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A Novel Fluid-Based Modeling Approach Using Extended Hybrid Petri Nets for Power Consumption Monitoring in Wireless Autonomous IoT Devices, with Energy Harvesting Capability and Triple Sleeping Strategy
  • Nourredine OUKAS,
  • Menouar BOULIF,
  • Karima ARAB
Nourredine OUKAS
Universite de Bouira

Corresponding Author:[email protected]

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Menouar BOULIF
Universite M'Hamed Bougara Boumerdes Faculte des Sciences
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Karima ARAB
Universite de Bouira
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Abstract

This paper presents a novel approach to model and monitor the energy dynamics of smart devices within the context of the Internet of Things (IoT). The proposed approach employs eXtended Hybrid Petri nets (xHPN) to emulate the behavior of interconnected smart devices forming a wireless network. The novelty of this study lies in the utilization of a fluidic representation to model the battery behavior of smart devices, allowing for the simulation of continuous energy consumption and replenishment via renewable energy harvesting to reflect real-world scenarios. Furthermore, in order to conserve energy, we introduce a new sleeping mechanism named the “Triple Sleeping Strategy”. Experimental study showcases the predictive capabilities of the developed model in simulating the performance of IoT networks prior to their actual deployment. Comparative analysis against recent works demonstrates the benefits of our approach, in terms of energy efficiency and device lifespan.