期刊文献+

基于真实场景下的DT-MSN性能分析 被引量:1

Performance analysis for DT-MSN in realistic scenario
原文传递
导出
摘要 由于DT-MSN中节点的移动规律对网络性能起着关键的作用,本文采用真实场景中节点移动轨迹的样本,提取节点的移动规律,从而建立了容延迟移动传感器网络中移动节点间可通信概率的模型,并应用通用分析模型对网络进行了性能的分析,最后基于RandomizedRouting下用仿真检验了该模型的可行性.它能在布置网络前提供技术参考,具有重要的实际应用价值. The node mobility pattern plays a key role in performance of Delay Tolerant Mobile Sensor Networks (DT-MSN). In this work, a communication model between the moving nodes in DT-MSN is proposed by abstracting the characteristics from nodal trace data in realistic scenario, this paper applied the generic analysis model for the performance evaluation in networks. A series of simulations are developed with Randomized Routing Algorithm to verify the presented analysis. It can provide a technological reference before arranging the network, and has an important practical application.
出处 《四川大学学报(自然科学版)》 CAS CSCD 北大核心 2011年第5期1059-1064,共6页 Journal of Sichuan University(Natural Science Edition)
基金 国家自然科学基金项目(60773168)
关键词 无线传感器网络 容延迟移动传感器网络 可通信概率 性能分析 WSN, DT-MSN, communication model, performance analysis
  • 相关文献

参考文献13

  • 1Fall K. A delay-tolerant network architecture for challenged internets [ C ]. Karlsruhe Germany: ACM, 2003.
  • 2Kim Y P, Koo J I, Jung E, et al. Composite meth- ods for improving spray and wait routing protocol in delay tolerant networks [C]. Tokyo, Japan: IEEE, 2010.
  • 3Keung G Y, Zhang Q, Li B. The base station placement for delay-constrained information coverage in mobile wireless networks[C]. Cape Town, South Africa: IEEE(ICC), 2010.
  • 4Juang P, Oki H, Wang Y, et al. Energy-efficient computing for wildlife tracking: design tradeoffs and early experiences with ZebraNet[C]. San Jose, U- nited states: SIGARCH, 2002.
  • 5Wang Y, Dang H, Wu H. A survey on analytic studies of delay-tolerant mobile sensor networks [J]. Wireless Communications and Mobile Compu- ting, 2007, 7(10): 1197.
  • 6刘春桃,林锋,周激流.容延迟移动传感器网络中的一种密钥更新算法[J].四川大学学报(自然科学版),2009,46(3):603-608. 被引量:4
  • 7Christian B, Giovanni R, Paolo S. The node distribu- tion of the random waypoint mobility model for wireless ad hoe networks [J]. IEEE Transaetions on Mobile Computing, 2003, 2(3): 257.
  • 8Adnan M, Roberto B, Rob B. An efficient biasing strategy for random walk in wireless ad hoe net- works [C]. Crete, Greece: IEEE Computer Society, 2008.
  • 9Royer E, Melliar S, Moser L. An analysis of the op- timum node density for ad hoc mobile Networks I-C]. Helsinki, Finland: IEEE, 2001.
  • 10Christian B. Smooth is better than sharp: a random mobility model for simulation of wireless networks [C]. Rome, Italy: ACM sigmobile, 2001.

二级参考文献2

共引文献3

同被引文献13

  • 1Tournoux P U, Leguay J, Benbadis F, et al. The accordion phenomenon: Analysis, characteriza- tion, and impact on dtn routing [C] //Proceed- ings of International Conference on Computer Com- munications 2009. Rio de Janeiro, Brazil: IEEE Press, 2009.
  • 2Raveneau P, Chaput E, Dhaou R, et al. Martinet: A disciplinarian protocol for resource access in DTN [C] //Proceedings of Wireless Days, 2013 IFIP. Valencia, Spain : IEEE Press, 2013: 1.
  • 3Voyiatzis A. A survey of delay-and disruption-tol- erant networking applications [J]. J Int Eng, 2012, 5 (1): 331.
  • 4Ramdhany R, Coulson G. Towards thecoexistence of divergent applications on smart city sensing in- frastructure [C] //Proceedings of The 4th Inter- national Workshop on Networks of Cooperating Objects for Smart Cities. Philadelphia, USA:CEUR-WS. org, 2013.
  • 5Guo Y, Schildt S, Pogel T, et al. Detecting mali- cious behavior in a vehicular DTN for public trans- portation [C] //Proceedings of Global Informa- tion Infrastructure Symposium, 2013. Trento, Ita- ly IEEE Press, 2013: 1.
  • 6Quwaider M, Biswas S. DTN routing in body sen- sor networks with dynamic postural partitioning [J]. Ad Hoc Networks, 2010, 8 (8): 824.
  • 7Selamat M H, Othman M S, Shamsuddin N H M, et al. A review on open source architecture in geo- graphical information systems [C] //Proceedings of 2012 International Conference on Computer Information Science (ICCIS). China, Chong Qing: IEEE Press, 2012.
  • 8Ekman F, Ker/inen A, Karvo J, et al. Working day movement model [C] //Proceedings of the 1stACM SIGMOBILE workshop on Mobility models. China, Hong Kong, ACM: ACM Press, 2008.
  • 9Kernen A, K/irkkinen T, Ott J. Simulating Mobility and DTNs with the ONE [J]. J Com- mun, 2010, 5 (2): 92.
  • 10Oh S Y. An advanced taxi movement model in the working day movement for delay-tolerant networks [J]. Cluster Computing, 2014, 17 (3): 751.

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