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Integration of Green ICTs and Industry into Green Governance for a Sustainable Ecosystem

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 12925

Special Issue Editors

Dr. Pradip Kumar Sharma

E-Mail Website
Guest Editor
Department of Computing Science, University of Aberdeen, Aberdeen, UK
Interests: edge computing; IoT security; blockchain; software-defined networking; social networking
Special Issues, Collections and Topics in MDPI journals
Dr. Saurabh Singh

E-Mail Website
Guest Editor
Kunsan National University, South Korea
Interests: Cloud Computing; IoT Security; Green Communication; Blockchain
Prof. Dr. Vijayakumar Varadarajan

E-Mail Website
Guest Editor
School of Computer Science and Engineering, The University of New South Wales, Australia
Interests: Grid Computing; Big Data; Networking; Security

Special Issue Information

Dear Colleagues,

In recent years, the growth of global information and communications technologies (ICTs) and sustainable development models are potentially prepared to identify and put into action the good practices of a green governance strategy. However, the government faces many challenges, such as the establishment of green governance in industries and enterprises. In addition, the trade-off between energy efficiency and performance is becoming the biggest challenge in distributed and traditional performance-oriented industrial infrastructures.

The dual approach taken by Green ICT with respect to environmental issues is to addresses the problem with resources and energies consumption, as well as enabling changes in the operation of the government to provide services. This helps to achieve improvements in both industrial efficiency and green governance on a much wider and large scale. This Special Issue aims to disseminate the current research and developments in the field of green ICT, introducing the convergence of electronic services with network infrastructure, industrial IoT, mobile devices, wireless sensor networks, and other green technologies for the development of a sustainable ecosystem by integrating green ICT and industry into green governance.

References:

  1. Bradley, T., & Ziniel, C. (2017). Green governance? Local politics and ethical businesses in Great Britain. Business Ethics: A European Review, 26(1), 18-30.
  2. Mahmood, M., & Orazalin, N. (2017). Green governance and sustainability reporting in Kazakhstan's oil, gas, and mining sector: Evidence from a former USSR emerging economy. Journal of cleaner Production, 164, 389-397.
  3. Dieng, B., & Pesqueux, Y. (2017). On'green governance'. International Journal of Sustainable Development, 20(1-2), 111-123.
  4. Lin, R., Gui, Y., Xie, Z., & Liu, L. (2019). Green governance and international business strategies of emerging economies’ multinational enterprises: A multiple-case study of chinese firms in pollution-intensive industries. Sustainability, 11(4), 1013.
  5. Capatina, A., Bleoju, G., Micu, A., & Dragan, G. B. (2019). The Role of an Eco-Knowledge Hub in Leveraging Intellectual Capital Green Governance. In Intellectual Capital Management as a Driver of Sustainability(pp. 157-175). Springer, Cham.
  6. Delman, J. (2019). Performance Reviews, Public Accountability, and Green Governance in Hangzhou. In Greening China’s Urban Governance(pp. 151-173). Springer, Singapore.
  7. Li, W., Xu, J., & Zheng, M. (2018). Green governance: New perspective from open innovation. Sustainability, 10(11), 3845.
  8. Kusis, J., Brokane, L., & Miltovica, B. (2017, January). GREEN GOVERNANCE PRINCIPLES IN THE DEVELOPMENT OF ENVIRONMENTAL EDUCATION INFRASTRUCTURE. In Economic Science for Rural Development Conference Proceedings(No. 44).
  9. Abbott, K. W., Green, J. F., & Keohane, R. O. (2016). Organizational ecology and institutional change in global governance. International Organization, 70(2), 247-277.
  10. Kahler, M. (2018). Global Governance: Three Futures. International Studies Review, 20(2), 239-246.
  11. Cashore, B., Bernstein, S., Humphreys, D., Visseren-Hamakers, I., & Rietig, K. (2019). Designing stakeholder learning dialogues for effective global governance. Policy and Society, 38(1), 118-147
  12. Farhan, L., Kharel, R., Kaiwartya, O., Hammoudeh, M. and Adebisi, B., 2018. Towards green computing for Internet of things: Energy oriented path and message scheduling approach. Sustainable Cities and Society, 38, pp.195-204.
  13. Verma, J.K., Kumar, S., Kaiwartya, O., Cao, Y., Lloret, J., Katti, C.P. and Kharel, R., 2018. Enabling green computing in cloud environments: Network virtualization approach toward 5G support. Transactions on Emerging Telecommunications Technologies, 29(11), p.e3434.
  14. Zhang, H., Li, S., Yan, W., Jiang, Z. and Wei, W., 2019, June. A Knowledge Sharing Framework for Green Supply Chain Management Based on Blockchain and Edge Computing. In International Conference on Sustainable Design and Manufacturing(pp. 413-420). Springer, Singapore.
  15. Basdekidou, V.A., 2018. Green Sustainable Entrepreneurship Based on Blockchain Financial Practices. Archives of Current Research International, pp.1-12.
  16. Sulkowski, A.J., 2018. Blockchain, Law, and Business Supply Chains: The Need for Governance and Legal Frameworks to Achieve Sustainability.
  17. Correa Tavares, E., Meirelles, F.S., Correa Tavares, E., Cunha, M.A. and Schunk, L.M., 2019. Blockchain in the Green Treasure: Different Investment Objectives.
  18. Maksimovic, M., 2018. Greening the future: Green Internet of Things (G-IoT) as a key technological enabler of sustainable development. In Internet of things and big data analytics toward next-generation intelligence(pp. 283-313). Springer, Cham.
  19. Qureshi, D.A., 2018. Performance evaluation of IoT platforms in green ICT applications., pp. 1-64, Diva,
  20. Saragih, L.R., Dachyar, M., Zagloel, T.Y.M. and Satar, M., 2018, November. The Industrial IoT for Nusantara. In 2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS)(pp. 73-79). IEEE.
  21. Yang, H.F., Chen, C.H.K. and Chen, K.L.B., 2019, July. Using Big Data Analytics and Visualization to Create IoT-enabled Science Park Smart Governance Platform. In International Conference on Human-Computer Interaction(pp. 459-472). Springer, Cham.

