Abstract
Wireless sensor networks are composed of resource-constrained sensor nodes, powered by batteries, with limited CPU and memory, and wireless communication. In spite of the fact that sensor nodes are resource-constrained devices, several soft computing technologies have been adapted to them. In order to save battery, sensor nodes work in cycles based on awake and sleep modes. In this work we propose a method, based on a differential decision system, to calculate dynamic parameters that control the awake-sleep cycle in a multi-agent sensor structure and their propagation to other sensor nodes in a network. As an application of the proposed system, a sound pressure monitoring application is presented. Results have shown that the proposed method utilizes less work cycles than continuous measuring systems, saving battery and improving the lifetime of sensor nodes, with a reasonable lost of precision.
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© 2011 Springer-Verlag Berlin Heidelberg
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Cuevas-Martinez, J.C., Canada-Bago, J., Fernández-Prieto, J.A., Gadeo-Martos, M.A. (2011). Propagation of Agent Performance Parameters in Wireless Sensor Networks. In: Pérez, J.B., et al. Highlights in Practical Applications of Agents and Multiagent Systems. Advances in Intelligent and Soft Computing, vol 89. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19917-2_26
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DOI: https://doi.org/10.1007/978-3-642-19917-2_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19916-5
Online ISBN: 978-3-642-19917-2
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