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Integrating WSN Simulation into Workflow Testing and Execution

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Book cover Sensor Systems and Software (S-CUBE 2010)

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Abstract

Sensor networks are gaining momentum in various fields, notably in industrial and environmental monitoring, and more recently in logistics. The information gathered from the environment (by sensor networks) may influence the execution of workflows, making it difficult to test these systems as a whole. Generally, the tests carried out on the aforementioned systems make use of recorded information in earlier workflow executions. Alternatively, we propose the testing of such workflows by incorporating results obtained from the simulation of sensor network applications, allowing the testing of new workflows, as well as of the changes made to a given workflow by events in the environment. This paper describes a means of integrating existing platforms with the aim of introducing the simulation of sensor networks in workflow testing and execution.

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Authors and Affiliations

  1. LaSIGE & Departamento de Informática, Faculdade de Ciências da Universidade de Lisboa, Edifí-cio C6 Piso 3, Campo Grande, 1749 - 016, Lisboa, Portugal

    Duarte Vieira & Francisco Martins

Authors
  1. Duarte Vieira
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  2. Francisco Martins
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Editors and Affiliations

  1. School of Computing and Information Engineering, University of Ulster, Cromore Road, BT52 1SA,, Coleraine, Co. Londonderry, Northern Ireland, United Kingdom

    Gerard Par

  2. School of Computing and Information Engineering, University of Ulster, Cromore Road, BT52 1SA, Coleraine, Co. Londonderry, Northern Ireland, United Kingdom

    Philip Morrow

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© 2011 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Vieira, D., Martins, F. (2011). Integrating WSN Simulation into Workflow Testing and Execution. In: Par, G., Morrow, P. (eds) Sensor Systems and Software. S-CUBE 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 57. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23583-2_15

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  • DOI: https://doi.org/10.1007/978-3-642-23583-2_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23582-5

  • Online ISBN: 978-3-642-23583-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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