Super Node Approach to Enhance Performance in Mobile Ad-hoc Network

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2017 by IJETT Journal
Volume-51 Number-3
Year of Publication : 2017
Authors : Shital P. Thakkar, Aditya Kumar Jain
DOI :  10.14445/22315381/IJETT-V51P221

Citation 

Anzar Ahmad, Dr.R.C Joshi "Super Node Approach to Enhance Performance in Mobile Ad-hoc Network", International Journal of Engineering Trends and Technology (IJETT), V51(3),120-124 September 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
The implementation of MANET for commercial purposes is not an easy task. Unlike other communication networks, wireless Mobile Adhoc Networks encounter many severe problems concerning routing, scalability and network management when the size of network becomes large. As a solution to these problems, clustering schemes are introduced for mobile ad-hoc network in order to organize the network topology . Many clustering techniques have been developed so far. Clustering is a method which divides large network nodes into small number of nodes which is known as clustering .Clustering improves network capacity and reduces the routing overhead and brings more efficiency and effectiveness to scalability and high mobility. Every cluster has one cluster leader which has much responsibility such as cluster maintenance, routing table updates, and the discovery of routes within the network. The other node named as gateway node setup the communication between two clusters. In this present approach the election of cluster head (CH) and gateway node separately has been removed completely. In the proposed technique cluster head node and gateway node is replaced by a solo node which is known as super node(SN). All the functions and responsibilities of cluster leader and gateway node is handled by the super node. An algorithm table is introduced in such a way that if super node goes down or walk away due to any reason then in the absence of super node which node will overtake the task of super node. This unique approach is simulated and compared with existing approach with the help of Exata simulator. The proposed approach reduces overheads and hence improve the overall efficiency and performance of the network.

