MoCAAS :سیستم عامل مزایده با استفاده از یک عامل مشترک تلفن همراه در تجارت الکترونیک

To get the items that a buyer wants in an Internet auction, he must search for the items through several auction sites. When the bidding starts, the buyer needs to connect to these auction sites frequently so that he can monitor the bid states and re-bid. A reserve-price auction reduces the number of connections, but this limits the user's bidding strategy. Another problem is equity between the buyer and the seller. Both the buyer and the seller should profit within proper limits. In this paper, we propose an auction agent system using a collaborative mobile agent and a brokering mechanism called MoCAAS (Mobile collaborative auction agent system), which mediates between the buyer and the seller and executes bidding asynchronously and autonomously. This reduces the network load more than with other auction-agents, offers more intelligent bidding, and increases the clear ratio.

Though ECs technology has grown steadily, it is still difficult to implement the negotiation between a buyer and a seller online. The Internet auction has been widely expanded as an alternative solution (Lee, Choi, Kim, & Lee, 1999). However, to search for items, monitor bid states, and re-bid, users need to connect to the auction site frequently. Also, first-time buyers do not know bidding strategies nor an item's value; therefore a competitor may cheat them, and they may lose the chance to buy items at a cheaper price. As a result, they may not buy the items that they want, or they may pay too much. When the above problems are solved, the Internet auction will become a generalized EC market. Thus, in this paper, we propose an auction agent system called MoCAAS (Mobile collaborative auction agent system), which mediates between the buyer and the seller and executes bidding autonomously for the buyer. When a buyer submits a reserve-price and the identity of an item, the agent searches for the item among registered auctions. It then recommends auctions to the buyer and informs the buyer of the expected price for the item. When the buyer selects the best among the recommended auctions, the agent executes bidding for the buyer. This section of our paper presents an overview of the MoCAAS system and its benefits. Section 2 presents an overview of the auction, the auction agent, and the collaborative mobile agent. Section 3 presents the architecture and workflow of MoCAAS. Section 4 presents the bidding processes of MoCAAS. Section 5 presents the brokering algorithm of MoCAAS. Section 6 reports experimental evaluation results. Finally, Section 7 presents a brief summary and future considerations.

We have designed and implemented a system whereby a mobile agent substitutes for a buyer efficiently. A mobile agent mechanism reduces user operations and network load. The broker-agent serves to implement the coordination of bids across multiple auction sites. This agent uses a modified Mth-price, (M+1)st-price algorithm so that it increases the clear ratio. In the wireless Internet environment, communication costs rise in proportion to a rise in network load. The effect is greater than in the wire Internet environment. Therefore, using MoCAAS in the wireless Internet environment results in a greater profit than in the wire Internet environment. To achieve this, we propose deploying part of MoCAAS into wireless devices or make new components so that MoCAAS can connect with wireless devices.