• Journal of KIISE:Software and Applications
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• v.32 no.11
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• pp.1099-1110
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• 2005

As auctions become popular, developing good agent bidding strategies has been an important focus in agent-based electronic commerce research. Especially for the continuous double auctions where no single dominant strategy is known, the agent bidding strategy has practical significance. This paper introduces an adaptive agent strategy for the countinuous double auction. The central idea is to let the agent figure out at run time when the sophisticated strategy (called the p-strategy) is beneficial and when a simpler strategy is better. Balance between exploration and exploitation is achieved by using a heuristic exploration function that trades off the expected profits and the number of tries of each strategy. We have experimentally evaluated the performance of the adaptive strategy in a wide variety of environments. The experiment results indicate that the adaptive strategy outperforms the plain p-strategy when the p-strategy performs poorly, while it performs similar to the p-strategy when the p-strategy dominates the other simple strategies.

• Journal of the Korea Society for Simulation
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• v.16 no.2
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• pp.27-35
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• 2007

When sensor networks are deployed in open environments, all the sensor nodes are vulnerable to physical threat. An attacker can physically capture a sensor node and obtain the security information including the keys used for data authentication. An attacker can easily inject false reports into the sensor network through the compromised node. False report can lead to not only false alarms but also the depletion of limited energy resource in battery powered sensor networks. To overcome this threat, Fan Ye et al. proposed that statistical on-route filtering scheme(SEF) can do verify the false report during the forwarding process. In this scheme, the choice of a security threshold value is important since it trades off detection power and energy, where security threshold value is the number of message authentication code for verification of false report. In this paper, we propose a fuzzy rule-based system for security threshold determination that can conserve energy, while it provides sufficient detection power in the SEF based sensor networks. The fuzzy logic determines a security threshold by considering the probability of a node having non-compromised keys, the number of compromised partitions, and the remaining energy of nodes. The fuzzy based threshold value can conserve energy, while it provides sufficient detection power.