Reference
[1] Ismail Ghazi ShayebA et al.Survey of Clustering Schemes for Mobile Ad-Hoc Network (MANET) American Journal of Scientific Research ISSN 1450- 223X Issue 20(2011), pp.135-151 © EuroJournals Publishing,Inc.2011 http://www.eurojournals.com/ajsr.htm
[2] Anzar Ahamd et al. “A Cluster Head Gateway Approach For Deciding The Cluster Head In Mobile Adhoc Network” "International Conference on Computer Networks and Security" World Academic of Science Engineering and Technology(WASET) Journal in Singapore December 2011 ICCNS 2010
[3] Pin-Chuan Liu, Da-You Chen and Chin-Lin Hu,” Analyzing The TCP Performance On Mobile Ad-Hoc Networks”, International Conference 2011.
[4] R.S.Shaji ,R.S.Rajesh ,F.Rajeshand Ramakrishnan, “A Novel Routing And Service Migration Scheme For Communication Among Heterogeneous Devices in Pervasive Environment”, “International Conference On Computer Communication And Electrical Technology”, March 2011.
[5] Miguel A.Wister,Pablo Pancardo and Dante Avias- Torres,”Performance Evaluation Of AODV and DYMO s a Plattform for Rescue Task Applications in MANETS”,“International Conference On Advanced Information Networking And Applications”2011.
[6] Meysam Alikhany and Mohdi Abadi , “A Dynamic Clustering Based Approach For Anomaly Detection in AODV Based MANETS” , “International Symposium On Computer Networks and Distributed ystems”,2011.
[7] HiuLi, Xiaoguang Zhang,Ying Liu , “Energy Efficient Routing Based on Ant Colony Algorithm In Mine Equipment Monitoring”,
[8] M.Q.Rafiq, M.Chauhan, S.Kumar, S.Husain “Mathematical simulation of Cochannel Interference Ratio for the Omni Directional Antenna in Mobile Computing” NCAICT, CSI Allahabad chapter, India,15-16 March,2008.
[9] M.Q.Rafiq, S.R Chauduri, S.Kumar, S.Husain “Deciding the Cluster Size on Behalf of Co- channel InterferenceRatio the Omni Directional Antenna in Mobile Computing”ISTE day conference New Delhi Chapter 31st May - June,08.
[10] P.Krishna, M.Chatterjee, N.H Vaidya,& D.K an,” A Cluster based Approach for routing in Adhoc networks”, Proceeding of 2nd SENIX Symposium on Mobile and Location Independent Computing.P.1 1995
[11] David B. Johnson and David A.Maltz, “Dynamic source routing in adhoc wireless networks”. In Mobile Computing edited by Tomasz Imielinski and Hank Korth, chapter 5, pages 153-181. Kluwer Academic Publishers.
[12] David B. Johnson and David A. Maltz, “Protocols for adap tive wireless and mobile computing”. In IEEE Personal Communications , 3(1), February 1996.
[13] Stephen Kent and Randall Atkinson, “Security Architecture for the Internet Protocol”, Internet draft, draft-ietf-sec- arch-sec-07.txt, July 1998.
[14] Vincent D. Park and M. Scott Corson, “A performance comparison of the Temporally-Ordere Routing Algorithm And Ideal Link-state routing”. In Proceedings of IEEE Symposium on Computers and Communication ’98 , June 1998.
[15] I. Er and W. Seah, “Mobility-based d-hop clustering algorithm for mobile ad hoc networks,” in Wireless Communications and Networking Conference, 2004. WCNC. 2004 IEEE, vol. 4, 2004, pp. 2359-2364.
[16] B.Das, E. Sivakumar,V Bhargavan,”Routing in backbone network using a virtual backbone”, Proceeding of 6th International Conference on computer communication and network (IC3N’97),1997.
[17] B.Das,V Bhargavan,”Routing in adhoc network using a spine”, IEEE International Conference on computer &communication network (ICC’97),1997.
[18] J. Wu and J. Cao, “Connected k-hop clustering in ad hoc networks,” in ICPP ’05: Proceedings of the 2005 International Conference on Parallel Processing (ICPP’05). Washington, DC, USA: IEEE Computer Society,2005, pp. 373-380.
[19] Dharma Prakash Agrawal and Qing- An Zeng,” Introduction to Wireless and Mobile System” University of Cincinnati.
[20] Mobile Ad -hoc Networks (MANET). URL: http://www.ietf.org/html.charters/manet-charter.html. (1998- 11-29).
[21] L. Wang and S. Olariu, “Cluster maintenance in mobile ad-hoc networks,”Cluster Computing, vol. 8, no. 2- 3,pp.111- 118, 2005.
[22] T. C. Hou and T. J. Tsai, “An access-based clustering protocol for multihop wireless ad hoc networks,” IEEE JSAC, vol. 19, no. 7, pp.1201-1210, 2001.
[23] I. Er and W. Seah, “Mobility-based d-hop clustering algorithm for mobile ad hoc networks,” in Wireless Communications and Networking Conference, 2004. WCNC. 2004 IEEE, vol. 4, 2004, pp. 2359-2364.
[24] J. Wu and J. Cao, “Connected k-hop clustering in ad hoc networks,” in ICPP ’05: Proceedings of the 2005 International Conference on Parallel Processing (ICPP’05). Washington, DC, USA: IEEE Computer Society,2005, pp. 373-380.
[25] V.Vetri Selvi and Ranjani Parthasarathi,“Trace Based Mobility Model to Support Quality of Service in Ad Hoc Networks”,Trusted Internet Workshop (TIW05) held along with 12th International Conference on High Performance Computing (HiPC2005), 18-21 Dec. 2005, India.
[26] S.S.Kulkarni, G.R.Dattatreya, H.Martinez and R.Soto “Adaptive Control of Heterogeneous Ad Hoc Networks”, Wireless Communications and Mobile Computing, Vol-4, 963-975, August 2004.
[27] Ram Ramanathan and Jason Redi, “A Brief Overview of Ad Hoc Networks - Challenges and Directions”, IEEE Communications Magazine 50th Anniversary Commemorative Issue, 20-22, May 2002.
[28] X. Hong, M. Gerla, G. Pei, and C.-C. Chiang, “A group mobility model for ad hoc wireless networks,” in MSWiM ’99: Proceedings of the 2nd ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems. New York, NY, USA: ACM Press, 1999, pp. 53- 60.
[29] C. Bettstetter, “The cluster density of a distributed clustering algorithm in ad hoc networks,” in Communications, 2004 IEEE International Conference on, vol. 7, 2004, pp. 4336- 4340.
[30] C. Prehofer and C. Bettstetter, “Self-organization in communication networks: principles and design paradigms,” IEEE Communications Magazine, vol. 43, no. 7, pp. 78-85, 2005.

Keywords
MANET, performance, efficiency, super node, scalability.