• 제어로봇시스템학회논문지
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• 제5권5호
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• pp.600-613
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• 1999

This paper focuses on development of a performance manager for IEEE 802.4 token bus networks to serve large-scale integrated systems. In order to construct the management algorithm, the principles of fuzzy logic, genetic algorithm, and neural network have been combined to represent human knowledge and to imitate of human inference mechanism. Through the simulation experiments, it is shown that the proposed performance manager is capable of improving the network performance without a priori knowledge.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2007년도 하계종합학술대회 논문집
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• pp.3-4
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• 2007

Wireless Sensor Network is a form of network which consumes relatively less data trasmisson rate and energy. In this type of network, minimizing the consumption of energy so that it maximizes life time is very important. To be able to improve the energy comsumption, we propose the mechnism to trasmit broadcasted packet according to level value with priority assiagned to each relay node.