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首页> 外文期刊>Journal of High Speed Networks >Petri net based evaluation of energy consumption in wireless sensor nodes
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Petri net based evaluation of energy consumption in wireless sensor nodes

机译：基于Petri网的无线传感器节点能耗评估

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摘要

Wireless Sensor Networks have proven their capability to deal with problems where wide and hardly accessible areas need to be monitored. Among the other systems there are also sensor networks in which nodes can (voluntarily) modify their positions to better adapt to changes of monitored phenomenon. One of the major issues arising in these situations is the energy consumption: as all the movements affect the batteries lifetime, the life of a sensor can be extended by equipping the device with power generators that exploit renewable sources, albeit this solution does not always avoid a full battery discharge. In this paper a Fluid Stochastic Petri Net modelling framework is presented to provide a wide evaluation of all the factors that contribute to the energy dissipation in mobile wireless sensor nodes. The framework allows the generation of extensible and composable models capable to evaluate the energy consumption due to sensing, communication and movement functions as well as the impact of power saving mechanisms on the energetical balance of the node. The approach is applied to a marine sensing problem and is validated by comparing the model analysis results with experimental results achieved through an existing off-the-shelf sensor network simulator.
机译：无线传感器网络已经证明了其解决需要监视较宽且难以接近的区域的问题的能力。在其他系统中，还有传感器网络，其中节点可以（自愿）修改其位置，以更好地适应所监视现象的变化。在这些情况下出现的主要问题之一就是能耗：由于所有运动都会影响电池寿命，因此，通过为设备配备可再生能源的发电机，可以延长传感器的寿命，尽管这种解决方案并不总是可以避免的电池完全放电。在本文中，提出了流体随机Petri网建模框架，以提供对影响移动无线传感器节点中能量耗散的所有因素的广泛评估。该框架允许生成可扩展和可组合的模型，这些模型能够评估由于传感，通信和移动功能以及节电机制对节点的能量平衡的影响而导致的能耗。该方法适用于海洋传感问题，通过将模型分析结果与通过现有的现成传感器网络模拟器获得的实验结果进行比较而得到验证。

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