Publications Internationales

Permanent URI for this collectionhttps://dspace.univ-boumerdes.dz/handle/123456789/13

Browse

Author: search.filters.author.Boulif, MenouarSubject: search.filters.subject.Sleeping mechanism

Search Results

Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    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
    (Springer Nature, 2024) Oukas, Nourredine; Boulif, Menouar; Arab, Karima
    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 (TSS). By considering the mean battery charge and the mean sleeping percentage as evaluation metrics, the 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 that use simple and double sleeping strategies, demonstrates the benefits of our approach, in terms of energy efficiency and device lifespan. For instance, when the device is configured with a 90 % sleeping percentage, TSS maintains a decent mean battery level for ten days, almost 8% higher than the double sleeping strategy. Furthermore, the presented case study demonstrates the ability of the proposed model to select appropriate parameters and configurations such as solar panel area and position, battery capacity, packet length, and deployment zone, to cope with the desired performance criteria.
  • No Thumbnail Available
    Item
    A new petri nets for wsns to model the behaviour of solar-energy harvesting sensors with double sleeping strategy
    (IEEE, 2022) Oukas, Nourredine; Boulif, Menouar; Hadiouche, Hadda; Bengharabi, Chaima
    This paper introduces a new Generalized Stochastic Petri Nets modelling for sensor nodes (SNs) in wireless sensor networks (WSNs). All SNs are equipped with a solar Energy Harvesting (EH) system. Because there is no solar energy source at night, this formulation considers the case where SNs are intelligently configured to use a double sleeping strategy to get a trade-off between energy conservation and good performances. To achieve this aim, the SN joins the standby state most of the time in the night. In the day, the SN awakes most of the time to get good performances thanks to EH. From the proposed modelling, we derive performance formulas that allow determining the most suitable compromise between energy consumption reduction and rapidity of service