MQTT Quality of Service versus Energy Consumption

Toldinas, Jevgenijus; Lozinskis, Borisas; Baranauskas, Edgaras; Dobrovolskis, Algirdas

doi:10.1109/electronics.2019.8765692

Cited by 35 publications

(17 citation statements)

References 10 publications

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“…When we enable retain flag, MQTT broker is ability to keep only newest message that publish by publisher. This message is received by subscriber after it reconnects to MQTT broker 9 . However, when using SIP-MBA platform, subcriber can receive all message that published by publisher.…”

Section: Broken Connection Test Casesmentioning

confidence: 99%

“…According to the article [8], the ratio of packet loss and packet transmission rate of QoS-0 level is highest. However, according to the article [9], the energy consumption of the QoS-0 level is only about 50% of the QoS-2 level and the communication bandwidth of QoS-0 is also lower than that of QoS-2. The MQTT protocol runs on TCP [10] and each TCP connection can only make one request and one response.…”

Section: Introductionmentioning

confidence: 99%

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SIP-MBA: A Secure IoT Platform with Brokerless and Micro-service Architecture

Thanh¹,

Phien²,

Nguyen³

et al. 2021

IJACSA

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The Internet of Things is one of the most interesting technology trends today. Devices in the IoT network are often geared towards mobility and compact in size, thus having a rather weak hardware configuration. There are many light weight protocols, tailor-made suitable for limited processing power and low energy consumption, of which MQTT is the typical one. The current MQTT protocol supports three types of qualityof-service (QoS) and the user has to trade-off the security of the packet transmission by transmission rate, bandwidth and energy consumption. The MQTT protocol, however, does not support packet storage mechanisms which means that when the receiver is interrupted, the packet cannot be retrieved. In this paper, we present a broker-less SIP-MBA Platform, designed for micro-service and using gRPC protocol to transmit and receive messages. This design optimizes the transmission rate, power consumption and transmission bandwidth, while still meeting reliability when communicating. Besides, we implement users and things management mechanisms with the aim of improving security issues. Finally, we present the test results by implementing a collect data service via gRPC protocol and comparing it with streaming data by using the MQTT protocol.

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Section: Broken Connection Test Casesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

SIP-MBA: A Secure IoT Platform with Brokerless and Micro-service Architecture

Thanh¹,

Phien²,

Nguyen³

et al. 2021

IJACSA

View full text Add to dashboard Cite

show abstract

“…The QoS-0 level has the fastest transmission rate but has the lowest reliability [13], the opposite is the QoS-2 level. According to the article [14] the energy consumption of the QoS-0 level is only about 50% of the QoS-2 level. The report also did not specify the level of MQTT QoS that the system uses.…”

Section: A Iot Architecture For Healthcarementioning

confidence: 99%

IoHT-MBA: An Internet of Healthcare Things (IoHT) Platform based on Microservice and Brokerless Architecture

Thanh¹,

Phien²,

Nguyen³

et al. 2021

IJACSA

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Internet of Thing (IoT), currently, is one of the technology trends that are most interested. IoT can be divided into five main areas including: Health-care, Environmental, Smart city, Commercial and Industrial. The IoHT-MBA Platform is considered the backbone of every IoT architecture, so the optimal design of the IoHT-MBA Platform is essential issue, which should be carefully considered in the different aspects. Although, IoT is applied in multiple domains, however, there are still three main features that are challenge to improve: i) data collection, ii) users, devices management, and iii) remote device control. Today's medical IoT systems, often too focused on the big data or access control aspects of participants, but not focused on collecting data accurately, quickly, and efficiently; power redundancy and system expansion. This is very important for the medical sector -which always prioritizes the availability of data for therapeutic purposes over other aspects. In this paper, we introduce the IoHT Platform for Healthcare environment which is designed by microservice and brokerless architecture, focusing strongly on the three aforementioned characteristics. In addition, our IoHT Platform considers the five other issues including (1) the limited processing capacity of the devices, (2) energy saving for the device, (3) speed and accurate of the data collection, (4) security mechanisms and (5) scalability of the system. Also, in order for the IoHT Platform to be suitable for the field of health monitoring, we also add realtime alerts for the medical team. In the evaluation section, moreover, we describe the evaluation to prove the effectiveness of the proposed IoHT Platform (i.e. the proof-of-concept) in the performance, non-error, and non affected by geographical distance. Finally, a complete code solution is publicized on the authors' GitHub repository to engage further reproducibility and improvement.

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“…Next, other proposals related to the scope of our research are described: an approach for power and energy usage for scientific calculation with and without General-Purpose Unit (GPU) acceleration on RPi devices can be found in [39]; energy and execution time of several wearable and mobile devices, including RPi Zero, are compared in [40] with a benchmark to discuss offloading techniques to use for increasing quality of service (QoS) in IoT applications; a preliminary analysis and modeling of energy consumption of evolutionary algorithms in different devices, including RPi, is introduced in [41]; an estimation of energy consumption in transferring data using an IoT protocol over different QoS levels is presented in [42]; a linear IoT model to deploy processes and data to devices and servers in IoT (considering a RPi as a fog node) reducing the total energy consumption of nodes is introduced in [43]; a study about the service distribution in multi-layer IoT architecture to minimize the total energy consumption is presented in [44]; the evolution of the energy consumption of several RPi models is compared to alternative platforms in [45].…”

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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MQTT Quality of Service versus Energy Consumption

Cited by 35 publications

References 10 publications

SIP-MBA: A Secure IoT Platform with Brokerless and Micro-service Architecture

SIP-MBA: A Secure IoT Platform with Brokerless and Micro-service Architecture

IoHT-MBA: An Internet of Healthcare Things (IoHT) Platform based on Microservice and Brokerless Architecture

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

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