• Journal of Institute of Control, Robotics and Systems
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• v.5 no.5
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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.

• Proceedings of the IEEK Conference
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• 2007.07a
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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.