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Multidimensional cross-level tool for Wireless Sensor Networks constrained by energy

Abstract : Wireless Sensor Network (WSN) is a set of battery-powered nodes that include sensors coupled with processing units and wireless transceivers. Nowadays, WSN is a major topic in the research and development domain. Indeed, it constitutes an interesting solution to give an answer to different situations related to social, societal and economic issues such as the need to manage the Smart Grids or to supervise patient’s health in the context of the aging population. This kind of network has the capacity to be simply deployed in harsh environments, such as forests, volcanoes and buildings, to achieve various goals, like tracking targets, animals or human beings for example, or monitoring physical phenomena, such as patient physiological signals or ambient temperature in a building.However, the deployment of WSNs can be critical because of the difficult conditions imposed by the application environment, for example, the high temperatures in the case of volcano activity supervision, or the impossibility of reaching the nodes after deployment, when the WSN must be used to structural health monitoring of a highway or a building. Therefore, researchers and developers need tools to test and evaluate, in the design process of a WSN, node and network performances before deploying it in real surroundings.In this context, simulation can provide a solution that can save time, cost, and effort before deploying a WSN application in its real environment. This explains that simulation tools are widely used in WSN designing stages and for research works evaluation related to this kind of network. Nevertheless, designing a WSN, dedicated to a specific application, needs to address its multilevel structure: topology, nodes and circuits. Thus, to handle the main challenges of WSN design such as energy issues, WSN modelling is considered a complex task because the adopted modelling approach has to take into account the WSN multilevel structure in order to provide exploitable results from different points of view at the same time.In this thesis, we define, propose and implement a cross-level energy-aware model for WSN that allows considering different levels of abstraction at the same time: circuits, nodes and topology. This energy-oriented model is able to trace the energy consumption from multiple points of view: a specific circuit's activity, circuit or node activities, as well as the impact on the WSN lifetime. The proposed model is implemented in a dedicated WSN simulator, which is used, defining different scenarios, to compare obtained results with a well-known simulator and physical WSN nodes with the aim to validate the relevance of our approach.
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Submitted on : Tuesday, May 18, 2021 - 8:30:08 AM
Last modification on : Tuesday, March 22, 2022 - 3:31:01 AM


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  • HAL Id : tel-03213899, version 2



Michel Bakni. Multidimensional cross-level tool for Wireless Sensor Networks constrained by energy. Electronics. Université de Bordeaux, 2021. English. ⟨NNT : 2021BORD0087⟩. ⟨tel-03213899v2⟩



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