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Performance Evaluation of an Intelligent Agents Based Model within Irregular WSN Topologies

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Abstract

There are many approaches proposed by the scientific community for the implementation and development of Wireless Sensor Networks (WSN). These approaches correspond to different areas of science, such as Electronics, Communications, Computing, Ubiquity, and Quality of Service among others. However, all are subject to the same constraints, because of the nature of WSN devices. The most common constraints of a WSN are the energy consumption, the network nodes organization, the sensor network’s task reprogramming, the reliability in the data transmission, the resource optimization (memory and processing), etc. In the Artificial Intelligence Area is has proposed an Distributed System Approach with Mobile Intelligent Agents. An Integration Model of Mobile Intelligent Agents within Wireless Sensor Network solves some of the constraints presented above on WSN´s topologies. However, the model only was tested on the square topologies. In this way, the aim of this paper is to evaluate the performance of this model in irregular topologies.

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Acknowledgments

The research work presented in this paper was partially sponsored by the research project of DIME (Research Bureau of UNAL at Medellin Campus), with time span 2008-2010, entitled: “Intelligent hybrid system model for monitoring of physical variables using WSN and Multi-Agent Systems” with code: 20201007312, also co-sponsored by the DIME’s project entitled: “Analysis, design and implementation of virtual instruments to monitor in-situ and remotely physical variables in controlled environments using WSN” with code: 20101006725, both from the National University of Colombia at Medellin Campus.

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Correspondence to Alberto Piedrahita Ospina .

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Ospina, A.P., Cañola, A.M., Carranza, D.O. (2010). Performance Evaluation of an Intelligent Agents Based Model within Irregular WSN Topologies. In: Sobh, T., Elleithy, K. (eds) Innovations in Computing Sciences and Software Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9112-3_99

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  • DOI: https://doi.org/10.1007/978-90-481-9112-3_99

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