Power consumption of the Raspberry Pi: A comparative analysis

Bekaroo, Girish; Santokhee, Aditya

doi:10.1109/emergitech.2016.7737367

Cited by 54 publications

(18 citation statements)

References 10 publications

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“…RPi devices can be powered in several ways: using a 5 V micro USB mains adaptor with 1200 mA power; using a USB-based portable battery compatible with smartphones; using the Mobile Pi Power (MoPi) (a power regulator that offers multiple inputs such as solar cells, car power sockets, or standard batteries, with the ability to swap power supplies without interruption); or using a battery box with six or more AA batteries [ 32 ]. For this proposal, the power adapter was chosen for its stability and reliability when it comes to maintaining the power.…”

Section: Methodsmentioning

confidence: 99%

Evaluation of Strategies for the Development of Efficient Code for Raspberry Pi Devices

Corral-García¹,

González-Sánchez²,

Pérez-Toledano

2018

Sensors

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The Internet of Things (IoT) is faced with challenges that require green solutions and energy-efficient paradigms. Architectures (such as ARM) have evolved significantly in recent years, with improvements to processor efficiency, essential for always-on devices, as a focal point. However, as far as software is concerned, few approaches analyse the advantages of writing efficient code when programming IoT devices. Therefore, this proposal aims to improve source code optimization to achieve better execution times. In addition, the importance of various techniques for writing efficient code for Raspberry Pi devices is analysed, with the objective of increasing execution speed. A complete set of tests have been developed exclusively for analysing and measuring the improvements achieved when applying each of these techniques. This will raise awareness of the significant impact the recommended techniques can have.

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Section: Methodsmentioning

confidence: 99%

Evaluation of Strategies for the Development of Efficient Code for Raspberry Pi Devices

Corral-García¹,

González-Sánchez²,

Pérez-Toledano

2018

Sensors

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“…The program codes of the system is loaded to a mini-computer located within the plastic mannequin. Raspberry Pi, an 85.60 mm x 53.98 mm x 17 mm single-board computer, performs computations with much less power consumption compared to desktop computers, laptops, tablets and smart phones [29]. The low-cost mini-computer has general-purpose input/output universal serial board (USB) ports ( MHz to 1.2 GHz, and a graphic processing unit (GPU).…”

Section: Methodsmentioning

confidence: 99%

Cost-Effective Medical Robotic Telepresence Solution using Plastic Mannequin

Matthews

Popoola

Adetiba

et al. 2017

IJECE

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Robotic telepresence is an Information and Communication Technology (ICT) solution that has a huge potential to address the problem of access to quality healthcare delivery in rural areas. However, the capital and operating costs of available systems are considered to be unffordable for rural dwellers in emerging economies. In addition, most of these communities are not even connected to the power grid. In this paper, the authors reduced the cost of engaging a robotic telepresence solution for rural medicare by using plastic mannequin and solar photovoltaic technology. An IP camera was fixed in each of the eye sockets of the plastic mannequin. These cameras are connected to a mini-computer embedded in the plastic mannequin. A Wi-Fi module establishes an Internet connection between remote physicians and rural heathcare facilities. The system is powered by a solar photovoltaic energy source to guarantee power availability. Another unique feature of this solution is that it gives the patient a better impression of the physical presence of a physician. Comparative cost analysis with robotic telepresence available in the market showed that our system is more affordable. This development will increase the adoption of robotic telepresense in rural telemedicine.

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“…With regard to Raspberry Pi energy consumption, its efficiency has been evaluated in several works with the objective of providing software developers and users with indicators for understanding how much energy the device is consuming while running a software application [35,36]. For instance, a research about how Raspberry Pi power drain is affected by the key functionalities that could be performed by end-users on the platform can be found in [37]. This is compared against other types of common personal computers, and techniques and practices that could reduce energy consumption are recommended.…”

Section: Related Workmentioning

confidence: 99%

Analysis of Energy Consumption and Optimization Techniques for Writing Energy-Efficient Code

Corral-García¹,

Lemus-Prieto²,

Pérez-Toledano

2019

Electronics

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The unprecedented growth of connected devices, together with the remarkable convergence of a wide variety of technologies, have led to an exponential increase in the services that the internet of things (IoT) can offer, all aimed at improving quality of life. Consequently, in order to meet the numerous challenges this produces, the IoT has become a major subject of research. One of these challenges is the reduction of energy consumption given the significant limitations of some devices. In addition, although the search for energy efficiency was initially focused on hardware, it has become a concern for software developers too. In fact, it has become an intense area of research with the principal objective of analyzing and optimizing the energy consumption of software systems. This research analyzes the energy saving that can be achieved when using a broad set of techniques for writing energy-efficient code for Raspberry Pi devices. It also demonstrates that programmers can save more energy if they apply the proposed techniques manually than when relying on other automatic optimization options offered by the GNU compiler collection (GCC). Thus, it is important that programmers are aware of the significant impact these techniques can have on an application’s energy consumption.

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Power consumption of the Raspberry Pi: A comparative analysis

Cited by 54 publications

References 10 publications

Evaluation of Strategies for the Development of Efficient Code for Raspberry Pi Devices

Evaluation of Strategies for the Development of Efficient Code for Raspberry Pi Devices

Cost-Effective Medical Robotic Telepresence Solution using Plastic Mannequin

Analysis of Energy Consumption and Optimization Techniques for Writing Energy-Efficient Code

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