Spray and forward: Efficient routing based on the Markov location prediction model for DTNs

Science China Information Sciences

Volumn 55, Issue 2, 2012, Pages 433-440

  Dang, Fei ^a   Yang, XiaoLong ^a,b   Long, KePing ^b  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING   (China)

Author keywords

delay tolerant networks; Markov position prediction; routing algorithm; spray and forward

Indexed keywords

EID: 84863017357     PISSN: 1674733X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11432-011-4345-1     Document Type: Article

References (12)

1. Leguay J, Friedman T, Cunan V. DTN routing in a mobility pattern space. In: Proceeding of the 2005 ACM SIGCOMM Workshop on Delay-Tolerant Networking. New York: ACM Press, 2005. 276-283.
2. Jain S, Fall K, Patra R. Routing in a delay tolerant network. In: Proc. ACM SIGCOMM, 2004.
3. Lu X F, Hui P, Towsley D, et al. LOPP: A location privacy protected anonymous routing protocol for disruption tolerant network. IEICE Trans Inf Syst, 2010, E93-D: 503-509.
4. Yoon H, Kim J W, Ott M, et al. Mobility emulator for DTN and MANET applications. In: Proceedings of the 4th ACM International Workshop on Experimental Evaluation and Characterization. Beijing, China, 2009. 51-58.
5. Costa P, Mascolo C, Musolesi M, et al. Socially-aware routing for publish-subscribe in delay-tolerant mobile ad hoc networks. J Select Areas Commun, 2008, 26: 748-760.
6. Spyropoulos T, Psounis K, Raghavendra C S, et al. Spray and wait: An efficient routing scheme for intermittently connected mobile networks. In: Proceedings of ACM SIGCOMM Workshop on Delay-Tolerant Networking (WDTN), 2005. 252-259.
7. Tang L, Hong X Y, Zheng Q W, et al. SMART: A selective controlled-flooding routing for delay tolerant networks. In: International Conference on Broadband Communications, Networks, and Systems (Broadnets 2007), Raleigh, NC, 2007. 356-365.
8. Yang P, Chuah M. Performance evaluations of data-centric information retrieval schemes for DTNs. Computer Networks: The Int J Comput Telecommun Netw, 2009, 53: 541-555.
9. Zhang X, Neglia G, Kurose J, et al. Performance modeling of epidemic routing. Comput Netw, 2007, 51: 2867-2891.
10. Keränen A, Ott J. Increasing reality for DTN protocol simulations. Technical Report, Helsinki University of Technology, Networking Laboratory, July 2007.
11. Song L B, Kotz D, Ja I R, et al. Evaluating location predictors with extensive Wi2Fi mobility data. In: Proceedings of INFOCOM. Hong Kong: IEEE, 2004. 1414-1424.
12. Li Z, Shen H Y. Utility-based distributed routing in intermittently connected networks. In: 37th International Conference on Parallel Processing, Portland, Oregon, USA, 2008. 604-611.