CFP last date
20 January 2025
Reseach Article

Evaluation of DTN Routing Protocols in Post Disaster Scenario

by Nikhil Gondaliya, Shital N Gondaliya
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 121 - Number 18
Year of Publication: 2015
Authors: Nikhil Gondaliya, Shital N Gondaliya
10.5120/21643-4979

Nikhil Gondaliya, Shital N Gondaliya . Evaluation of DTN Routing Protocols in Post Disaster Scenario. International Journal of Computer Applications. 121, 18 ( July 2015), 39-44. DOI=10.5120/21643-4979

@article{ 10.5120/21643-4979,
author = { Nikhil Gondaliya, Shital N Gondaliya },
title = { Evaluation of DTN Routing Protocols in Post Disaster Scenario },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 121 },
number = { 18 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 39-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume121/number18/21643-4979/ },
doi = { 10.5120/21643-4979 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:09:19.566275+05:30
%A Nikhil Gondaliya
%A Shital N Gondaliya
%T Evaluation of DTN Routing Protocols in Post Disaster Scenario
%J International Journal of Computer Applications
%@ 0975-8887
%V 121
%N 18
%P 39-44
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Delay Tolerant Networking (DTN) can be used as a way of communication when existing infrastructure is totally damaged or not possible to establish in the regions like military, disaster and fire fighting. It is most suitable to the application of disaster scenario because end to end path may not be available most of time and connectivity between rescue team member and survivors become opportunistic. Post disaster scenario where it is not possible to predict the movement of people because there is not real trace data available. Some authors represented mobility model in disaster scenario using which it is possible to generate movement pattern of rescue team members and survivors. One of the factors which affect the performance of DTN is design of routing protocol. Many DTN routing protocols have been proposed in the literature but their performance depends mainly on the application where it is used. In this paper, we explore the performance of five different routing protocols namely Epidemic, Binary Spray and Wait (BSnW), Spray and Focus (SnF), Encounter Based Routing (EBR) and PRoPHET. We have evaluated performance of these protocols in terms of delivery probability, overhead ratio, average delay and average hop count by varying buffer size, message size and number of messages per minute. Simulation is conducted using Opportunistic Network Environment (ONE) simulator.

References
  1. McGrath S, Grigg E, Wendelken S, Blike G, Rosa MD, Fiske A, et al. ARTEMIS: a vision for remote triage and emergency management information integration. Dartmouth University; 2003. p. 9.
  2. Lorincz K, Malan D, Fulford-Jones T, Nawoj A, Clavel A, Shnayder V, et al. Sensor networks for emergency response: challenges and opportunities. Pervasive Computing, IEEE 2004;3(4):16–23.
  3. Williams D. Tactical medical coordination system (tacmedcs), Naval Health Research Center, San Diego, CA. Technical report. Febraury 2004–June 2007; November 2007
  4. Samuel C. Nelson, Albert F. Harris, and Robin Kravets. Event-driven, role-based mobility in disaster recovery networks. In CHANTS, 2007
  5. Samuel C. Nelson, M. Bakht and R. Kravets, "Encounter-Based Routing in DTNs," Proceedings of IEEE INFOCOM, Rio De Janeiro, Brazil, April 2009.
  6. N. Aschenbruck, E. Gerhards-Padilla, M. Gerharz, M. Frank, P. Martini, Modelling mobility in disaster area scenarios, in: Proceedings of the 10th ACM Symposium on Modeling, Analysis, and Simulation of Wireless and Mobile Systems, MSWiM'07, ACM, New York, NY, USA, 2007, pp. 4–12.
  7. A. Mart´?n-Campillo, J. Crowcroft, E. Yoneki, R. Mart´?, Evaluating opportunistic networks in disaster scenarios, Journal of Network and Computer Applications 36 (2) (2013), pp. 870–880.
  8. M. Y. S. Uddin, H. Ahmadi, T. Abdelzaher, and R. Kravets. A low-energy, multi-copy inter-contact routing protocol for disaster response networks. In Proc. of IEEE SECON, NJ, USA, 2009, pp. 637–645.
  9. A. Vahdat and D. Becker, "Epidemic routing for partially connected ad hoc networks," Tech. Rep. , Duke University, Durham, NC, USA, 2000.
  10. A. Lindgren, A. Doria, and O. Schelén, "Probabilistic routing in intermittently connected networks," ACM SIGMOBILE Mobile Computing and Communications Review, vol. 7, no. 3, 2003, pp. 19–20.
  11. T. Spyropoulos, K. Psounis, and C. Raghavendra, "Spray and wait: An efficient routing scheme for intermittently connected mobile networks," in Proc. WDTN, 2005.
  12. T. Spyropoulos, Konstantinos Psounis, and Cauligi S. Raghavendra. Spray and focus: Efficient mobility-assisted routing for heterogeneous and correlated mobility. In Fifth Annual IEEE International Conference on Pervasive Computing and Communication Workshops, 2007.
  13. Keränen, A. , Ott, J. , and Kärkkäinen, T, "The ONE Simulator for DTN Protocol Evaluation", In Simutools '09: Proceedings of the 2nd International Conference on Simulation Tools and Techniques (2009), ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), pp. 1–10.
Index Terms

Computer Science
Information Sciences

Keywords

Delay tolerant network disaster network routing protocol