Big Data Analysis for Green Environment Using Internet of Things
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: closed (21 April 2023) | Viewed by 4726
Special Issue Editors
Interests: machine learning; Artificial Intelligence and Deep Learning; big data analytics; demosaicking and denoising; Internet of Things
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; deep learning; artificial intelligence; image processing; signal processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Internet advancements allow the coordination and sharing of a common communication medium and a complete framework comprising different kinds of sensor arrangements, including smart home sensors, vehicular networks, climate and water sensors, smart parking sensors, and surveillance objects. Subsequently, expansions in the worldwide population have led to expanded interest for items and administration, which calls for more compelling methods of utilizing existing normal assets and materials. The new advancement of data and correspondence innovations, which enormously affect numerous regions, additionally affecting the climate and human wellbeing. Subsequently, societies are advancing toward a greener future by diminishing the utilization of nonrenewable materials, unrefined components, and assets while simultaneously diminishing energy contamination and utilization. Since data innovation is viewed as a way to address natural challenges, the green Internet of things is assuming an indispensable role in making a sustainable home. A data analysis investigation is needed to acquire an important outline of the enormous and different information created by the green IoT. The assembled data will be derived from dynamic and different exercises identified with keen metropolitan administrations and afterward added to the relentless improvement of green IoT innovation. Along these lines, regardless of whether economical and smart urban areas become a reality, the green IoT approach and the information acquired through huge information examination will make urban communities more maintainable, more secure, and more astute.
Therefore, to achieve a green environment, the volume of information made day by day using IoT takes us toward the speed of information creation, and the expanding interest for information stockpiling and handling have raised critical difficulties for analysts around the world. Applied and experimental examinations into the investigation of enormous information and prescient are, as yet, lacking. Contrasting and gathering the results of these examinations to arrive at quick discoveries is testing. Supportability examinations and arranging present a small bunch of replies to resolve arising issues by permitting the utilization of displaying, arranging, recreation, controlling, and advancement to plan more practical things and techniques. In the period of digitalization, information examination and related strategies are propelling the wide space of the cultural, monetary, and natural parts of people's lives.
Therefore, this Special Issue presents a platform for researchers and practitioners to explore the big data investigation and prescient logical strategies identified with the multidimensional parts of manageability. Moreover, it examines valuable strategies for big data analysis, dynamic, and exploration headings towards resolving the current issues identified with manageability, for instance, environmental change, green innovation, smart urban areas, and ecological issues by zeroing in on the promising techniques for information examination and prescient investigation. In particular, this Special Issue aims to expect the most original achievements and headways in big data revelation and examination with regard to supportability. Generally, this Special Issue will cover but is not limited to the following themes:
- IoT-based environmental big data processing and analysis
- IoT-based green city big data governance and management
- Environment-aware application, analytics, and visualization
- Knowledge-based systems for green IoT
- Big data analysis of energy distributions in smart cities
- Predictive analytics in green information systems
- Knowledge-based systems, computing, and visualization for green IoT
- Internet of things (IoT) technologies for sustainability
- Internet of vehicles for green environment
- Passenger sensing, control, and management
- Big data modeling, storage, management, and analytics
- Geography big data mining and exploration
- Large-scale sustainable infrastructure and smart buildings
Dr. Awais Ahmad
Dr. Gwanggil Jeon
Dr. Waseem Iqbal
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. Sensors 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 2600 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.
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
