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 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 paper 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.