Mobile agents model and performance analysis of a wireless sensor network target tracking application

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Abstract

Advances on wireless communication and sensor systems enabled the growing usage of Wireless Sensor Networks. This kind of network is being used to support a number of new emerging applications, thus the importance in studying the efficiency of new approaches to program them. This paper proposes a performance study of an application using high-level mobile agent model for Wireless Sensor Networks. The analysis is based on a mobile object tracking system, a classical WSN application. It is assumed that the sensor nodes are static, while the developed software is implemented as mobile agents by using the AFME framework. The presented project follows a Model-Driven Development (MDD) methodology using UML (Unified Modeling Language) models. Metrics related to dynamic features of the implemented solution are extracted from the deployed application, allowing a design space exploration in terms of metrics such as performance, memory and energy consumption. © Springer-Verlag Berlin Heidelberg 2011.

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De Freitas, E. P., Bösch, B., Allgayer, R. S., Steinfeld, L., Wagner, F. R., Carro, L., … Larsson, T. (2011). Mobile agents model and performance analysis of a wireless sensor network target tracking application. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6869 LNCS, pp. 274–286). https://doi.org/10.1007/978-3-642-22875-9_25

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