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IoT for Energy Management Systems and Smart Cities, 2nd Volume
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Electrical Engineering Department, University of Jaen, Campus Las Lagunillas, s/n, 23071 Jaen, Spain
Electrical Engineering Department, University of Jaen, Campus Las Lagunillas, s/n, 23071 Jaen, Spain
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IoT for Energy Management Systems and Smart Cities, 2nd Volume

Abstract submission deadline
30 January 2025
Manuscript submission deadline
30 April 2025
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1523

Topic Information

Dear Colleagues,

This Topic is a continuation of the previous successful Topic “IoT for Energy Management Systems and Smart Cities”.

Smart cities represent a great advance in terms of sustainability, energy efficiency, and being able to respond to the needs of enterprises, institutions, and inhabitants.

In this sense, smart grids contribute to the development of smart cities in the field of electrical energy, including concepts such as renewable energies, distributed generation, energy efficiency, and smart homes and automation.

In order to be able to implement all the functionalities of smart grids, it is necessary to have real-time information on the different installations. In this sense, IoT plays a fundamental role in developing smart grids.

Cloud computing, which integrates the data obtained with smart electrical meters, smart electrical power analyzers, and other intelligent metering devices, contributes to the availability of the measured data in real time and provides intelligence to existing electrical networks.

Wireless communication networks, especially LPWAN, allow the construction of devices with low energy consumption and high operating autonomy, which can be installed in different locations even with difficult access.

The massive implantation of the electric vehicle implies the construction of charging stations. These stations must use renewable energy sources that contribute to saving fossil fuels, reducing CO2, and increasing the sustainability of electric mobility.

Hybrid storage systems, together with renewable energies, constitute new development systems, in which it is necessary to measure electrical variables and control the operation of the system.

Prof. Dr. Antonio Cano-Ortega
Prof. Dr. Francisco Sánchez-Sutil
Topic Editors

Keywords

  • cloud computing
  • smart electric meters
  • smart power analyzers
  • smart grids for smart cities
  • smart home and automation
  • monitoring and control renewable energy
  • public lighting system
  • distributed generation
  • hybrid electric energy storage systems 
  • electric vehicle charging stations 
  • wireless technologies

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Energies
energies 		3.2 5.5 2008 16.1 Days CHF 2600 Submit
Sensors
sensors 		3.9 6.8 2001 17 Days CHF 2600 Submit
Electronics
electronics 		2.9 4.7 2012 15.6 Days CHF 2400 Submit
Smart Cities
smartcities 		6.4 8.5 2018 20.2 Days CHF 2000 Submit
IoT
IoT 		- 5.2 2020 23.3 Days CHF 1200 Submit

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Published Papers (1 paper)

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29 pages, 8934 KiB  
Article
Delay and Energy Efficient Offloading Strategies for an IoT Integrated Water Distribution System in Smart Cities
by Nibi Kulangara Velayudhan, Aiswarya S, Aryadevi Remanidevi Devidas and Maneesha Vinodini Ramesh
Smart Cities 2024, 7(1), 179-207; https://doi.org/10.3390/smartcities7010008 - 16 Jan 2024
Viewed by 937
Abstract
In the fast-moving world of information and communications technologies, one significant issue in metropolitan cities is water scarcity and the need for an intelligent water distribution system for sustainable water management. An IoT-based monitoring system can improve water distribution system management and mitigate [...] Read more.
In the fast-moving world of information and communications technologies, one significant issue in metropolitan cities is water scarcity and the need for an intelligent water distribution system for sustainable water management. An IoT-based monitoring system can improve water distribution system management and mitigate challenges in the distribution network networks such as leakage, breakage, theft, overflow, dry running of pumps and so on. However, the increase in the number of communication and sensing devices within smart cities has evoked challenges to existing communication networks due to the increase in delay and energy consumption within the network. The work presents different strategies for efficient delay and energy offloading in IoT-integrated water distribution systems in smart cities. Different IoT-enabled communication network topology diagrams are proposed, considering the different water network design parameters, land cover patterns and wireless channels for communication. From these topologies and by considering all the relevant communication parameters, the optimum communication network architecture to continuously monitor a water distribution network in a metropolitan city in India is identified. As a case study, an IoT design and analysis model is studied for a secondary metropolitan city in India. The selected study area is in Kochi, India. Based on the site-specific model and land use and land cover pattern, delay and energy modeling of the IoT-based water distribution system is discussed. Algorithms for node categorisation and edge-to-fog allocation are discussed, and numerical analyses of delay and energy models are included. An approximation of the delay and energy of the network is calculated using these models. On the basis of these study results, and state transition diagrams, the optimum placement of fog nodes linked with edge nodes and a cloud server could be carried out. Also, by considering different scenarios, up to a 40% improvement in energy efficiency can be achieved by incorporating a greater number of states in the state transition diagram. These strategies could be utilized in implementing delay and energy-efficient IoT-enabled communication networks for site-specific applications. Full article
(This article belongs to the Topic IoT for Energy Management Systems and Smart Cities, 2nd Volume)
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