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Congestion aware routing algorithm for delay-disruption tolerance networks

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【作者】 陶勇龚正虎林亚平周四望

【Author】 TAO Yong1,2,GONG Zheng-hu2,LIN Ya-ping1,ZHOU Si-wang1 1.School of Computer,National University of Defense Technology,Changsha 410073,China;2.School of Software,Hunan University,Changsha 410082,China

【机构】 School of Computer,National University of Defense TechnologySchool of Software,Hunan University

【摘要】 There were many contradictory evaluation criteria to select next-hop in the delay-disruption tolerance networks(DTN).To solve this problem,an attribute hierarchical model was proposed,in which the predefined criteria were summarized as static identity attributes,forwarding desire attributes and delivery capability attributes(IDC).Based on this model,a novel multi-attributes congestion aware routing(MACAR) scheme with uncertain information for next-hop selection was presented,by adopting an decision theory to aggregate attributes with belief structure and computing partial ordering relations.The simulation results show that MACAR presents higher successful delivery rate,lower average delay and effectively alleviate congestion.

【Abstract】 There were many contradictory evaluation criteria to select next-hop in the delay-disruption tolerance networks(DTN).To solve this problem,an attribute hierarchical model was proposed,in which the predefined criteria were summarized as static identity attributes,forwarding desire attributes and delivery capability attributes(IDC).Based on this model,a novel multi-attributes congestion aware routing(MACAR) scheme with uncertain information for next-hop selection was presented,by adopting an decision theory to aggregate attributes with belief structure and computing partial ordering relations.The simulation results show that MACAR presents higher successful delivery rate,lower average delay and effectively alleviate congestion.

【基金】 Project(60973127) supported by the National Natural Science Foundation of China;Project(09JJ3123) supported by the Natural Science Foundation of Hunan Province,China
  • 【文献出处】 Journal of Central South University of Technology ,中南大学学报(英文版) , 编辑部邮箱 ,2011年01期
  • 【分类号】TP393.06
  • 【被引频次】6
  • 【下载频次】32
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