Effect of NTT on Performance of AODV in a Linear AD HOC Network

##plugins.themes.academic_pro.article.sidebar##

Published Apr 1, 2022
https://doi.org/10.47164/ijngc.v13i1.365
Download
Requires Subscription PDF
Statistic

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...
Volume 13, Issue 1, March 2022

##plugins.themes.academic_pro.article.main##

SAURABH SHARMA
DEPARTMENT OF ELECTRONICS AND COMMUNICATION, UNIVERSITY OF ALLAHABAD
Alok Singh
Rajneesh Kumar Srivastava

Abstract

Wireless Ad Hoc Networks (WANETs) are predicted to be prevalent networks in coming future because of their infrastructure-less characteristics that result in self-organization, self-healing, and self-configuration of such networks. Routing means the process of selecting a path along which data can be transferred from source to destination that plays a significant role in the performance of ad hoc networks. There are many routing protocols developed for wireless ad hoc networks. One of such protocols, developed by C. E. Perkins, is Ad Hoc On-demand Distance Vector (AODV) routing protocol, which is a reactive routing protocol, AODV is used to establish route(s) between source node(s) and destination node(s) as and when routes are required. Performance of AODV routing protocol depends heavily on choice of values of a set of predefined attributes. One of such attributes of AODV is Node Traversal Time (NTT) which is supposed to play significant role in establishing route(s) between source node(s) and destination node(s). In this paper, we have investigated the performance of AODV in a linear wireless ad hoc network using different values of NTT using as well as without using Hello messages. The performance of the network has been measured using several metrics like Route Error Overhead, Routing Overhead, Normalized Routing Load, Average Hop Count, Total Number of Received Data Packets, Packet Delivery Ratio, Average End-to-End Delay and Throughput. It is observed that choice of value of NTT has a significant effect on establishment of route(s) between source node(s) and destination node(s) that eventually affects the performance of the linear wireless ad hoc network under consideration. The insights gained through this work could be useful in analysis of more realistic and complex networks.

##plugins.themes.academic_pro.article.details##

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite
SHARMA, S., Alok Singh, & Rajneesh Kumar Srivastava. (2022). Effect of NTT on Performance of AODV in a Linear AD HOC Network. International Journal of Next-Generation Computing, 13(1). https://doi.org/10.47164/ijngc.v13i1.365
Crossref
Scopus
Google Scholar
Europe PMC

