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

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 beca...

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Bibliographic Details
Published in:International journal of computer applications 2012-01, Vol.44 (8), p.37-42
Main Authors: Bhole, Ashish T, Ranade, Shital
Format: Article
Language:English
Subjects:
Algorithms
Correlation
Gain
Internet
Mathematical models
Mining
Networks
Tasks
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Summary: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.
ISSN:0975-8887
0975-8887
DOI:10.5120/6286-8473