Abstract
Delay Tolerant Network suffers from lack of resources and disconnected contact nature. In DTN, all possible methods are used to transmit data including the physical transportations means. Aircrafts in commercial routes have been proposed to carry data from ground users along their flying routes. Delivery probability is compared when using aircrafts, buses and ferries. Results show that aircrafts provide higher delivery probability which is up to 62% better compared with buses and ferries. Furthermore, when there is lack of resources, it is difficult to satisfy all users’ demands for traffic. We propose a Fairness and Satisfaction (FS) model to enhance the users’ satisfaction during DTN limited and scarce resources. Various scenarios are tested for the FS model through intense simulations. FS model, when implemented, will improve user’s satisfaction up to 18 % and DTN fairness up to 20 % compared with the same scenario lacking the model.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Farrell, S., Cahill, V.: Delay-and Disruption- Tolerant Networking, ch. 3, p. 65. Artech House, London (2006)
Zhang, X., Kurose, J., Levine, B.N., Towsley, D., Zhang, H.: Study of a bus-based disruption-tolerant network: mobility modeling and impact on routing. In: Proceedings of the 13th annual ACM international conference on Mobile computing and networking, pp. 195–206 (2007)
Zhao, W., Ammar, M., Zegura, E.: A message ferrying approach for data delivery in sparse mobile ad hoc networks. In: Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing, pp. 187–198 (2004)
Jain, S., Fall, K., Patra, R.: Routing in a delay tolerant network. In: Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications, pp. 145–158 (2004)
Al - Siyabi, M. A., Cruickshank, H., Sun, Z.: Delay/Disruption Tolerant Network Architecture for Aircraft Datalink on Scheduled Routes. Presented at the PSAT10, Rome, Italy, PSA 10 (2010)
Home - Delay Tolerant Networking Research Group, http://www.dtnrg.org/wiki (accessed: January 20, 2011)
Ishimaru, Y., Sun, W., Yasumoto, K., Ito, M.: DTN-based Delivery of Word-of-Mouth Information with Priority and Deadline. In: The Fifth International Conference on Mobile Computing and Ubiquitous Networking (ICMU 2010), April 26 (2010)
Li, Y., Qian, M., Jin, D., Su, L., Zeng, L.: Adaptive Optimal Buffer Management Policies for Realistic DTN. In: GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference, pp. 1–5 (2009)
Chuah, M., Ma, W.: Integrated Buffer and Route Management in a DTN with Message Ferry. In: MILCOM 2006, pp. 1–7 (2006)
Huang, T., Lee, C., Chen, L.: PRoPHET+: An Adaptive PRoPHET-Based Routing Protocol for Opportunistic Network. In: 2010 24th IEEE International Conference on Advanced Information Networking and Applications, pp. 112–119 (2010)
Vahdat, A., Becker, D.: Epidemic routing for partially connected ad hoc networks. Citeseer (2000)
Spyropoulos, T., Psounis, K., Raghavendra, C.S.: Spray and wait: an efficient routing scheme for intermittently connected mobile networks. In: Proceedings of the 2005 ACM SIGCOMM workshop on Delay-tolerant networking, pp. 252–259 (2005)
Burgess, J., Gallagher, B., Jensen, D., Levine, B.N.: Maxprop: Routing for vehicle-based disruption-tolerant networks. In: Proc. IEEE Infocom, vol. 6 (2006)
Jain, R., Chiu, D.M., Hawe, W.: A Quantitative Measure of Fairness and Discrimination for Resource Allocation in Shared Systems. DEC Research Report TR-301 (1984)
Keränen, A., Ott, J., Kärkkäinen, T.: The ONE simulator for DTN protocol evaluation. In: Proceedings of the 2nd International Conference on Simulation Tools and Techniques, pp. 1–10 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 IFIP International Federation for Information Processing
About this paper
Cite this paper
Al-Siyabi, M., Cruickshank, H., Sun, Z., Ansa, G. (2011). Fairness and Satisfaction Model for DTN Applications Using Various Transportation Means. In: Masip-Bruin, X., Verchere, D., Tsaoussidis, V., Yannuzzi, M. (eds) Wired/Wireless Internet Communications. WWIC 2011. Lecture Notes in Computer Science, vol 6649. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21560-5_37
Download citation
DOI: https://doi.org/10.1007/978-3-642-21560-5_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21559-9
Online ISBN: 978-3-642-21560-5
eBook Packages: Computer ScienceComputer Science (R0)