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    Item type:Publication, Access status: without files ,
    Promoting power to a first class metric in network simulations
    (VDE Verlag, 2010-02)
    Alizai, Muhammad Hamad
    ;
    Kunz, Georg
    ;
    Landsiedel, Olaf
    ;
    Wehrle, Klaus
    Accurate prediction of energy consumption early in the design process is essential to efficiently optimize algorithms and protocols. However, despite energy efficiency gathering significant attention in networking research, limited effort has been invested in providing requisite evaluation tools and models. Hence, developers demand powerful evaluation tools to assist them in comparing new communication paradigms in terms of energy efficiency, and minimizing the energy requirements of algorithms. In this paper, we argue for promoting energy to a first class metric in network simulations. We explore the challenges involved in modelling energy in network simulations and present a detailed analysis of different modelling techniques. Finally, we discuss their applicability in high-level network simulations.
    Publicationtype: Conference Paper
      15
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    Item type:Publication, Access status: without files ,
    Caplibrate: Self-calibration of an energy harvesting power supply with supercapacitors
    (IEEE, 2010-02)
    Renner, Bernd-Christian
    ;
    Turau, Volker
    Achieving perpetual and self-sustaining operation of wireless sensor nodes is an important topic of current research in the field of energy harvesting. Closely related to this is the employment of energy budgeting, i.e., effective utilization of available and future energy resources without pushing a node towards the hazard of energy depletion. Therefore, reliable prediction of node lifetime in context of the available energy within a given time is required. This in turn requires self-calibration of the sensor nodes and their energy harvesting supply. In this paper, we explore and assess models for a supercapacitor-based harvesting supply. The parameters of the models are discussed and determined, so that fast, reliable, and energy-efficient calibration becomes possible. Moreover, measurement results for a specific hardware platform are discussed and a roadmap for a self-calibration algorithm is presented.
    Publicationtype: Conference Paper
      30