首页 | 官方网站   微博 | 高级检索  
     

一种考虑节点拥塞情况的DTN概率路由算法*
引用本文:宋鑫,胡勇,王炳庭,王贵竹.一种考虑节点拥塞情况的DTN概率路由算法*[J].计算机应用研究,2012,29(4):1493-1496.
作者姓名:宋鑫  胡勇  王炳庭  王贵竹
作者单位:安徽大学计算智能与信号处理教育部重点实验室,合肥,230039
基金项目:国家自然科学基金资助项目(61071168);安徽大学“211工程”学术创新团队基金资助项目
摘    要:容迟网络是一种新型网络,其概率路由算法根据历史相遇频率对相遇概率进行计算与更新,通过相遇概率判断是否转发报文。当节点缓存受限时,在网络中采用概率路由算法使得节点很容易发生拥塞,对报文的传送产生影响。为了减小拥塞对概率路由算法的影响,提出了一种考虑节点拥塞情况的概率路由算法,将节点相遇的概率和节点拥塞的情况综合起来,得到一个报文的递交概率,降低了由于拥塞对网络性能的影响,提高了报文的递交率,减小了报文在缓存中排队等候的时间。仿真结果表明,与传统的概率路由算法相比,在改进后的概率路由算法中报文递交率显著提高,平均延迟也在降低。

关 键 词:容迟网络  概率路由  拥塞程度  相遇概率  报文递交概率

Probabilistic routing algorithm based on node congestion in DTN
SONG Xin,HU Yong,WANG Bing-ting,WANG Gui-zhu.Probabilistic routing algorithm based on node congestion in DTN[J].Application Research of Computers,2012,29(4):1493-1496.
Authors:SONG Xin  HU Yong  WANG Bing-ting  WANG Gui-zhu
Affiliation:(Key Laboratory of Intelligent Computing & Signal Processing for Ministry of Education, Anhui University, Hefei 230039, China)
Abstract:The delay tolerant network is a new network system structure. The probabilistic routing algorithm calculates and updates encounter probability based on encounter frequency of history, and determines whether to forward messages according to the encounter probability. When the buffer of the node is restricted by the size, the networks that use the probabilistic routing would more easily have node congestion, influence the transmission of the messages. In order to reduce the influence of the congestion on the PROPHET, this paper proposed PROPHET-NC (probabilistic routing algorithm based on node congestion), which combined encounter probability with the node congestion situation to estimate delivery probability of messages, lessened the influence on network performance caused by the congestion, enhanced the delivery probability, reduced the time that messages stay in the buffer. The simulation results show that comparing to the PROPHET, in PROPHET-NC the delivery probability of message is obviously increased higher and the average latency is decreased.
Keywords:DTN  PROPHET  congestion situation  encounter probability  message delivery probability
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《计算机应用研究》浏览原始摘要信息
点击此处可从《计算机应用研究》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号