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

  • Authors:

  • Edison Pignaton de Freitas;Bernhard Bösch;Rodrigo S. Allgayer;Leonardo Steinfeld;Flávio Rech Wagner;Luigi Carro;Carlos Eduardo Pereira;Tony Larsson

  • Affiliations:

  • School of Information Science, Computer and Electrical Engineering, Halmstad University, Halmstad, Sweden and Institute of Informatics, Federal University of Rio Grande do Sul, Brazil;School of Information Science, Computer and Electrical Engineering, Halmstad University, Halmstad, Sweden;Electrical Engineering Department, Universidade Federal do Rio Grande do Sul, Brazil;Electrical Engineering Institute, Universidad de la República, Uruguay;Institute of Informatics, Federal University of Rio Grande do Sul, Brazil;Institute of Informatics, Federal University of Rio Grande do Sul, Brazil;Institute of Informatics and Electrical Engineering Department, Universidade Federal do Rio Grande do Sul, Brazil;School of Information Science, Computer and Electrical Engineering, Halmstad University, Halmstad, Sweden

  • Venue:
  • NEW2AN'11/ruSMART'11 Proceedings of the 11th international conference and 4th international conference on Smart spaces and next generation wired/wireless networking
  • Year:
  • 2011

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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.