IJSTR

International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Blog/Latest News Contact Us
0.2
2019CiteScore
 
10th percentile
Powered by  Scopus
Scopus coverage:
Nov 2018 to May 2020

CALL FOR PAPERS
AUTHORS
DOWNLOADS
CONTACT

IJSTR >> Volume 7 - Issue 4, April 2018 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Effects Of Mobility On Adhoc Routing Protocols Model

[Full Text]

 

AUTHOR(S)

Raham Mehmood Niazi, Muhammad Ubaid Mehmood Khan

 

KEYWORDS

MANET, ROUTE-REQ, NAM, SDR.

 

ABSTRACT

Mobile ad-hoc network (MANET) generally known as the ad-hoc temporary network, used for an exchange of messages from node to node, it doesn’t depend on its previous deployed infrastructure. Mobile devices that are a broadcaster in nature are capable of wireless communication and enable the creation of a large ubiquitous adhoc network. Users that are in a range of these nodes forming a MANET can have access to resources at any time and at any place. However, due to the constant traffic of nodes, the link between the nodes is constantly being destroyed, so the architecture faces a dynamically unstable topology. The mobility of nodes can have a dark effect on the topology of MANET. Therefore, understanding the impact of mobility on MANET is very important. The important feature of MANET is mobility of nodes that form a dynamic topology. This paper emphasizes on the effect of mobility on the MANET when using these two protocols; first is DSR (Reactive Protocol) and the other is DSDV (Proactive Protocol). For experimental dedications, we consider 4 mobile models: random waypoints, random point group model, freeways, and Manhattan models. We choose these four types of moving model to indicate the possibility of practical use. The paper will analyze that performance of routing protocols differs according to unstable patterns of mobility, due to node’s density, and data transmitted path length.

 

REFERENCES

[1] Haas, Z. J., Deng, J., Liang, B., Papadimitratos, P., & Sajama, S. (2002). Wireless ad hoc networks.Encyclopedia of Telecommunications.

[2] Tripathy, B. K., Sudhir, A., Bera, P., &Rahman, M. A. (2017, July). Formal Modelling and Verification of Requirements of Adaptive Routing Protocol for Mobile Ad-Hoc Network. In Computer Software and Applications Conference (COMPSAC), 2017 IEEE 41st Annual (Vol. 1, pp. 548-556). IEEE.

[3] Ferrag, M. A., Maglaras, L., &Ahmim, A. (2017). Privacy-preserving schemes for ad-hoc social networks: A survey. IEEE Communications Surveys & Tutorials.

[4] Lin, G., Noubir, G., &Rajaraman, R. (2004, March). Mobility models for ad hoc network simulation. In INFOCOM 2004.Twenty-third AnnualJoint Conference of the IEEE Computer and Communications Societies (Vol. 1).IEEE.

[5] Hess, A., Hummel, K. A., Gansterer, W. N., & Haring, G. (2016). Data-driven human mobility modeling: a survey and engineering guidance for mobile networking. ACM Computing Surveys (CSUR), 48(3), 38.

[6] Bai, F., &Helmy, A. (2004). A survey of mobility mod-els.Wireless Adhoc Networks.University of Southern California, USA, 206, 147.

[7] Broch, J., Maltz, D. A., Johnson, D. B., Hu, Y. C., &Jetcheva, J. (1998, October). A performance comparison of multi-hop wireless ad hoc network routing protocols.In Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking (pp. 85-97).ACM.

[8] Tang, Z., & Garcia-Luna-Aceves, J. J. (2000). Collision-avoidance transmission scheduling for ad-hoc networks.In Communications, 2000.ICC 2000.2000 IEEE International Conference on (Vol. 3, pp. 1788-1794).IEEE.

[9] Kumar, S., Sharma, S. C., &Suman, B. (2010). Mobility metrics based classification & analysis of mobility model for the tactical network. International Journal of Next-Generation Networks, 2(3), 39-51.

[10] Chitkara, M., & Ahmad, M. W. (2014). Review on MANET: characteristics, challenges, imperatives and routing protocols. International Journal of Computer Science and Mobile Computing, 3(2), 432-7.

[11] Singh, D., Sharma, B. K., & Kumar, A. (2014). A survey on challenges in multipath routing for adhoc networks. International Journal of Emerging Technology and Advanced Engineering, ICADET-14, India (2250-2459), 4(1).

