We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Reseach Article

Impact of Mobility Models on DLA (Drop Largest) Optimized DTN Epidemic Routing Protocol

by Sulma Rashid, Qaisar Ayub, M. Soperi Mohd Zahid, A.Hanan. Abdullah
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 18 - Number 5
Year of Publication: 2011
Authors: Sulma Rashid, Qaisar Ayub, M. Soperi Mohd Zahid, A.Hanan. Abdullah
10.5120/2278-2950

Sulma Rashid, Qaisar Ayub, M. Soperi Mohd Zahid, A.Hanan. Abdullah . Impact of Mobility Models on DLA (Drop Largest) Optimized DTN Epidemic Routing Protocol. International Journal of Computer Applications. 18, 5 ( March 2011), 35-39. DOI=10.5120/2278-2950

@article{ 10.5120/2278-2950,
author = { Sulma Rashid, Qaisar Ayub, M. Soperi Mohd Zahid, A.Hanan. Abdullah },
title = { Impact of Mobility Models on DLA (Drop Largest) Optimized DTN Epidemic Routing Protocol },
journal = { International Journal of Computer Applications },
issue_date = { March 2011 },
volume = { 18 },
number = { 5 },
month = { March },
year = { 2011 },
issn = { 0975-8887 },
pages = { 35-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume18/number5/2278-2950/ },
doi = { 10.5120/2278-2950 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:05:32.472208+05:30
%A Sulma Rashid
%A Qaisar Ayub
%A M. Soperi Mohd Zahid
%A A.Hanan. Abdullah
%T Impact of Mobility Models on DLA (Drop Largest) Optimized DTN Epidemic Routing Protocol
%J International Journal of Computer Applications
%@ 0975-8887
%V 18
%N 5
%P 35-39
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

DTN mobile nodes depend on their mobility to carry the message to destination. Therefore it is important to understand the effect of buffer management policies on the performance of DTN routing protocols under different mobility models. In our previous work of DLA we examine that epidemic router was not showing good delivery probability in case of SPMBM. This paper is the performance of DLA (drop largest) and DOA (Drop oldest) buffer management policy with impact of varying mobility models under epidemic routing protocol. We show that how combination of mobility models and queuing mechanism can optimize the performance of epidemic routing protocol in term of delivery probability, message dropped, buffer time average, overhead ratio and hop count averages.

References
  1. S. Jain, K. Fall, and R. Patra, “Routing in a delay tolerant network,” in Proceedings of ACM SIGCOMM, pp.145-158, 2004.
  2. T. Small and Z. J. Haas.” Resource and performance trade offs in delay-tolerant wireless networks,” in SIGCOMM Workshop on Delay Tolerant Networking (WDTN), pp.260-267, 2005.
  3. T. Spyropoulos, K. Psounis, and C. S. Ranghavendra “Spray and wait: an efficient routing scheme for intermittently connected mobile networks,” in Proceedings of the ACM SIGCOMM workshop on Delay-tolerant networking.pp. 252-259,2005.
  4. T. Spyropoulos, K. Psounis, and C. Raghavendra. “Efficient Routing in Intermittently Connected Mobile Networks: The Multi-copy Case,”IEEE/ACM Transactions on Networking (TON), vol. 16, and pp. 77 - 90, Feb. 2008.
  5. Homepage of Opportunistic Network Environment (ONE).http://www.netlab.tkk._/%7Ejo/dtn/#one Version 1, Accessed July 2010.
  6. A. Vahdat and D. Becker, “Epidemic routing for partially connected ad hoc networks,” Duke University, Tech. Rep. CS-200006, Apr. 2000.
  7. K. Scott and S. Burleigh, “Bundle protocol specification.” RFC 5050, November 2007.
  8. KERÄNEN, A., AND OTT, J. Increasing Reality for DTN Protocol Simulations. Tech. rep., Helsinki University of Technology, Networking Laboratory, July 2007.
  9. F. Bai, N. Sadagopan and A. Helmy, “IMPORTANT: A Framework to Systematically Analyze the Impact of Mobility on Performance of Routing Protocols for Ad Hoc Networks,” Proceedings of the
  10. IEEE International Conference on Computer Communications, pp. 825-835, March-April 2003.
  11. Camp, T., J. Boleng, and V. Davies, A survey of mobility models for ad hoc network research. Wireless communications and mobile computing, 2002. 2(5): p. 483-502.
  12. Lindgren, A. Doria, and O. Schelen, “Probabilistic routing in intermittently connected networks,” SIGMOBILE Mobile Computing and Communication Review, vol. 7, no. 3, 2003.
  13. Krifa, C. Barakat, and T. Spyropoulos.” Optimal buffer management policies for delay tolerant networks”. In IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 2008.
  14. Indgren and K. S. Phanse, “Evaluation of queuing policies and forwarding strategies for routing in intermittently connected networks,”in Proc. of IEEE COMSWARE, Jan. 2006.
  15. Sulma Rashid,Qaisar Ayub,”Effective buffer management policy DLA for DTN routing Protocals under congestion”, International Journal of Computer and Network Security,Vol 2,NO 9,Sep 2010. pp .118-121
  16. Yun Li, Ling Zhao ,Zhanjun Liu,Qilie Liu.” N-Drop Congestion Control strategy under Epidemic Routing in DTN.” Research center for wireless information networks, Chongqing University of posts & Telecommunications, Chongqing 400065, china, pp. 457-460, 2009.
  17. Qaisar Ayub, Sulma Rashid,” T-Drop: An optimal buffer management policy to improve QOS in DTN routing protocols”, Journal of Computing, Vol 2, ISSUE 10,
  18. Rashid, S., et al., E-DROP: An Effective Drop Buffer Management Policy for DTN Routing Protocols. International Journal, 2011. 13(7): p. 8-13.
  19. Saad, M.I.M. and Z.A. Zukarnain, Performance Analysis of Random-Based Mobility Models in MANET Routing Protocol. European Journal of Scientific Research, 2009. 32(4): p. 444-454.
  20. Abdulla, M. and R. Simon. The impact of the mobility model on delay tolerant networking performance analysis. 2007: IEEE.
  21. T. Spyropoulos, K. Psounis, and C. Raghavendra A, C. S. “Single-copy routing in intermittently connected mobile networks,” IEEE/ACM Transactions on Networking (TON), vol. 16 , pp. 63-76, Feb. 2008.
  22. Giudici, F., E. Pagani, and G.P. Rossi, Impact of Mobility on Epidemic Broadcast in DTNs. Wireless and Mobile Networking, 2008: p. 421-434.
Index Terms

Computer Science
Information Sciences

Keywords

DTN (Delay Tolerance Network) Queuing Policies store-carry-forward Drop Largest message drop policies mobility models