Smart Battery Charge: A Fiware Open Source Platform and Microcontroller Based IOT Application

Raura, Geovanny; Fonseca, Rúbia Santos; Yoo, Sang Guun

doi:10.1007/978-3-030-42531-9_22

Cited by 2 publications

(3 citation statements)

References 11 publications

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“…Raura, et al [13] No result was reported. Further work will be conducted to measure the effects of the proposed solution on battery aging.…”

Section: Intelligent Charging Approachesmentioning

confidence: 96%

“…Finally, the mobile application notifies the user to disconnect the device from the charger. A more intricate approach, proposed by Raura, Geovanny, et al [13], limited to Android devices, aims to mitigate the impact of DoD during the charging process. Instead of charging the battery from 0% to 100% in one continuous cycle, this solution divides the process into two stages.…”

Section: Intelligent Charging Approachesmentioning

confidence: 99%

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Proposed Methodology for Battery Aging and Drainage Mitigation

Awad,

El-Horabty,

Hegazy

2024

IJICIS

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A longer battery life is a highly sought-after feature for most smartphone users when considering their next device. However, with the emergence of new hardware technology and software applications that require heavy processing, the demand for battery power has significantly increased. Unfortunately, the development of battery technology has not kept up with the rapid advancements in smartphone hardware and software, which rely heavily on battery power. To address this issue, several approaches have been proposed to regulate battery consumption and the charging process on smartphones. In this paper, we summarize the different approaches related to this problem that managed to achieve up to a 61% increase in battery daily usage in simulation testing, highlighting their strengths, limitations, and current challenges. Furthermore, we provide a comprehensive review of various open-source datasets that have the potential to be used in developing new approaches to improve battery drainage and degradation in smartphones. We also discuss the methodology for collecting each dataset. Finally, we propose a new approach to address the current limitations and challenges to solving the problem of battery drainage and degradation that could be developed using the currently available datasets. These new approaches may involve incorporating Machine Learning (ML) techniques to predict battery charging patterns and minimize battery drainage.

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“…Raura, et al [13] No result was reported. Further work will be conducted to measure the effects of the proposed solution on battery aging.…”

Section: Intelligent Charging Approachesmentioning

confidence: 96%

Section: Intelligent Charging Approachesmentioning

confidence: 99%

Proposed Methodology for Battery Aging and Drainage Mitigation

Awad,

El-Horabty,

Hegazy

2024

IJICIS

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show abstract

“…In this context, the European Commission made available the FIWARE platform [ 5 ], which is an open-source middleware developed to contribute to the creation of technologies aimed at the Internet of the Future and capable of meeting a wide range of requirements relevant for IoT platforms. There is a specific variant for IoT called FIWARE IoT stack.…”

Section: Introductionmentioning

confidence: 99%

Provisioning, Authentication and Secure Communications for IoT Devices on FIWARE

Sousa

Magalhães

Resende

et al. 2021

Sensors

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The increasing pervasiveness of the Internet of Things is resulting in a steady increase of cyberattacks in all of its facets. One of the most predominant attack vectors is related to its identity management, as it grants the ability to impersonate and circumvent current trust mechanisms. Given that identity is paramount to every security mechanism, such as authentication and access control, any vulnerable identity management mechanism undermines any attempt to build secure systems. While digital certificates are one of the most prevalent ways to establish identity and perform authentication, their provision at scale remains open. This provisioning process is usually an arduous task that encompasses device configuration, including identity and key provisioning. Human configuration errors are often the source of many security and privacy issues, so this task should be semi-autonomous to minimize erroneous configurations during this process. In this paper, we propose an identity management (IdM) and authentication method called YubiAuthIoT. The overall provisioning has an average runtime of 1137.8 ms ±65.11+δ. We integrate this method with the FIWARE platform, as a way to provision and authenticate IoT devices.

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Smart Battery Charge: A Fiware Open Source Platform and Microcontroller Based IOT Application

Cited by 2 publications

References 11 publications

Proposed Methodology for Battery Aging and Drainage Mitigation

Proposed Methodology for Battery Aging and Drainage Mitigation

Provisioning, Authentication and Secure Communications for IoT Devices on FIWARE

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