Auction Service Discovery Model - An Agent Based Approach

To support m-commerce applications such as mobile e-auctions, an efficient service discovery mechanism is required in a scenario where service directories are stored on distributed servers and users are mobile. E-auction services discovery in dynamic mobile environments poses many challenges such as dynamism in E-market, service access time, service filtering, lack of automated tools for searching and limitations of mobile devices. In this paper, we address the aforesaid challenges by using Belief Desire Intention (BDI) architecture based agents to achieve the following, 1) improve the service access time of the e-auction services search mechanism, 2) filtering the e-auction service list according to user and time context and 3) automate the e-auction service search process by using mobile agents. The partial simulation of the proposed work is done to analyze the performance parameters such as e-auction service request hit ratio and access time.