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UAI '88 Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence
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HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
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IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
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IEEE Transactions on Signal Processing
IEEE Communications Magazine
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International Journal of Sensor Networks
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Future Generation Computer Systems
International Journal of Sensor Networks
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Large-scale wireless sensor applications require that the Wireless Sensor Network (WSN) be sufficiently intelligent to make decisions or tradeoffs within a partially uncertain environment. Such intelligence is difficult to model because the sensor nodes are resource-bounded, especially on energy supply. Within this paper, we model a WSN as a two-level multiagent architecture and introduce the concept of energy-aware and utility-based Belief, Desire, Intention (BDI) agents. We subsequently formalise the fuzzy-set-based belief-generating and theoretically deduce the rules of the meta-level reasoning of a WSN. We further apply a practical reasoning algorithm which enables cost awareness and status awareness within a WSN. A Tileworld-based simulation and subsequent comparison of the effectiveness of bold, cautious and energy-aware and utility-based agents demonstrates that an energy-aware and utility-based BDI agent outperforms other traditional agents, especially when the environment is highly dynamic.