Dr. Pradip Kumar Sharma
Dr. Saurabh Singh
Prof. Dr. Vijayakumar Varadarajan
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Green governance
  • Green smart grid
  • Green communication and network protocols
  • Green edge computing
  • Green industry
  • Green cloud computing
  • Blockchain in green IoT

Published Papers (4 papers)

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Research

14 pages, 1370 KiB  
Article
A Multi-Criteria Multi-Cloud Service Composition in Mobile Edge Computing
by Beibei Pang, Fei Hao, Doo-Soon Park and Carmen De Maio
Sustainability 2020, 12(18), 7661; https://0-doi-org.brum.beds.ac.uk/10.3390/su12187661 - 16 Sep 2020
Cited by 6 | Viewed by 2099
Abstract
The development of mobile edge computing (MEC) is accelerating the popularity of 5G applications. In the 5G era, aiming to reduce energy consumption and latency, most applications or services are conducted on both edge cloud servers and cloud servers. However, the existing multi-cloud [...] Read more.
The development of mobile edge computing (MEC) is accelerating the popularity of 5G applications. In the 5G era, aiming to reduce energy consumption and latency, most applications or services are conducted on both edge cloud servers and cloud servers. However, the existing multi-cloud composition recommendation approaches are studied in the context of resources provided by a single cloud or multiple clouds. Hence, these approaches cannot cope with services requested by the composition of multiple clouds and edge clouds jointly in MEC. To this end, this paper firstly expands the structure of the multi-cloud service system and further constructs a multi-cloud multi-edge cloud (MCMEC) environment. Technically, we model this problem with formal concept analysis (FCA) by building the service–provider lattice and provider–cloud lattice, and select the candidate cloud composition that satisfies the user’s requirements. In order to obtain an optimized cloud combination that can efficiently reduce the energy consumption, money cost, and network latency, the skyline query mechanism is utilized for extracting the optimized cloud composition. We evaluate our approach by comparing the proposed algorithm to the random-based service composition approach. A case study is also conducted for demonstrating the effectiveness and superiority of our proposed approach. Full article
(This article belongs to the Special Issue Integration of Green ICTs and Industry into Green Governance for a Sustainable Ecosystem)
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25 pages, 3191 KiB  
Article
An Energy Efficient Routing Approach for Cloud-Assisted Green Industrial IoT Networks
by Khadak Singh Bhandari and GI Hwan Cho
Sustainability 2020, 12(18), 7358; https://0-doi-org.brum.beds.ac.uk/10.3390/su12187358 - 08 Sep 2020
Cited by 14 | Viewed by 2044
Abstract
The green industrial Internet of things (IIoT) is emerging as a new paradigm, which envisions the concept of connecting different devices and reducing energy consumption. In multi-hop low power and lossy network, a resource-constrained node should aware of its energy consumption while routing [...] Read more.
The green industrial Internet of things (IIoT) is emerging as a new paradigm, which envisions the concept of connecting different devices and reducing energy consumption. In multi-hop low power and lossy network, a resource-constrained node should aware of its energy consumption while routing the data packets. As part of IoT, the routing protocol for low power and lossy network (RPL) is considered to be a default routing standard. Recently, RPL has gained a significant maturity, but still, energy optimization is one of the main issues, because the default objective function (OF), which makes routing decision mainly based on a single parameter, such as link quality, and ignores the energy cost. Therefore, this paper aims to consider the concept of green IIoT concerning how a routing approach can achieve energy efficiency in resource-constrained IoT networks. For this, we propose a resource aware and reliable OF (RAROF), which constructs an optimum routing path by exploiting the information regarding the duty cycle, link quality, energy condition, and resource availability of a node. In addition, we propose node vulnerability index (NVI), a new routing metric that identifies the vulnerable nodes in terms of energy. To deal with the diverse data traffic of the IIoT network, we implement a multi-queuing based traffic differentiation approach that ensures the application requirements. The extensive simulation results show that the proposed RAROF can effectively extend the lifetime of the network, enhance the energy efficiency, and achieve higher reliability than that of other OFs. In this way, RAROF makes a routing decision with the purpose of extending network lifetime and minimizing energy depletion, paving the way towards green IIoT. Full article
(This article belongs to the Special Issue Integration of Green ICTs and Industry into Green Governance for a Sustainable Ecosystem)
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24 pages, 1760 KiB  
Article
A Systematic Study on the Analysis of the Emission of CO, CO2 and HC for Four-Wheelers and Its Impact on the Sustainable Ecosystem
