Modelling of Internet of Things units for estimating security-energy-performance relationships for quality of service and environment awareness

Venčkauskas, Algimantas; Štuikys, Vytautas; Damaševičius, Robertas; Jusas, Nerijus

doi:10.1002/sec.1537

Cited by 29 publications

(23 citation statements)

References 37 publications

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“…Educating computer users will empower them with the right information to be innovative and creative about the use of ICT facilities vis-a-vis the environment [11]. An adequate green computing campaign can be launched in each African country in the fight against the adverse effect on climate change.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Green Computing Awareness for Environmental Sustainability and Economic Security as a Stochastic Optimization Problem

et al. 2017

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Abstract:The role of automation in sustainable development is not in doubt. Computerization in particular has permeated every facet of human endeavour, enhancing the provision of information for decision-making that reduces cost of operation, promotes productivity and socioeconomic prosperity and cohesion. Hence, a new field called information and communication technology for development (ICT4D) has emerged. Nonetheless, the need to ensure environmentally friendly computing has led to this research study with particular focus on green computing in Africa. This is against the backdrop that the continent is feared to suffer most from the vulnerability of climate change and the impact of environmental risk. Using Nigeria as a test case, this paper gauges the green computing awareness level of Africans via sample survey. It also attempts to institutionalize green computing maturity model with a view to optimizing the level of citizens awareness amid inherent uncertainties like low bandwidth, poor network and erratic power in an emerging African market. Consequently, we classified the problem as a stochastic optimization problem and applied metaheuristic search algorithm to determine the best sensitization strategy. Although there are alternative ways of promoting green computing education, the metaheuristic search we conducted indicated that an online real-time solution that not only drives but preserves timely conversations on electronic waste (e-waste) management and energy saving techniques among the citizenry is cutting edge. The authors therefore reviewed literature, gathered requirements, modelled the proposed solution using Universal Modelling Language (UML) and developed a prototype. The proposed solution is a web-based multi-tier e-Green computing system that educates computer users on innovative techniques of managing computers and accessories in an environmentally friendly way. We found out that such a real-time web-based interactive forum does not only stimulate the interest of the common man in environment-related issues, but also raises awareness about the impact his computer-related activities have on mother earth. This way, he willingly becomes part of the solution to environment degradation in his circle of influence.

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Section: Introductionmentioning

confidence: 99%

Optimizing Green Computing Awareness for Environmental Sustainability and Economic Security as a Stochastic Optimization Problem

et al. 2017

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“…Using the feature models one can select configurations that are best suited for a given IOT application with respect to QoS requirements [7]. Feature models help representing abstract relationships between various domain factors.…”

Section: Related Workmentioning

confidence: 99%

Performance evaluation of IOT systems – basic issues

Sowmya¹,

Sastry²

2018

IJET

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Internet of things (IOT) is a layered network and generally heterogeneous as communication between small things like digital cameras and big things like servers has to happen. The communication speeds of various devices connected on to IOT are in great variance affecting the performance of the entire network. The small devices connected on to IOT are fragile in the sense that they tend to fail quite often affecting the performance of the network. The small devices are low in energy depletion of which is rather fast. The small devices also have heavy latency. Many such issues exists that effect the performance of an IOT network. In this paper, various issues/bottlenecks that hamper the performance of an IOT network are and a mitigation strategy for improving the performance of the IOT networks is discussed.

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“…As each of them, in fact, is a big issue, we firstly analyze them separately through analysis and modeling. Then we combine them into a unified measure (called quality of service [30,31]) to represent non-functional requirements uniformly to evaluate their synergistic effect to fit the needs of a particular application.…”

Section: Computational Framework: a Stack-based Modelmentioning

confidence: 99%

“…The values of the variables are to be selected using either expert knowledge or previous knowledge of the designer. For example, values of the security level were taken from [31]; the others were estimated on the basis of the experimental results given in [18]. Here, physical obstacle values (Min, Max, Aver) mean the environmental factor influencing to signal transferring (noise) in rural regions, city regions, and between adequately.…”

Section: Implementation Of Transformation Layersmentioning

confidence: 99%

A Model-Driven Framework to Develop Personalized Health Monitoring

et al. 2016

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Both distributed healthcare systems and the Internet of Things (IoT) are currently hot topics. The latter is a new computing paradigm to enable advanced capabilities in engineering various applications, including those for healthcare. For such systems, the core social requirement is the privacy/security of the patient information along with the technical requirements (e.g., energy consumption) and capabilities for adaptability and personalization. Typically, the functionality of the systems is predefined by the patient's data collected using sensor networks along with medical instrumentation; then, the data is transferred through the Internet for treatment and decision-making. Therefore, systems creation is indeed challenging. In this paper, we propose a model-driven framework to develop the IoT-based prototype and its reference architecture for personalized health monitoring (PHM) applications. The framework contains a multi-layered structure with feature-based modeling and feature model transformations at the top and the application software generation at the bottom. We have validated the framework using available tools and developed an experimental PHM to test some aspects of the functionality of the reference architecture in real time. The main contribution of the paper is the development of the model-driven computational framework with emphasis on the synergistic effect of security and energy issues.

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Modelling of Internet of Things units for estimating security-energy-performance relationships for quality of service and environment awareness

Cited by 29 publications

References 37 publications

Optimizing Green Computing Awareness for Environmental Sustainability and Economic Security as a Stochastic Optimization Problem

Optimizing Green Computing Awareness for Environmental Sustainability and Economic Security as a Stochastic Optimization Problem

Performance evaluation of IOT systems – basic issues

A Model-Driven Framework to Develop Personalized Health Monitoring

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