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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Dynamic Threshold Control-Based Adaptive Message Filtering in Mobile Sensor Networks
verfasst von : Sung Ho Jang, Yong Beom Ma, Jong Sik Lee
Erschienen in: Computational Science and Its Applications – ICCSA 2009
Verlag: Springer Berlin Heidelberg
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The communication traffic for continuous data aggregation and location update is the main reason of short-lived mobile sensor networks because the energy consumption of sensor nodes is caused by the transmission of messages. For effective communication traffic management in mobile sensor networks, this paper proposes an dynamic threshold control-based adaptive message filtering method which utilizes diverse node parameters reflecting characteristics of mobile nodes, such as mobility and battery availability. In the proposed filtering method, each sensor node in a sensor filed filters out messages based on its distance threshold. In order to adjust the distance threshold by the condition of each node adaptively and dynamically, fuzzy logic is applied to the proposed filtering method. Empirical results approve that the proposed filtering method achieves more improved performance than existing filtering methods.