[1]徐佳,廖俊,肖甫,等.间歇性连接移动自组网中自适应喷雾路由协议[J].南京理工大学学报(自然科学版),2012,36(02):296-303.
 XU Jia,LIAO Jun,XIAO Fu,et al.Adaptive Spray Routing Protocal for Intermittently Connected Mobile Ad Hoc Networks[J].Journal of Nanjing University of Science and Technology,2012,36(02):296-303.
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间歇性连接移动自组网中自适应喷雾路由协议
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
36卷
期数:
2012年02期
页码:
296-303
栏目:
出版日期:
2012-04-30

文章信息/Info

Title:
Adaptive Spray Routing Protocal for Intermittently Connected Mobile Ad Hoc Networks
作者:
徐佳; 廖俊; 肖甫; 刘凤玉;
南京邮电大学计算机学院; 南京理工大学计算机科学与技术学院; 东南大学计算机网络和信息集成教育部重点实验室; 南京大学计算机软件新技术国家重点实验室;
Author(s):
XU Jia1234LIAO Jun2XIAO Fu1LIU Feng-yu2
1.School of Computer Science and Technology,Nanjing University of Posts and Telecommunications,Nanjing 210003,China;2.School of Computer Science and Technology, NUST,Nanjing 210094,China;3.Key Laboratory for Computer and Information Integration, Ministry
关键词:
种子喷雾 间歇性连接移动自组织网络 时延约束 路由协议
Keywords:
seed spray intermittently connected mobile ad hoc networks delay constraint routing protocol
分类号:
TN929.5
摘要:
针对传统喷雾路由协议缺乏自适应能力的问题,该文提出一种适用于间歇性连接移动自组织网络的可预测自适应种子喷雾(PASS)路由协议。该PASS路由协议在业务源端检查应用层发送时延要求的合理性,并预测路由代价;被授权的中继节点根据当前网络环境动态建立时延与喷雾深度的映射关系。仿真结果表明,该PASS路由协议能在缺乏网络参数的动态网络环境中满足时延约束,是一种有效的低代价时延约束路由协议。
Abstract:
In view of that the traditional spray routing protocal is short of the adaptability,a predictable adaptive seed spray(PASS)routing protocal for intermittently connected mobile ad hoc networks is proposed.This PASS routing protocal examines the rationality of the target delivery delay derived from application at the business source and predicts the routing cost.The authorized relay nodes establish the relation of the delay and the depth of the spray tree dynamically based on the current network environment.Simulation results show that the PASS routing protocal can meet the delay constraint under the dynamic circumstance without network parameters and is an efficient delay constraint routing protocol with the low cost.

参考文献/References:

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备注/Memo

备注/Memo:
国家自然科学基金(61100199);江苏省高校自然科学基金(10KJB520014);东南大学计算机网络和信息集成教育部开放研究基金(K93-9-2010-13);南京大学计算机软件新技术国家重点实验室资助项目(KFKT2011B20);南京邮电大学引进人才项目(NY210077);中国博士后科学基金(20110491453);江苏省博士后科研资助计划项目(1101126C);淮安市科技项目(HAG2010049)
更新日期/Last Update: 2012-10-12