Energy-efficient node position identification through payoff matrix and variability analysis

Silva, Anderson; Zhou, Fen; Pontes, Elvis; Simplício, Marcos A.; Aguiar, Rui L.; Guelfi, Adilson Eduardo; Kofuji, Sérgio Takeo

doi:10.1007/s11235-016-0245-4

Cited by 6 publications

(4 citation statements)

References 39 publications

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“…Continuous sensory data gathering is essential to support the IoT applications, where devices periodically sense their environment and send the data to the cloud [ 5 ]. However, the energy consumption must be in focus [ 6 , 7 ], either concerning devices’ battery life duration or the energy efficiency of the cloud platform.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of publish-subscribe systems in IoT using energy-efficient and context-aware secure messages

et al. 2022

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Background The Internet of Things (IoT) enables the development of innovative applications in various domains such as healthcare, transportation, and Industry 4.0. Publish-subscribe systems enable IoT devices to communicate with the cloud platform. However, IoT applications need context-aware messages to translate the data into contextual information, allowing the applications to act cognitively. Besides, end-to-end security of publish-subscribe messages on both ends (devices and cloud) is essential. However, achieving security on constrained IoT devices with memory, payload, and energy restrictions is a challenge. Contribution Messages in IoT need to achieve both energy efficiency and secure delivery. Thus, the main contribution of this paper refers to a performance evaluation of a message structure that standardizes the publish-subscribe topic and payload used by the cloud platform and the IoT devices. We also propose a standardization for the topic and payload for publish-subscribe systems. Conclusion The messages promote energy efficiency, enabling ultra-low-power and high-capacity devices and reducing the bytes transmitted in the IoT domain. The performance evaluation demonstrates that publish-subscribe systems (namely, AMQP, DDS, and MQTT) can use our proposed energy-efficient message structure on IoT. Additionally, the message system provides end-to-end confidentiality, integrity, and authenticity between IoT devices and the cloud platform.

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Section: Introductionmentioning

confidence: 99%

Performance evaluation of publish-subscribe systems in IoT using energy-efficient and context-aware secure messages

et al. 2022

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show abstract

“…Continuous sensory data gathering is essential to support the IoT applications, where devices periodically sense their environment and send the data to the cloud [5]. However, the energy consumption must be in focus [6,7], either concerning devices' battery life duration or the energy efficiency of the cloud platform.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Publish-Subscribe Systems in IoT Using Energy-Efficient and Context-Aware Secure Messages

Ferraz¹,

Silva²,

Guelfi³

et al. 2021

Preprint

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Background: The Internet of Things (IoT) enables the development of innovative applications in various domains such as healthcare, transportation, and Industry 4.0. Publish-subscribe systems enable IoT devices to communicate with the cloud platform. However, IoT applications need context-aware messages to translate the data into contextual information, allowing the applications to act cognitively. Besides, end-to-end security of publish-subscribe messages on both ends (devices and cloud) is essential. However, achieving security on constrained IoT devices with memory, payload, and energy restrictions is a challenge. Contribution: Messages in IoT need to achieve both energy efficiency and secure delivery. Thus, the main contribution of this paper refers to a performance evaluation of a message structure that standardizes the publish-subscribe topic and payload used by the cloud platform and the IoT devices. We also propose a standardization for the topic and payload for publish-subscribe systems. Conclusion: The messages promote energy efficiency, enabling ultra-low-power and high-capacity devices and reducing the bytes transmitted in the IoT domain. The performance evaluation demonstrates that publish-subscribe systems (namely, AMQP, DDS, and MQTT) can use our proposed energy-efficient message structure on IoT. Additionally, the message system provides end-to-end confidentiality, integrity, and authenticity between IoT devices and the cloud platform.

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“…The result demonstrated that the GM(1,1) model can be used in similar forecasting problems. Silva et al [15] analysed the performance of two prediction methods, which are the linear regression and grey model. Statistical indicators were gathered to create a game theory payoff matrix.…”

Section: Introductionmentioning

confidence: 99%

Meta-Material Topology Optimization with Geometric Control

Liu¹,

Tang²,

Ma³

2019

CAD&A

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The process of motorcycle seat styling is a grey system with partially known and partially unknown information and is influenced by various factors. In this study, Grey Modelling (GM)(1,1) is used to predict the style of a motorcycle seat, and the shape features of the seat are extracted via morphological analysis and are parameterized. The process of shape evolution is established, and the modelling characteristics are predicted by GM(1,1). The kansei study is performed using five adjectives describing the seat styles to establish the equation of kansei regression analysis. The regression analysis is employed to modify predictive modelling. A certain brand of motorcycle seats is modelled to analyse and verify the feasibility and scientific applicability of adopting GM(1,1) in predicting motorcycle seat styling, which provided a feasible and effective reference for the motorcycle seat design.

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Energy-efficient node position identification through payoff matrix and variability analysis

Cited by 6 publications

References 39 publications

Performance evaluation of publish-subscribe systems in IoT using energy-efficient and context-aware secure messages

Performance evaluation of publish-subscribe systems in IoT using energy-efficient and context-aware secure messages

Performance Evaluation of Publish-Subscribe Systems in IoT Using Energy-Efficient and Context-Aware Secure Messages

Meta-Material Topology Optimization with Geometric Control

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