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  • 1.
    Brasil, M. A. B.
    et al.
    Education Department, Industrial Technical School, Federal University of Santa Maria, Santa Maria, 97105-900, Brazil.
    Bösch, Bernhard
    Halmstad University, School of Information Technology.
    Wagner, F. R.
    Institute of Informatics, Federal University of Rio Grande Do sul, Porto Alegre, 91509-900, Brazil.
    De Freitas, E. P.
    Institute of Informatics, Federal University of Rio Grande Do sul, Porto Alegre, 91509-900, Brazil.
    Performance Comparison of Multi-Agent Middleware Platforms for Wireless Sensor Networks2018In: IEEE Sensors Journal, ISSN 1530-437X, E-ISSN 1558-1748, Vol. 18, no 7, p. 3039-3049Article in journal (Refereed)
    Abstract [en]

    Despite the numerous possible applications of wireless sensor networks (WSNs), there is a key disadvantage related to the high complexity in programming WSNs, which is a result of their distributed and built-in features. To overcome this shortcoming, software agents have been identified as a suitable programming paradigm. The agent-based approach commonly uses a middleware for the execution of the software agents. In this regard, the present paper aims at comparing Java-based agent middleware platforms in their performance for the WSN application domain. Experiments were performed to analyze two versions of tracking applications, based on different agent models implemented for a given set of middleware platforms that support programming at a high-level of abstraction. The results highlight the differences in the resource consumption (CPU, memory, and energy) and in the communication overhead, providing an indication of suitability for each type of analyzed middleware, considering specific concerns while developing WSN applications. © 2001-2012 IEEE.

  • 2.
    de Freitas, Edison Pignaton
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES). Institute of Informatics, Federal University of Rio Grande do Sul, Brazil.
    Bösch, Bernhard
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
    Allgayer, Rodrigo
    Electrical Engineering Department, Universidade Federal do Rio Grande do Sul, Brazil.
    Steinfeld, Leonardo
    Electrical Engineering Institute, Universidad de la República, Uruguay.
    Wagner, Flávio
    Institute of Informatics, Federal University of Rio Grande do Sul, Brazil.
    Carro, Luigi
    Institute of Informatics, Federal University of Rio Grande do Sul, Brazil.
    Pereira, Carlos
    Institute of Informatics, Federal University of Rio Grande do Sul, Brazil; Electrical Engineering Department, Universidade Federal do Rio Grande do Sul, Brazil.
    Larsson, Tony
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
    Mobile Agents Model and Performance Analysis of a Wireless Sensor Network Target Tracking Application2011In: Smart spaces and next generation wired/wireless networking: 11th International Conference, NEW2AN 2011 and 4th Conference on Smart Spaces, RuSMART 2011, St. Petersburg, Russia, August 22 -25, 2011 ; proceedings / [ed] Sergey Balandin, Heidelberg: Springer Berlin/Heidelberg, 2011, Vol. 6869, p. 274-286Conference paper (Refereed)
    Abstract [en]

    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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