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Approach of Association Rules Mining for Service Discovery in Mobile Adhoc Network

by Ashish T. Bhole, Shital Ranade
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 44 - Number 8
Year of Publication: 2012
Authors: Ashish T. Bhole, Shital Ranade
10.5120/6286-8473

Ashish T. Bhole, Shital Ranade . Approach of Association Rules Mining for Service Discovery in Mobile Adhoc Network. International Journal of Computer Applications. 44, 8 ( April 2012), 37-42. DOI=10.5120/6286-8473

@article{ 10.5120/6286-8473,
author = { Ashish T. Bhole, Shital Ranade },
title = { Approach of Association Rules Mining for Service Discovery in Mobile Adhoc Network },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 44 },
number = { 8 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 37-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume44/number8/6286-8473/ },
doi = { 10.5120/6286-8473 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:35:02.649565+05:30
%A Ashish T. Bhole
%A Shital Ranade
%T Approach of Association Rules Mining for Service Discovery in Mobile Adhoc Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 44
%N 8
%P 37-42
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The Service Discovery in Mobile Ad hoc Networks (MANET) is a difficult task because of the changing nature of such networks. Different services are available in MANET considering time and location. Many varying traditional solutions to service discovery of Internet are not well suited for MANET because of their Ad hoc nature. Consequently, Service Discovery (SD) in the network a perquisite for efficient usage of network resources is a complex problem. In this work Association Rules mining algorithm are used to get service discovery. Using the correlation among the services and piggybacking future service request answers along with current service requests, there is significant gain in performance. Two algorithms of association rules mining are used for discovering the services in MANET. FPTree algorithm is already been used for service discovery. We have approached towards Apriori algorithm for service discovery in MANET with the significant gain in performance.

References
  1. Feng Zhu, Matt Mutka and Lionel Ni, "Service Discovery in Pervasive Computing Environments", IEEE Pervasive Computing, Volume 4, Issue 4, pp. 81-90, October 2005.
  2. Jini Technology Core Platform Specification, v. 2. 0, Sun Microsystems, 2003.
  3. UDDI Version 3. 0 Published Specification, [Online] Available: http://www. uddi. org, Jul. 2002.
  4. Dipanjan Chakraborty, F. P. , Sasikanth Avancha and Anupam Joshi, "DReggie : Semantic Service Discovery for M-Commerce Applications", in Reliable and Secure Applications in Mobile Environment in Conjunction with 20th Symposium on Reliable Distributed Systems (SRDS), 2001.
  5. Mallah R. A. and A. Quintero, "A Light-Weight Service Discovery Protocol for Ad Hoc Networks", Journal of Computer Science, pp. 330-337, 2009.
  6. Olga Ratsimor, D. C. , Anupam Joshi and T. Finin, "Allia: Alliance-based Service Discovery for Adhoc Environments", in WMC '02: Proceedings of the 2nd International Workshop on Mobile commerce, ACM Press, 2002.
  7. S. Helal, N. D, V. Verma and C. Lee, "Konark - A Service Discovery and Delivery Protocol for Ad hoc Networks", in 3rd IEEE Conference on Wireless Communication Networks (WCNC), 2003.
  8. Chakraborty, A. J. "GSD : A Novel Group-based Service Discovery Protocol for MANETS", in 4th IEEE Conference on Mobile and Wireless Communications Networks (MWCN 2002), Stockholm, Sweden, 2002.
  9. M. Nidd, "Service Discovery in DEAPspace", in IEEE Personal Communications, pp. 39-45, 2001.
  10. Understanding Universal Plug and Play, 2000, Microsoft UPnP forum [Online] Available: http://www. upnp. org.
  11. E. Guttman, C. P. , J. Veizades and M. Day, "Service Location Protocol, Version 2", IETF RFC 2608, 1999.
  12. Basavaraj Talwar, P. V. a. L. M. P. , "A Method for Resource and Service Discovery in MANET", Wireless Personal Communications, pp. 301-323, 2007.
  13. Hu Jia Ying, "Service Mining for Composite Service Discovery", in Computer Science and Information Engineering, National Central University, 2006
  14. Jabas A. , R. M. Garimella and S. Ramachandram, "MANET Mining: Mining Temporal Association Rules", in International Symposium on Parallel and Distributed Processing with Applications, Sydney, NSW, Australia, 2008.
  15. Noman Islam, Zubair A. Shaikh, "Service Discovery in Mobile Ad hoc Networks Using Association Rules Mining", IEEE 13th International Multitopic Conference, 2009.
  16. Barr R. , Z. J. Haas and R. V. Renesse, "JiST: An Efficient Approach to Simulation using Virtual Machines", in Software Practice & Experience, Vol. 35, No. 6, pp. 539-576, 2005.
  17. Barr R. , Z. J. Haas and R. V. Renesse, "Scalable Wireless Ad hoc Network Simulation", in Handbook on Theoretical and Algorithmic Aspects of Sensor, Adhoc Wireless and Peer-to-Peer Networks, pp. 297-311, 2005.
Index Terms

Computer Science
Information Sciences

Keywords

Service Discovery Association Rules Mining Fptree Algorithm Apriori Algorithm

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