Jul 2026· International Conference on Smart Communications and Networking· pp. 1-4· 0 citations· 16 references
Abstract
Energy resilience is becoming a key requirement for future smart infrastructures, particularly in Smart City environments characterized by large-scale distribution, heterogeneous stakeholders, and long operational lifetimes. While energyefficient communication has been widely studied, integrating it into sustainable and resilient urban systems remains a challenge. This paper presents a visionary, architecture-driven perspective on energy-resilient communication systems, with a primary focus on Smart City applications. Drawing on architectural experience from the EKI-Saxony initiative, the paper introduces a reference architecture for Smart Cities that integrates energy-autonomous field devices, mobile service entities, and modular platform services via adaptive, decentralized communication mechanisms. The SmartGreenZitty concept illustrates how energy-resilient communication can be operationalized as an enabling infrastructure layer for sustainable urban services rather than as an isolated technology. Beyond Smart City environments, the paper outlines how the same architectural principles, such as energy autonomy, decentralized intelligence, and graceful degradation, can be transferred to industrial ecosystems, including smart factories, logistics, and automation systems. The presented architecture aims to support long-term, robust, and adaptable digital infrastructures across domains. This paper does not propose new communication protocols or quantitative performance evaluations, but instead focuses on system-level architectural principles intended to guide future implementation and evaluation efforts.
Climate change has significantly increased the severity of natural disasters, causing serious issues in telecommunication infrastructures when connectivity is most needed, especially for saving lives. Although current 4G and 5G networks integrate resilience procedures, such as infrastructure reinforcement and temporary network that can be deployed, these solutions may fail under large-scale, or simultaneous climate disruptions. This paper presents a comprehensive survey of a climate-resilient 6G networks, proposing an architectural transition toward proactive, intelligent, and adaptive communication systems. The study reviews key 6G technologies that enable greater resilience during disasters, including Space-Air-Ground Integrated Networks (SAGIN) for flexible aerial and satellite connectivity, Integrated Sensing and Communication (ISAC) for real-time environmental awareness, AI-native self-healing mechanisms for autonomous network recovery, and ambient energy harvesting for sustainable operation beyond traditional power grids. Furthermore, the paper discusses major research challenges, including satellite–terrestrial integration, seamless handover management, and the energy efficiency of AI-Driven network intelligence.
Unknown authors· Transactions on Engineering...· 0 citations
The increasing integration of renewable energy resources, distributed energy systems, and intelligent sensing technologies has accelerated the transformation of conventional power grids into interconnected cyber–physical smart energy ecosystems. In this context, the convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has emerged as a key enabler for intelligent monitoring, adaptive energy management, resilient grid operation, and sustainable energy coordination. Although numerous studies have investigated AI, IoT, blockchain, and cybersecurity technologies individually, many existing reviews focus on isolated domains without adequately addressing the interactions between intelligent operational control, communication infrastructures, decentralized coordination, sustainability, and cyber resilience. Accordingly, this paper presents a comprehensive system-level review of AI–IoT-enabled smart energy ecosystems, focusing on smart grids, microgrids, intelligent energy management, blockchain-enabled decentralized coordination, carbon emissions monitoring, and cyber-resilient energy infrastructures. Unlike existing surveys that primarily emphasize individual technologies or algorithmic performance, this work highlights the cross-layer integration and architectural interdependencies between AI-driven operational intelligence, IoT-enabled monitoring, secure communication frameworks, and sustainability-oriented energy management. The paper also discusses key challenges related to interoperability, scalability, cybersecurity, communication latency, and distributed coordination, in addition to future research directions toward resilient, autonomous, and sustainable intelligent energy ecosystems.
