Abstract
Wireless sensor networks (WSN) are an emerging technology based on the progress of electrical and mechanical engineering, as well as computer science in the last decade. In this work, a FIS (Fuzzy Inference System) approach is used to increase the energy efficiency of a preamble sampling MAC (Media Access Control) protocol for WSN. The FIS replaces a traditional average approach reducing the number of sampling points and the processing time required by the traditional approach. In addition, the FIS is designed to have a small memory footprint and fast response; this considering that the FIS must be implemented in WSN nodes that use microcontroller that are limited in memory and processing speed. The result of using the FIS approach shows up to 90% reduction (best case scenario) on the waste of energy consumed by overhearing having an increment of energy efficiency.
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Aguilar, L., Castillo, O., García-Macías, J.A., Licea, G. (2010). Increasing Energy Efficiency of a Preamble Sampling MAC Protocol for Wireless Sensor Networks Using a Fuzzy Logic Approach. In: Castillo, O., Kacprzyk, J., Pedrycz, W. (eds) Soft Computing for Intelligent Control and Mobile Robotics. Studies in Computational Intelligence, vol 318. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15534-5_8
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DOI: https://doi.org/10.1007/978-3-642-15534-5_8
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