Waist Tightening of CNNs: A Case study on Tiny YOLOv3 for Distributed IoT Implementations

Sanchez Leal, Isaac; Saqib, Eiraj; Shallari, Irida; Jantsch, Axel; Krug, Silvia; O'Nils, Mattias

doi:10.1145/3576914.3587518

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Cited by 2 publications

References 16 publications

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Optimizing the IoT Performance: A Case Study on Pruning a Distributed CNN

Saqib,

Leal,

Shallari

et al. 2023

2023 IEEE Sensors Applications Symposium (SAS)

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Optimizing the IoT Performance: A Case Study on Pruning a Distributed CNN

Saqib,

Leal,

Shallari

et al. 2023

2023 IEEE Sensors Applications Symposium (SAS)

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Impact of Real-World Energy Consumption Variance on Internet of Things Node Lifetime Predictions

Krug,

Hutschenreuther,

Toepfer

et al. 2024

Electronics

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Node lifetime predictions are a crucial design time tool when developing Internet of Things (IoT) solutions with constrained energy budgets. However, this analysis is typically based on simplistic analyses of current consumption values based on datasheets and static duty cycles. This leads to an optimistic prediction of the node lifetime. Real-world measurements show a variation in the energy consumption that can significantly reduce the predicted node lifetime. In this paper, we aim to analyze the impact of the experienced variation for a given IoT platform and typical sensing tasks. To do this, we present a design case study in smart agriculture, where we perform empirical measurements to analyze energy consumption variability and its effect on as well as challenges regarding different design decisions. In addition, we suggest an empirical modeling method to enhance the energy efficiency of IoT nodes. The results show that the variations have a significant impact on node lifetime and should be considered in estimations in the future, as they show the design space to be considered when building robust systems.

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Waist Tightening of CNNs: A Case study on Tiny YOLOv3 for Distributed IoT Implementations

Cited by 2 publications

References 16 publications

Optimizing the IoT Performance: A Case Study on Pruning a Distributed CNN

Optimizing the IoT Performance: A Case Study on Pruning a Distributed CNN

Impact of Real-World Energy Consumption Variance on Internet of Things Node Lifetime Predictions

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