Green internet of things (IoT): An overview

Albreem, Mahmoud A.; El‐Saleh, Ayman A.; Isa, Muzamir; Salah, Wael A.; Jusoh, M.; Azizan, Muhammad Mokhzaini; Ali, A

doi:10.1109/icsima.2017.8312021

Cited by 78 publications

(28 citation statements)

References 36 publications

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“…The terms are distributed among 3 clusters. The largest cluster has formed around the Internet of Things (IoT) and its practical applications in the context of a smart city (Albreem et al, 2018;Poncha, Abdelhamid, Alturjman, Ever, & Al-Turjman, 2018;Satyakrishna & Sagar, 2018). This finding indirectly confirms our hypothesis that the IoT is to some extent, a "core" term or technological core for a smart city.…”

Section: Resultssupporting

confidence: 68%

Smart cities and 5G networks: An emerging technological area?

Kochetkov

Vuković

Sadekov

et al. 2019

J GEOGR INST CVIJIC

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The term "smart city" has recently become greatly widespread in academic and political discourse. Nevertheless, this is rather a marketing term that unites a number of technological (and other) areas: Internet of Things (IoT), augmented and virtual reality (AR/VR), communication networks. The latest generation of networks is essential for the development of digital ecosystems of smart cities. It has been assumed that the smart city and 5G networks form an emerging technological area. The goal of the work is to study the structure of the development and implementation of new technologies for the urban environment on the sample of 5G-based technologies. For the analysis of new technologies in the selected subject area, a study of patent landscapes and scientometric analysis of the topic field has been conducted. The object of the scientometric analysis is the study of citation patterns. The use of the patent landscape is based on the information systems and databases of patent information developed by patent offices and commercial companies and consists of visualizing the logical connections between various indicators of patent activity, on the one hand, and technological and market trends, on the other. Together, the scientometric and patent landscape show the most promising areas of technological research. The results of the study can be used in further theoretical and applied research, in the formation of government policy in research and development, as well as in decision-making in the field of urban management.

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Section: Resultssupporting

confidence: 68%

Smart cities and 5G networks: An emerging technological area?

Kochetkov

Vuković

Sadekov

et al. 2019

J GEOGR INST CVIJIC

View full text Add to dashboard Cite

show abstract

“…In addition, by means of learning algorithms, data analytics can be made easier in respect to large amounts of data, resulting in lower power consumption and, thus, increasing lifetime of IoT devices. Again tackling energy conservation, a concept of Green IoT was presented in Reference [15]. In that study, the authors described how conservation of energy is possible using renewable energy resources.…”

Section: Management Of Limited Resourcesmentioning

confidence: 99%

Real-Time, Content-Based Communication Load Reduction in the Internet of Multimedia Things

et al. 2020

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There is an increasing number of devices available for the Internet of Multimedia Things (IoMT). The demands these ever-more complex devices make are also increasing in terms of energy efficiency, reliability, quality-of-service guarantees, higher data transfer rates, and general security. The IoMT itself faces challenges when processing and storing massive amounts of data, transmitting it over low bandwidths, bringing constrained resources to bear and keeping power consumption under check. This paper’s research focuses on an efficient video compression technique to reduce that communication load, potentially generated by diverse camera sensors, and also improve bit-rates, while ensuring accuracy of representation and completeness of video data. The proposed method applies a video content-based solution, which, depending on the motion present between consecutive frames, decides on whether to send only motion information or no frame information at all. The method is efficient in terms of limiting the data transmitted, potentially conserving device energy, and reducing latencies by means of negotiable processing overheads. Data are also encrypted in the interests of confidentiality. Video quality measurements, along with a good number of Quality-of-Service measurements demonstrated the value of the load reduction, as is also apparent from a comparison with other related methods.

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“…is vital to attain a green IoT reliability and smart city applications. The continued development of Green IoT is related to green cloud computing, large data, and other advanced computing technologies [11].…”

Section: Internets Of Things (Iot) and Green-iotmentioning

confidence: 99%

Big Data Research on the Green Internet of Things in New Smart-Logistics

2019

IJITEE

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Recent advances in information and communication technologies (ICT) have contributed to the evolution of the supply chain and logistics sector. Indeed, the analysis of massive data (Big Data) coming from smart-products makes it possible to extract enormous values for the decision-making of strategic choice: commercial or technical. But this also causes research problems because of the speed of data transmission, the huge volume, and the non-homogeneous types of data. This work provides an overview of the analysis of Big-Data (BD) from the Green Internet of Things (Green-IoT) in new Smart-Logistics. This article begins with a discussion of the needs and challenges of the Green Internet of Things (Green-IoT) and Big Data (BD)analysis in logistics. Then, major data analysis technologies are examined and discussed. In addition, this article also describes future directions in this promising area.

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Green internet of things (IoT): An overview

Cited by 78 publications

References 36 publications

Smart cities and 5G networks: An emerging technological area?

Smart cities and 5G networks: An emerging technological area?

Real-Time, Content-Based Communication Load Reduction in the Internet of Multimedia Things

Big Data Research on the Green Internet of Things in New Smart-Logistics

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