Energy Optimization for Smart Cities Using IoT. Issue 1 (31st December 2022)
- Record Type:
- Journal Article
- Title:
- Energy Optimization for Smart Cities Using IoT. Issue 1 (31st December 2022)
- Main Title:
- Energy Optimization for Smart Cities Using IoT
- Authors:
- Humayun, Mamoona
Alsaqer, Mohammed Saleh
Jhanjhi, Nz - Abstract:
- ABSTRACT: When it comes to smart cities, one of the biggest issues is energy optimization. This is because these cities employ a large number of interconnected devices to autonomously manage city operations, which consumes a lot of energy. This difficulty has been addressed in this paper by using the advantages of contemporary cutting-edge technologies such as the Internet of Things (IoT), 5 G, and cloud computing for energy efficiency in smart cities. With the use of these cutting-edge technologies, we have proposed a model that can be used to optimize energy consumption in smart homes and smart cities alike. Street lighting, building and street billboards, smart homes, and smart parking are among the four essential features of smart cities that would benefit from the proposed model's energy savings. All smart city electric appliances will be equipped with IoT sensors that will detect movements and react to commands. In order to transport data swiftly between communication channels and the cloud, 5 G technology will be deployed, and the cloud technology will be used to store and retrieve data effectively. The suggested model was evaluated using mathematical modeling, and the findings indicate that the proposed model may assist in improving energy usage in smart cities.
- Is Part Of:
- Applied artificial intelligence. Volume 36:Issue 1(2022)
- Journal:
- Applied artificial intelligence
- Issue:
- Volume 36:Issue 1(2022)
- Issue Display:
- Volume 36, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 36
- Issue:
- 1
- Issue Sort Value:
- 2022-0036-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-12-31
- Subjects:
- Artificial intelligence -- Periodicals
006.3 - Journal URLs:
- http://www.tandfonline.com/toc/uaai20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/08839514.2022.2037255 ↗
- Languages:
- English
- ISSNs:
- 0883-9514
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1571.650000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22441.xml