References

  1. Atto, M., Mstafa, R. J., and Alkhayyat, A. 2020. Improving aodv routing protocol for image transmission over mobile video sensor networks. IEEE Access Vol.8, pp.169396-169407. DOI: https://doi.org/10.1109/ACCESS.2020.3024093
  2. Chin, K.-W., Judge, J., Williams, A., and Kermode, R. 2002. Implementation experience with manet routing DOI: https://doi.org/10.1145/774749.774758
  3. protocols. Association for Computing Machinery Vol.32, pp.49-59.
  4. Chiyangwa, S. and Kwiatkowska, M. 2005. A timing analysis of aodv. In Proceedings of the 7th IFIP WG 6.1 International Conference on Formal Methods for Open Object-Based Distributed Systems. Springer- DOI: https://doi.org/10.1007/11494881_20
  5. Verlag, Heidelberg Berlin, pp.306-321.
  6. Hong, Y.-S. and Lee, K.-Y. 2008. An aiad-based adaptive routing protocol in ad-hoc wireless networks. In Network and Parallel Computing. Springer Berlin Heidelberg, Heidelberg Berlin, pp.1-12. DOI: https://doi.org/10.1007/978-3-540-88140-7_1
  7. Jain, B. and Shrivastava, D. L. 2015. Performance analysis of aodv with fuzzy based node traversal time using different scheduling techniques in manet. International Journal for Scientific Research Development Vol.3, pp.1085-1089.
  8. Jaiswal, R. K. and Jaidhar, C. D. 2015. An applicability of aodv and olsr protocols on ieee 802.11p for city road in vanet. In Internet of Things, Smart Spaces, and Next Generation Networks and Systems. Springer International Publishing, pp.286-298. DOI: https://doi.org/10.1007/978-3-319-23126-6_26
  9. Kim, H.-C. and Chung, S.-M. 2005. A study of optimization using state space survey in ad hoc network. Journal of the Korea Institute of Military Science and Technology Vol.8, pp.68-76.
  10. Kumar, C., Tyagi, N., Tripathi, R., Kumar, M. L. P., Sharma, D. K., and Biswash, S. K. 2011. An efficient routing protocol for ad-hoc networks. In Advances in Computing and Communications, A. Abraham, J. L. Mauri, J. F. Buford, J. Suzuki, and S. M. Thampi, Eds. Springer Berlin Heidelberg, Heidelberg Berlin, pp.11-20. DOI: https://doi.org/10.1007/978-3-642-22709-7_2
  11. Ledy, J., Poussard, A., Vauzelle, R., Hilt, B., and Boeglen, H. 2012. Aodv enhancements in a realistic vanet context. In 2012 International Conference on Wireless Communications in Underground and Confined Areas. IEEE, France Clermont-Ferrand, pp.1-5. DOI: https://doi.org/10.1109/ICWCUCA.2012.6402482
  12. Li, X.-Y. 2008. Wireless ad hoc and sensor networks. Cambridge University Press. DOI: https://doi.org/10.1017/CBO9780511754722
  13. Naik.L, L., Khan, R., and Mishra, R. 2015. Analysis of performance enhancing parameters of aodv using ns-3. African Journal of Computing ICT Vol.8, pp.87-94.
  14. Perkins, C., Belding-Royer, E., and Das, S. 2003. Ad hoc on-demand distance vector (aodv) routing. Request for Comments: 3561. DOI: https://doi.org/10.17487/rfc3561
  15. Priyambodo, T. K., Wijayanto, D., and Gitakarma, M. S. 2021. Performance optimization of manet networks through routing protocol analysis. Computers Vol.10, No.1. DOI: https://doi.org/10.3390/computers10010002
  16. Raju, K. and Setty, S. 2015. Artificial neural network based decision on parameter values in aodv to enhance the performance of mobile ad hoc networks. International Journal of Computer Science and Information Technologies Vol.6, pp.4375-4377.
  17. Raju, K. N. and Setty, S. P. 2012. Design and analysis of fuzzy based node traversal time aodv for improving the qos in mobile ad hoc networks. International Journal of Computer Applications Vol.58, pp.39-42. DOI: https://doi.org/10.5120/9313-3545
  18. Rivoirard, L., Wahl, M., Sondi, P., Berbineau, M., and Gruyer, D. 2017. Performance evaluation of aodv, dsr, grp and olsr for vanet with real-world trajectories. In 2017 15th International Conference on ITS DOI: https://doi.org/10.1109/ITST.2017.7972224
  19. Telecommunications (ITST). IEEE,Warsaw, Poland, pp.1-7.
  20. Saini, T. K. and Sharma, S. C. 2020. Recent advancements, review analysis, and extensions of the aodv with the illustration of the applied concept. Ad Hoc Networks Vol.103, pp.102148. DOI: https://doi.org/10.1016/j.adhoc.2020.102148
  21. Samarathunga, C., Abouelseoud, M., Sakoda, K., and Hashemi, M. 2020. Multi-hop routing with proactive route refinement for 60 ghz millimeter-wave networks. In 2021 IEEE 18th Annual Consumer Communications Networking Conference (CCNC). IEEE, pp.1-5. DOI: https://doi.org/10.1109/VTC2021-Spring51267.2021.9448838
  22. Wahl, M., Sondi, P., and Rivoirard, L. 2020. Enhanced cbl clustering performance versus grp, olsr and aodv in vehicular ad hoc networks. Telecommunication Systems Vol.76, pp.525-540. DOI: https://doi.org/10.1007/s11235-020-00734-1