2 research outputs found

    Energy-aware Cross-level Model for Wireless Sensor Networks

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    ISBN: 978-1-61208-744-3International audienceIn the design stage, Wireless Sensor Network developers generally need simulation tools to save both time and costs. These simulators require accurate models to precisely describe the network components and behaviours, such as energy consumption. Nevertheless, although the model has grown in complexity over last years, from layered-stack to cross-level, the energy aspects are not yet well implemented. In this paper, we suggest an energy-aware cross-level model for Wireless Sensor Networks. Our modelling approach allows for parameters that belong to different levels to interact with each other and to analyse their impact on energy consumption. To validate this approach, the energy-aware cross-level model for network radiofrequency activities is first provided. The results obtained using suggested scenarios are compared with those collected from a well-known simulator: NS2. Finally, the usefulness of our model in Wireless Sensor Network design process is demonstrated thanks to a case study aimed at comparing and selecting the most energy-efficient wireless link protocol

    An Approach for Modelling Wireless Sensor Networks: Focusing on the Design Concept and Energy Awareness

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    In the design stage, Wireless Sensor Network developers generally need simulation tools to save time and money. These simulators require accurate models to precisely describe the behaviors of network nodes. Nevertheless, although model complexity has grown from layered-stack to cross-level, the energy aspects are not yet well implemented. In this paper, we suggest an energy-aware cross-level model for Wireless Sensor Network. Our modelling approach allows parameters that belong to different levels to interact and affect each other. This approach is used to predict the nodes energy consumption and to estimate the lifetime of the system. First, the results obtained from the implementation of our approach will be compared with those collected from a well-known simulator, Network Simulator version 2 using a set of basic scenarios. Then, the utility of our approach in the Wireless Sensor Network design process is highlighted using detailed scenarios that cover different types of interactions
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