[12] Qiu, T., Chen, N., Li, K., Qiao, D., & Fu, Z. (2017). Heterogeneous ad hoc networks: Architectures, advances, and challenges. Ad Hoc Networks, 55, 143-152.

[13] I. Chlamtac, A. Lerner, Fair algorithms for maximal link activation

[14] in multi-hop radio networks, IEEE Transactions on Communications COM-35 (7) (1987)

[15] Santosh Kumar, S. C. Sharma, BhupendraSuman. Mobility metrics based classification & analysis of mobility model for a tactical network, International Journal of Next-Generation Networks (IJNGN); 2010. 2(3): 39-51.

[16] IETF Mobile Ad-hoc Networking (manet) Working Group. http://www.ietf.org/html.charters/manet-charter.html, 2004.

[17] Sabina Barakovie and JasminaBarakovie, “Comparative Performance Evaluation of Mobile Ad hoc Routing Protocols”, MIPRO May 2010.

[18] Perkins Charles E, BhagwatPravin, "Highly Dynamic Destination-Sequenced Distance-Vector routing", for mobile computers, Proc. of the SIGCOMM '94

[19] D.B Johnson, D.A Maltz, and Yih-Chun Hu., “The Dynamic Source Routing Protocol for Mobile Ad Hoc Networks (DSR)”, Internet draft (draft-ietf-manet-dsr- 10.txt), 19 July 2004.

[20] C. Perkins E. Belding-Royer, and S.Das, “Ad hoc OnDemand Distance Vector (AODV) Routing", RFC 3561, July 2003.

[21] D.B. Johnson, D.A. Maltz, J. Broch, DSR: the dynamic source routing protocol for multi-hop wireless ad hoc networks, in: C. Perkins (Ed.), Ad Hoc Networking, Addison-Wesley, Reading, MA, 2001, pp. 139–172.

[22] C.E. Perkins, P. Bhagwat, Highly dynamic destination sequenced distance vector routing (DSDV) for mobile computers, in: ACM SIGCOMM, 1994, pp. 234–244.

[23] C. Perkins, Ad hoc on demand distance vector (AODV) routing, internet draft, draft-ietf-manet-aodv-00.txt. [8] X. Hong, M. Gerla, G. Pei, C.-C. Chiang, A group mobility model for ad hoc wireless networks, in: ACM/ IEEE MSWiM, August 1999.

[24] J. Broch, D.A. Maltz, D.B. Johnson, Y.-C. Hu, J. Jetcheva, A performance comparison of multi-hop wireless ad hoc network routing protocols, in: Proceedings of the Fourth Annual ACM/IEEE International Conference on Mobile Computing and Networking, ACM, October 1998.

[25] S.R. Das, C.E. Perkins, E.M. Royer, the Performance comparison of two on-demand routing protocols for ad hoc networks, in: INFOCOM, March 2000.

[26] Reliability Evaluation of Mobile Ad Hoc Network: With and Without Mobility Consideration

[27] V.D. Park, M.S. Corson, Temporally-ordered routing algorithm (TORA) version 1: functional specification, internet-draft, draft-ietf-manet-tora-spec-01.txt, August 1998.
[28] P. Johansson, T. Larsson, N. Hedman, B. Mielczarek, M. Degermark, Scenario-based performance analysis of routing protocols for mobile ad-hoc networks, in: International Conference

[29] User Manual for IMPORTANT Mobility Tool Generator in NS-2 Simulator. http://nile.usc.edu/important/software.htm , Release Date February 2004

[30] Mobility Generator (version 1.0) from the site, http://nile.usc.edu/important/software.htm, February 2004 erence on Mobile Computing and Networking (MobiCom99), 1999, pp. 195–206.

[31] Divecha, B., Abraham, A., Grosan, C., &Sanyal, S. (2007). Impact of node mobility on MANET routing protocols models. JDIM, 5(1), 19-23

[32] Bai, F., Sadagopan, N., &Helmy, A. (2003). The IM-PORTANT framework for analyzing the Impact of Mobility on Performance Of RouTing protocols for AdhocNeTworks. Ad hoc networks, 1(4), 383-403.