大核心 2008年第5期763-766,770,共5页 Journal of Harbin Institute of Technology
关键词 AD HOC网络 路由路径 功率控制 时延 能量消耗 Ad hoc networks routing path power controlled delay energy consumption
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  • 1RFC3561. Ad hoc on demand distance vector(AODV) routing [ DB/OL ]. http://www, ietf. org/rfc/rfc3561. 2003 - 07 - 23.
  • 2MAHESH K M, DAS S R. On-demand multipath distance vector routing in Ad hoc networks [ C ]//Ninth International Conference on Network Protocols. Washington D. C., USA:[s. n. ], 2001:14-23.
  • 3JOHNSON D, MALTZ D, HU Y. The Dynamic Source Routing Protocol for Mobile Ad Hoc Networks (DSR) [ EB/OL ]. http://www, ietf. org/internet-drafts/draftietf-manet-dsr-10. 2004 - 07 - 01.
  • 4邵旭,丁炜.基于流量总时延最小的并行LSP自适应流量分配[J].电子学报,2003,31(1):4-7. 被引量:10
  • 5宁录游,张中兆,张乃通.采用功率控制的自组织网MACA协议[J].高技术通讯,2002,12(10):26-29. 被引量:6
  • 6RAPPORT T. Wireless Communication: Principles and Practice[ M]. Beijing: Beijing Publishing House of Electronics Industry, 1999.
  • 7DAVID M. Qos and traffic management in IP and ATM networks [ M ]. California, USA: The McGraw-Hill Companies, Inc, 2000:203 - 226.
  • 8FEEN L, NILSSON M. Investigating the energy consumption of a wireless network interface in an Ad hoc networking environment [ C ]//Proc, 20^th IEEE INFO- COM. Anchorage, AK:[s. n. ] , 2001:1548 - 1553.
  • 9WANG Y, ACEVES G L. Collision avoidance in multihop Ad hoc networks[C]//Proc10th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems ( MASCOTS' 02). Fort Worth, Texas, USA:The Computer Society,2002 : 145.

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  • 1HANASHI A M, SIDDIQUE A, AWAN I, et al. Per- formanee evaluation of dynamic probabilistic broadcast- ing for flooding in mobile ad hoc networks [ J ]. Simula- tion Modelling Practice and Theory, 2009, 17 (2) : 364 - 375.
  • 2GENC Z, OZKASAP O. Epidemic-based reliable and a- daptive muhicast for MANETs [ C ]//Proceedings of the Wireless Communications and Networking Conference, Hong Kong, China, IEEE, 2007:4395 -4400.
  • 3RAJUGV, REDDY T B, MURTHY C S R. On sup- porting robust voice multicasting over Ad Hoc wireless Networks [ C ]//Proceedings of the Communications, Clasgow, Scotland, IEEE, 2007:1636 - 1641.
  • 4GUNES M, SORGES U, BOUAZIZI I. ARA-the ant- colony based routing algorithm for MANETs [ C ]//Pro- ceedings of the Parallel Processing Workshops. Vancou- ver, British Columbia, Canada, IEEE, 2002:79 - 85.
  • 5CORREIA F, VAZAO T. SirrLple ant routing algorithm strategies for a (Multipurpose) MANET model [ J ]. Ad Hoc Networks, 2010, 8 (8) : 810 -823.
  • 6KADONO D, 'IZUMI T, OOSHITA F, et al. An ant col- ony optimization routing based on robustness for ad hoc networks with GPSs [J]. Ad Hoc Networks, 2010, 8 (1) : 63 -76.
  • 7MISRA S, DHURANDHER S K, OBAIDAT M S, et al. A low-overhead fault-tolerant routing algorithm for mo- bile ad hoc networks: A scheme and its simulation anal- ysis[ J]. Simulation Modelling Practice and Theory, 2010, 18 (5): 637-649.
  • 8COBO L, QUINTERO A, PIERRE S. Ant-based routing for wireless multimedia senso networks using multiple QoS metrics[ J]. Computer Networks, 2010, 54 (17) : 2991 - 3010.
  • 9KAMALI S, OPATRNY J. A position based ant colony routing algorithm for mobile Ad-hoc networks[ C]//Pro- ceedings of the Wireless and Mobile Communications. Washington, DC, USA: IEEE, 2007:21 - 21.
  • 10JUANG Chia-feng, LU Chun-.ming. Ant colony optimi- cation incorporated with fuzzy Q-learning for reinforce- ment fuzzy control[J]. Systeras, Man and Cybernetics, Part A: Systems and Human,, IEEE Transactions on, 2009, 39 (3) : 597 - 608.

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