Maen Takruri, Mohammad Rabih, Lucas Mouhannad Dbeiss et al.· Engineer· 0 citations
Advanced Metering Infrastructure (AMI) is a key enabler of digital and intelligent power systems, particularly in microgrid environments. However, existing research often addresses AMI from fragmented perspectives, limiting a comprehensive understanding of its role within integrated and data-driven energy systems. This paper presents a structured analysis of AMI based on a bibliometric and thematic review of recent literature, identifying the main research trends, technological drivers, and emerging directions in the field. The results reveal a transition of AMI toward a data-centric platform that supports real-time monitoring, bidirectional energy management, and intelligent decision-making. Key domains include cybersecurity, data analytics, communication systems, and distributed energy integration, while emerging technologies such as artificial intelligence and the Internet of Energy play a critical role in future developments. Finally, the paper outlines key challenges and provides strategic recommendations to support the effective deployment of AMI in microgrids, contributing to the development of resilient and sustainable energy systems.
Juan Camilo Riaño-Rueda, Melisa de Jesús Barrera-Durango, N. Muñoz-Galeano et al.· Electricity· 0 citations
Smart mobility represents a transformative approach to designing and managing transportation systems by integrating information and communication technologies, artificial intelligence, sustainable engineering, urban planning, and human-centered design. Traditional transportation models, characterized by static infrastructure and reactive management, struggle to address rapid urbanization, environmental pressures, and evolving user expectations. Smart mobility enables adaptive, data-driven, and interconnected transport ecosystems through real-time system awareness and predictive control. This multidisciplinary study examines smart mobility solutions at the intersection of technological, social, environmental, and economic dimensions. It integrates insights from intelligent transportation systems (ITS), IoT-based sensing, machine learning-driven decision systems, and sustainable mobility engineering. A conceptual framework is proposed for evaluating smart mobility architectures using distributed computing environments such as edge intelligence and cloud coordination. Key performance indicators (KPIs) are developed to measure congestion reduction, emission control, safety improvement, and user satisfaction. Simulation results indicate that learning-enabled mobility systems outperform traditional models in responsiveness, scalability, and sustainability. However, challenges related to interoperability, data governance, cybersecurity, and equitable access remain. Future research directions include federated learning, cross-layer optimization, and socio-technical policy integration.
Donna Coleman· International Journal of Eme...· 0 citations
The world is currently facing an unprecedented energy crisis driven by population growth, urbanization, and industrialization, which are placing immense pressure on global energy resources. As a result, the modern energy landscape is undergoing a significant transformation, shifting from a centralized, one-way power distribution model to a decentralized, interactive, and intelligent system known as the smart grid. At the heart of this transition lies the concept of the smart home. The integration of smart grid technology with smart homes marks a transformative shift in the energy landscape, changing the way energy is generated, distributed, and consumed. This system is built on a sophisticated architecture that enables seamless communication and energy flow. By moving away from traditional unidirectional power distribution to a bidirectional, data-driven ecosystem, smart grids empower consumers to participate in energy management actively. They play a crucial role in enhancing the efficiency and functionality of smart homes. This paper explores the integration of smart grid technologies into smart homes and highlights their potential to redefine residential energy consumption.
Matthew N. O. Sadiku, D. Padi, Janet O. Sadiku· International Journal of Fut...· 0 citations
Public squares in tropical cities increasingly operate as hybrid environments where embodied co-presence is negotiated with smartphone-mediated cyberspace. Yet many tropical public-space upgrades still rely on fixed zoning, generic comfort devices, or event-only infrastructure, offering limited guidance on how digitally mediated micro-activities can be translated into reconfigurable, low-carbon spatial support. In line with green and smart engineering agendas for the environment, energy, and resilient infrastructure, this paper proposes an ephemeral architecture approach for Malang City Square, Indonesia. Using design-based research, the study combines structured time-window behavior mapping, activity typology coding, anthropometric footprint translation, and a rubric-based scenario evaluation. The approach is explicitly framed as a decision-support design study rather than a measured post-occupancy performance test. The resulting strategy preserves the square’s green core while introducing slide/fold/shift modules that create distributed digital micro-spaces, rapidly clear for civic and religious events, and improve tropical comfort and rain resilience through adaptive shading, elevated dry routes, rainwater reuse, and IoT-ready operation. The scenario evaluation indicates potential gains in Adaptability, circularity, outdoor comfort, safety, and operational intelligence, while identifying the need for future structural, thermal, and operational validation.
F. Samodra, Ramadhany Achmad Zulfikar, D. Fasya· E3S Web of Conferences· 0 citations
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