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Future Internet, Volume 16, Issue 5

May 2024 - 35 articles

Cover Story: In a decentralised renewable energy production scenario, a large number of small energy producers, the prosumers, contribute to a common distributor entity, who resells energy to the end users. A major challenge is to constantly balance produced vs consumed energy flows to ensure power stability with respect to the fluctuations in renewable energy sources. In this study, we explored the challenges and benefits of adopting an Ethereum blockchain network as a scalable remote interaction platform between the prosumers, and as a decentralised, trust-less platform with which to implement the energy load balancing service via smart contracts. The deployed aggregator service opportunely modulates the energy flows in order to provide quick restore actions in response to unpredictable unbalancing events. View this paper
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Articles (35)

  • Article
  • Open Access
17 Citations
7,497 Views
30 Pages

During the last decade, the cybersecurity literature has conferred a high-level role to machine learning as a powerful security paradigm to recognise malicious software in modern anti-malware systems. However, a non-negligible limitation of machine l...

  • Article
  • Open Access
13 Citations
5,471 Views
22 Pages

Systematic reviews (SRs) are a rigorous method for synthesizing empirical evidence to answer specific research questions. However, they are labor-intensive because of their collaborative nature, strict protocols, and typically large number of documen...

  • Article
  • Open Access
4 Citations
2,468 Views
20 Pages

Charging stations and electric vehicle (EV) charging networks signify a significant advancement in technology as a frontier application of the Social Internet of Things (SIoT), presenting both challenges and opportunities for current 6G wireless netw...

  • Article
  • Open Access
9 Citations
3,130 Views
18 Pages

The metaverse, which amalgamates physical and virtual realms for diverse social activities, has been the focus of extensive application development by organizations, research institutes, and companies. However, these applications are often isolated,...

  • Article
  • Open Access
1 Citations
1,999 Views
18 Pages

As network technology advances, there is an increasing need for a trusted new-generation information management system. Blockchain technology provides a decentralized, transparent, and tamper-proof foundation. Meanwhile, data islands have become a si...

  • Article
  • Open Access
16 Citations
3,984 Views
13 Pages

Blockchain-Based Zero-Trust Supply Chain Security Integrated with Deep Reinforcement Learning for Inventory Optimization

  • Zhe Ma,
  • Xuhesheng Chen,
  • Tiejiang Sun,
  • Xukang Wang,
  • Ying Cheng Wu and
  • Mengjie Zhou

Modern supply chain systems face significant challenges, including lack of transparency, inefficient inventory management, and vulnerability to disruptions and security threats. Traditional optimization methods often struggle to adapt to the complex...

  • Article
  • Open Access
9 Citations
2,421 Views
19 Pages

Recent years have witnessed a significant dispersion of renewable energy and the emergence of blockchain-enabled transactive energy systems. These systems facilitate direct energy trading among participants, cutting transmission losses, improving ene...

  • Article
  • Open Access
3 Citations
2,470 Views
15 Pages

Situational awareness (SA) is crucial in disaster response, enhancing the understanding of the environment. Social media, with its extensive user base, offers valuable real-time information for such scenarios. Although SA systems excel in extracting...

  • Article
  • Open Access
2,437 Views
18 Pages

Effective requirement collection and prioritization are paramount within the inherently distributed nature of the Internet of Things (IoT) application. Current methods typically categorize IoT application requirements subjectively into inessential, d...

  • Article
  • Open Access
5 Citations
3,558 Views
24 Pages

Managing cellular networks in the Beyond 5G (B5G) era is a complex and challenging task requiring advanced deep learning approaches. Traditional models focusing on internet traffic (INT) analysis often fail to capture the rich temporal and spatial co...

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Future Internet - ISSN 1999-5903