西安电子科技大学学报（自然科学版）2011，Vol.38Issue(2)：18-22,81,6.DOI:10.3969/j.issn.1001-2400.2011.02.004
基于马尔科夫决策的容迟网络路由算法
Study of the DTN routing algorithm based on the Markov decision
摘要
Abstract
Since the major application scenarios of the DTN ( delay/disruption tolerant network) are extremely particular, routing protocols designed for the traditional networks are not suitable for it. In order to raise the transfer efficiency while reducing the network delay and network cost in the DTN, a routing algorithm based on the Markov Decision, named MRDDTN (Markov Route Decision in the DTN), is proposed. The MRDDTN is self-learning and can solve problems in the complex network environment characterized by very long delay paths and frequent network partitions. Through simulative analysis, the MRDDTN is found to be able to achieve a better performance than Epidemic and PROPHET routing algorithms under the same network conditions.关键词
容迟网络/路由算法/马尔科夫决策分类
信息技术与安全科学引用本文复制引用
张文柱,孙发勇,王炫..基于马尔科夫决策的容迟网络路由算法[J].西安电子科技大学学报（自然科学版）,2011,38(2):18-22,81,6.基金项目
国家杰出青年科学基金资助项目(60725105) （60725105）
国家重点基础研究发展计划(973计划)资助项目(2009CB320404) （973计划）
长江学者和创新团队发展计划资助项目(IRT0852) （IRT0852）
国家自然科学基金资助项目(61072068,60872045) （61072068,60872045）
中央高校基本科研业务费专项资助项目(JY10000901031) （JY10000901031）
综合业务网理论及关键技 （）