by Rohit Sharma, Raghvendra Kumar, Pradeep Kumar Singh, Maria Simona Raboaca and Raluca-Andreea Felseghi
Sustainability 2020, 12(17), 6707; https://0-doi-org.brum.beds.ac.uk/10.3390/su12176707 - 19 Aug 2020
Cited by 43 | Viewed by 4073
Abstract
The urbanization in Delhi NCR has led to a rapid increase in the vehicle count concerning the rise in population and mobilization. The emissions from the vehicles are currently counted amongst the main sources of air pollution in Delhi. This affects the quality [...] Read more.
The urbanization in Delhi NCR has led to a rapid increase in the vehicle count concerning the rise in population and mobilization. The emissions from the vehicles are currently counted amongst the main sources of air pollution in Delhi. This affects the quality of air. The emission criterion of various pollutants that are emitted from vehicles is evaluated through various International models, which include various vehicles, their modes of pollutants emitted while driving and other factors that are affecting the weather. The approximate emission of pollutants such as Carbon Monoxide (CO) and/or Particulate Matter (PM), from a variety of vehicles and different fuel types, has undergone diurnal variation over the years, depending on the time of the day. This study presents the emission factor of gaseous pollutants Hydrocarbons (HC), Carbon Monoxides (CO) and Carbon Dioxide (CO2) of 181 four-wheeler cars from different companies containing different types of fuels. The measurement of gaseous pollutants is performed for Delhi, the most polluted city in India. The various facts and data were calculated and analyzed with reference to the standard values set by the national schemes of the Pollution and Environment. Based on this statistical data obtained and analyzed, the scenarios regarding future vehicle growth rate and its impact on air quality are mentioned to overcome emission problems. Therefore, it is important to develop and deploy methods for obtaining real-world measurements of vehicle emissions, to estimate the pollutants. The analysis shows that few parameters need to be a concern for reducing the pollutants emission by vehicles. These major parameters are the high survival rates, decrease in annual mileage and major enforcement for three-to-five-year-old vehicles. This study shows that many old vehicles are used in different regions of the country, regardless of many notifications of banning old vehicles by the Government of India. These old vehicles are the major source of vehicle pollutants. The analysis stated that the diesel engine would emit less CO2/km than a petrol engine if having an almost similar engine capacity. Full article
(This article belongs to the Special Issue Integration of Green ICTs and Industry into Green Governance for a Sustainable Ecosystem)
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16 pages, 4019 KiB  
Article
Hybrid Logical Security Framework for Privacy Preservation in the Green Internet of Things
by Isha Batra, Sahil Verma, Arun Malik, Kavita, Uttam Ghosh, Joel J. P. C. Rodrigues, Gia Nhu Nguyen, A. S. M. Sanwar Hosen and Vinayagam Mariappan
Sustainability 2020, 12(14), 5542; https://0-doi-org.brum.beds.ac.uk/10.3390/su12145542 - 09 Jul 2020
Cited by 31 | Viewed by 3304
Abstract
Lately, the Internet of Things (IoT) has opened up new opportunities to business and enterprises; however, the cost of providing security and privacy best practices is preventing numerous organizations from adopting this innovation. With the proliferation of connecting devices in IoT, significant increases [...] Read more.
Lately, the Internet of Things (IoT) has opened up new opportunities to business and enterprises; however, the cost of providing security and privacy best practices is preventing numerous organizations from adopting this innovation. With the proliferation of connecting devices in IoT, significant increases have been recorded in energy use, harmful contamination and e-waste. A new paradigm of green IoT is aimed at designing environmentally friendly protocols by reducing the carbon impact and promote efficient techniques for energy use. There is a consistent effort of designing distinctive security structures to address vulnerabilities and attacks. However, most of the existing schemes are not energy efficient. To bridge the gap, we propose the hybrid logical security framework (HLSF), which offers authentication and data confidentiality in IoT. HLSF uses a lightweight cryptographic mechanism for unique authentication. It enhances the level of security and provides better network functionalities using energy-efficient schemes. With extensive simulation, we compare HLSF with two existing popular security schemes, namely, constrained application protocol (CoAP) and object security architecture for IoT (OSCAR). The result shows that HLSF outperforms CoAP and OSCAR in terms of throughput with low computational, storage and energy overhead, even in the presence of attackers. Full article
(This article belongs to the Special Issue Integration of Green ICTs and Industry into Green Governance for a Sustainable Ecosystem)
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