期刊文献+

NDN数据提供者移动支持策略能耗建模与分析 被引量:2

Energy Consumption Modeling and Analysis of NDN Data Provider Mobile Support Strategies
原文传递
导出
摘要 基于数据提供者的移动节点在网络中的不同位置及不同移动速度,结合命名数据网络(NDN)请求者驱动的数据传输模式,提出了3类NDN移动支持策略的网络能耗解析表达式,为NDN移动网络的研究提供了形式化的建模方法.对这3类移动支持策略在不同场景下能耗的分析与比较结果表明,数据流行度分布、移动节点所处位置及移动速度对策略的能耗影响不尽相同,为后续探求最优能效的移动支持策略提供了理论参考. Based on different locations and speeds of mobile nodes of data providers in network,combined with named data networking( NDN) requester driven data transmission mode,analytic expressions of network energy consumption of 3 types of NDN mobile support strategies are proposed,which provide a formal modeling method for the study of NDN mobile network. By analyzing and comparing the energy consumption of these 3 mobile support strategies in different scenarios,data popularity distribution,location of mobile nodes and moving speed have different effects on energy consumption of the 3 strategies. It provides a theoretical reference for exploring the optimal energy efficiency mobile support strategies in the future.
作者 王国卿 WANG Guo-qing(College of Information Engineering,North China University of Water Resources and Electric Power,Zhengzhou 450045,China)
出处 《北京邮电大学学报》 EI CAS CSCD 北大核心 2021年第2期75-80,共6页 Journal of Beijing University of Posts and Telecommunications
关键词 数据提供者移动支持策略 能耗 移动速度 建模 data provider mobility support strategy energy consumption mobile speed modeling
  • 相关文献

参考文献2

二级参考文献61

  • 1陈震,曹军威.信息中心网络[M].北京:清华大学出版社,2013:7-20.
  • 2Abdullahi I, Arif S, Hassan S. Survey on caching ap- proaches in information centric networking[ J]. ournal of Network and Computer Applications, 2015, 56 ( I 1 ) : 48- 59.
  • 3Perino D, Varvello M. A reality check for content centric networking[ C ]//ACM SIGCOMM Workshop on Informa- tion-centric Networking. Toronto, Canada: ACM, 2011 : 44-49.
  • 4Psaras I, Chai Wei Koong, Pavlou G. Probabilistic in- network caching for information-centric networks [ C ] // The Second Edition of the ICN Workshop on Information- centric Networking. NewYork, USA: ACM, 2012: 55- 60.
  • 5Rossi D, Rossini G. On sizing CCN content stores by ex- ploiting topological information[ C ]// 2012 IEEE Confer- ence on Computer Communications Workshops. Orlando, FL: IEEE, 2012: 280-285.
  • 6Laoutaris N, Hao Che, Stavrakakis I. The LCD intercon- nection of LRU caches and its analysis [ J ]. Performance Evaluation, 2006, 63 (7) : 609-634.
  • 7Xu Yuemei, Li Yang, Lin Tao, et. al. A dominating- set-based collaborative caching with request routing in content centric networking [ C ] //International Confer- ence on Communications (ICC). Budapest: IEEE, 2013 : 3624-3628.
  • 8Detti A, Tassetto D, Fedi F, et al. Exploiting content centric networking to develop topic-based, publish-sub- scribe MANET systems [ J]. Ad Hoc Networks, 2015, 24: 115-133.
  • 9Angius F, Westphal C, Gerla M, et al. WARP: a ICN architecture for social data[ C ]//2014 IEEE INFOCOM WKSHPS. Toronto: IEEE, 2014: 287-292.
  • 10Amadeo M, Campolo C, Molinaro A. Content-centric networking: is that a solution for upcoming vehicular networks? [ C ] //9'h ACM International Workshop on Vehicular Inter-networking, Systems, and Applications. Low Wood Bay, UK: ACM, 2012: 99-102.

共引文献14

同被引文献11

引证文献2

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部