Abstract
The increased attention of E-auction services in mobile E-commerce demands an approach to identify the relevant auctions as per the bidder’s requirements so as to increase the bidder satisfaction level and auction winning probability. In this paper, we propose an intelligent agent based model to identify the relevant set of auctions for a mobile bidder based on the bidder’s requirements, preferences and constraints from a set of active auctions available in the active auction service directory in regional gateway connected to Internet. The agent functions are based on Belief, Desire and Intention (BDI) cognitive architecture and are capable of taking dynamic decisions to search the matching auctions for the products requested by the bidder in the bidder belief set located in the bidder’s mobile device and/or in the case base of the regional gateway. If matching auctions are not found in either of them, BDI agent searches them in the active auction service directory and computes the relevance factor based on the parameters in the bidder’s requirements for all the matching active auctions and clusters into relevant (or potential) and non relevant auctions. The model is simulated to test the performance measures like availability of relevant auctions, average response time, and probability of winning auctions with better satisfaction. The proposed model is also compared with advertisement based auction service discovery model to show its effectiveness.
Highlights
Mobile E-commerce is an emerging area of E-commerce that is defined as buying and selling of services, information or goods without any location restrictions, using mobile device which use wireless connections to establish communication between all necessary parties to complete the transaction
We propose an intelligent agent based model to identify the relevant set of auctions for a mobile bidder based on the bidder’s requirements, preferences and constraints from a set of active auctions available in the active auction service directory in regional gateway connected to Internet
We propose an intelligent agent based model to identify relevant set of auctions (English auctions are considered) for a mobile bidder based on bidder, auctioneers and network profiles from a set of active auctions available in the active auction service directory of regional gateway
Summary
Mobile E-commerce is an emerging area of E-commerce that is defined as buying and selling of services, information or goods without any location restrictions, using mobile device which use wireless connections to establish communication between all necessary parties to complete the transaction. A mechanism that provides autonomy, reliability and intelligent ability to deal with dynamic situations to identify the relevant set of auction services as per the bidder’s requirements and preferences is to be devised To devise such a mechanism, software agent paradigm comprising intelligent static and mobile agents can be adopted for E-business applications [2,3]. A software agent is a computer program which works towards goals in a dynamic environment on behalf of another entity (human or computational) without continuous direct supervision or control and exhibits a significant degree of flexibility and even creativity in how it seeks to transform goals into action tasks These agents can be static or mobile in nature. They tackle major issues in wireless networks such as low bandwidth, high latency, limited battery, limited computing ability, poor display and input mechanism, expensive connection time, frequent disconnections, ubiquity, personalization and flexibility of services
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
