Artificial intelligence implication on energy sustainability in Internet of Things: A survey

Charef, Nadia; Mnaouer, Adel Ben; Aloqaily, Moayad; Bouachir, Ouns; Guizani, Mohsen

doi:10.1016/j.ipm.2022.103212

Cited by 28 publications

(7 citation statements)

References 130 publications

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“…As we look towards the 2030s, the advent of 6G networks is poised to overcome these obstacles, fulfilling the fundamental need for ubiquitous connectivity [ 140 , 141 ]. Research and industry are actively exploring the capabilities and requirements of 6G, with ultra-high frequency communications, artificial intelligence, edge computing, and non-terrestrial networks at the forefront [ 142 , 143 , 144 ]. These elements together will construct a fully networked 6G world, empowering remote IoT applications and emerging services.…”

Section: Future Outlook Toward 6g-eramentioning

confidence: 99%

Non-Terrestrial Networks for Energy-Efficient Connectivity of Remote IoT Devices in the 6G Era: A Survey

Plastras,

Tsoumatidis,

Skoutas

et al. 2024

Sensors

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The Internet of Things (IoT) is gaining popularity and market share, driven by its ability to connect devices and systems that were previously siloed, enabling new applications and services in a cost-efficient manner. Thus, the IoT fuels societal transformation and enables groundbreaking innovations like autonomous transport, robotic assistance, and remote healthcare solutions. However, when considering the Internet of Remote Things (IoRT), which refers to the expansion of IoT in remote and geographically isolated areas where neither terrestrial nor cellular networks are available, internet connectivity becomes a challenging issue. Non-Terrestrial Networks (NTNs) are increasingly gaining popularity as a solution to provide connectivity in remote areas due to the growing integration of satellites and Unmanned Aerial Vehicles (UAVs) with cellular networks. In this survey, we provide the technological framework for NTNs and Remote IoT, followed by a classification of the most recent scientific research on NTN-based IoRT systems. Therefore, we provide a comprehensive overview of the current state of research in IoRT and identify emerging research areas with high potential. In conclusion, we present and discuss 3GPP’s roadmap for NTN standardization, which aims to establish an energy-efficient IoRT environment in the 6G era.

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Section: Future Outlook Toward 6g-eramentioning

confidence: 99%

Non-Terrestrial Networks for Energy-Efficient Connectivity of Remote IoT Devices in the 6G Era: A Survey

Plastras,

Tsoumatidis,

Skoutas

et al. 2024

Sensors

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show abstract

“…For instance,(Parvathi Sangeetha et al 2022) developed a hybrid IoT system comprising remote-controlled devices, GPS, and Radial Function Network (RFN) to manage groundwater storage and transportation for a farmer's field while also monitoring soil humidity, pressure, and temperature in the farmland. Furthermore, the implementation of artificial intelligence and machine learning has a significant impact on enhancing energy sustainability in IoT networks (Charef et al 2023).…”

Section: Internet Of Things For Environmental Sustainabilitymentioning

confidence: 99%

Achieving Environmental sustainability through the adoption of industry 4.0: an exploratory case study within the information technology industry

El Merroun,

Istvan Janos,

Alkhlaifat

2024

Logistics, Supply Chain, Sustainability and Global Challenges

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In the present-day competitive business landscape, integrating Industry 4.0 has transitioned from a choice to a necessity for companies striving to maintain their edge. Given the automation functions of IoT, the data management and transformation capabilities of AI, and the traceability benefits provided by Blockchain, this imperative is now more evident than ever. While widespread interest in Industry 4.0 is prevalent, the uncertainties surrounding the implementation process pose notable challenges. For this reason, in this paper, we present a single case study of a firm that operates in the information technology market to showcase the implementation process and how they overcome the challenges of digital transformation. Furthermore, the effect of this implementation on environmental sustainability experienced by the company and three of its customers was discussed.

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“…Furthermore, the potential of cutting-edge technologies is highlighted, such as blockchain, machine learning, and artificial intelligence to improve the performance of smart grid systems. A survey of various AI-based solutions for achieving energy sustainability in IoT networks is provided in [10], wherein different design strategies, including energy-aware and opportunistic designs, data aggregation, and energy sustainable computing are covered. The importance of accurate modeling and response to the stochastic nature of energy availability to optimize IoT performance in terms of quality of service is discussed.…”

Section: Introductionmentioning

confidence: 99%

Application of Internet of Things in Residential Distribution Systems

Alfraidi,

Alaql,

Soltani

et al. 2023

Sustainability

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Enabling an internet of things (IoT) application in residential distribution systems by integrating houses with IoT windows and occupant behavior can provide numerous advantages to the power grid, including, but not limited to, demand diminution, congestion reduction, and capacity deferral. This paper presents a new framework that mathematically enables an IoT application in residential distribution systems by integrating IoT windows and occupant behavior with houses for load management and energy conservation. With the proposed framework, we model residential loads considering the IoT concept, and then develop a mathematical optimization model that facilitates the integration of IoT-based houses into the residential distribution system. Different case studies considering a 33-bus distribution network are presented and discussed to demonstrate the effectiveness of penetrating IoT-based houses on distribution system operations and household profitability. It is observed that the profit of the local distribution company decreases when houses are transformed to IoT-based houses due to the fact that less energy is sold to the households. On the other hand, the operation cost of the IoT-based house is lower than that of the conventional house because of the better-managed house energy use, thereby resulting in saving money. It is found that 10% and 20% penetrations of IoT-based houses help reduce the maximum power imported through the distribution substation by 30 kW and 60 kW, respectively. It is also found that the load of IoT-based houses and power availability of a rooftop photovoltaic generation are not compatible, and hence, without an action from the customer and/or utility to coordinate them through a demand response program, IoT-based houses would not contribute to increasing the connectivity of PV-distributed generation in the smart grid.

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Artificial intelligence implication on energy sustainability in Internet of Things: A survey

Cited by 28 publications

References 130 publications

Non-Terrestrial Networks for Energy-Efficient Connectivity of Remote IoT Devices in the 6G Era: A Survey

Non-Terrestrial Networks for Energy-Efficient Connectivity of Remote IoT Devices in the 6G Era: A Survey

Achieving Environmental sustainability through the adoption of industry 4.0: an exploratory case study within the information technology industry

Application of Internet of Things in Residential Distribution Systems

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