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Simulation and Evaluation of Mixed-Mode Environments: Towards Higher Quality of Simulations

  • Vinay Sachidananda
  • Diego Costantini
  • Christian Reinl
  • Dominik Haumann
  • Karen Petersen
  • Parag S. Mogre
  • Abdelmajid Khelil
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6472)

Abstract

For rescue and surveillance scenarios, the Mixed-Mode Environments (MMEs) for data acquisition, processing, and dissemination have been proposed. Evaluation of the algorithms and protocols developed for such environments before deployment is vital. However, there is a lack of realistic testbeds for MMEs due to reasons such as high costs for their setup and maintenance. Hence, simulation platforms are usually the tool of choice when testing algorithms and protocols for MMEs. However, existing simulators are not able to fully support detailed evaluation of complex scenarios in MMEs. This is usually due to lack of highly accurate models for the simulated entities and environments. This affects the results which are obtained by using such simulators. In this paper, we highlight the need to consider the Quality of Simulations (QoSim), in particular aspects such as accuracy, validity, certainty, and acceptability. The focus of this paper is to understand the gap between real-world experiments and simulations for MMEs. The paper presents key QoSim concepts and characteristics for MMEs simulations, describing the aspects of contents of simulation, processing of simulation, and simulation outputs. Eventually, a road map for improving existing simulation environments is proposed.

Keywords

Sensor Network Sensor Node Wireless Sensor Network Mobile Robot Model View 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Vinay Sachidananda
    • 1
  • Diego Costantini
    • 1
  • Christian Reinl
    • 1
  • Dominik Haumann
    • 1
  • Karen Petersen
    • 1
  • Parag S. Mogre
    • 1
  • Abdelmajid Khelil
    • 1
  1. 1.Research Training Group “Cooperative, Adaptive and Responsive Monitoring in Mixed-Mode Environments”Technische Universität DarmstadtDarmstadtGermany

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