Smart Communication Research Articles

Joint Computation Offloading and Resource Allocation in Multi-Edge Smart Communities With Personalized Federated Deep Reinforcement Learning

Joint Computation Offloading and Resource Allocation in Multi-Edge Smart Communities With Personalized Federated Deep Reinforcement Learning

Reconstructing Signals in Millimeter Wave Channels Using Bayesian-Based Fading Models

Fading in communication channels presents eminently stochastic characteristics and is a significant challenge, especially at millimeter wave (mmW) frequencies, where the need for lines of sight and the high attenuation of obstacles complicate transmission. This article presents a model based on Bayesian fundamentals intended to improve the description and simulation of stochastic fading effects in these channels. It also includes the use of signal processing techniques to simulate and reconstruct the received signal, simulating the communication channel with an FIR filter. The results obtained by simulating the model show its ability to efficiently capture rapid and profound variations in the signal, typical of those that occur in urban and suburban environments and transmissions in the mmW spectrum. It also provides greater uniformity in signal reconstruction compared to the traditional models that are in use. Using Bayesian fundamentals, which allow dynamic adaptation to change in channel behavior, can improve the efficiency and reliability of networks, especially modern smart networks. Compared to traditional models, the proposed model offers improved signal reconstruction and fading mitigation accuracy, with prospects for future integration in smart communication systems. The better capacity in signal reconstruction presents itself as a differentiator of the model, suggesting greater precision in data transmission.

Gaps in and Opportunities for Disaster Risk Reduction in Urban Areas Through International Standardization of Smart Community Infrastructure

Global communities are becoming increasingly vulnerable to natural hazards and climate change, and the rapid pace of urbanization exacerbates these risks. According to the World Bank, approximately 50% of the world’s population lives in areas exposed to natural hazards, making the need to overcome the challenges to sustainable urban development pressing. The increasing frequency of heavy rain, flooding, landslides, and wildfires underscores the urgent need for disaster risk mitigation strategies, aligned with sustainable development goals. Infrastructure plays a crucial role in cultivating resilient cities that can withstand, recover from, and adapt to disasters, while promoting long-term sustainability, by minimizing environmental degradation and encouraging responsible development. International standards for smart community infrastructure provide significant advantages, including cost reductions, technology transfer, and enhanced innovation through improved global competitiveness. This paper investigates how these standards can empower community stakeholders to strengthen both the resilience and sustainability of urban areas, facilitating balanced growth that addresses environmental and social demands.

Exploring the Mechanisms Driving Sense of Community in a Smart Society in Wuhan: A Mixed-Methods Multidimensional Comparative Study

In the context of China’s community governance, as a result of the insufficient willingness and ability of residents to participate, most communities have formed a “strong political–weak social” governance structure, which limits the effective expansion of social capital. To address this challenge and promote resident participation, achieving a “strong social and political” transformation in governance structure has become a core issue in current research. Meanwhile, “sense of community” serves as a crucial perspective in this research, which remains to be deepened in domestic studies and needs to consider the impact of emerging factors such as smart technologies. This study innovatively introduces affective events theory (AET), constructing a theoretical model and taking Wuhan as an example. By adopting quantitative and case comparison research methods, the paper delves into the factors influencing Wuhan residents’ sense of community in the context of a smart society and the promoting role of smart governance. On the basis of the findings, this paper presents the following conclusions: (1) Communities should attribute equal importance to the construction of both traditional and smart environments while reinforcing the leading and participatory roles of community administrators; (2) In the community’s daily governance processes, equal focus and importance must be attributed to both service delivery and engagement; (3) Communities must acknowledge the individual distinctions among residents and implement tailored governing strategies accordingly; (4) The government should prioritize the research and development of smart applications while boosting financial investments in the creation and operation of smart communities.

INCREASING PUBLIC AWARENESS IN DRUG USE THROUGH SMART COMMUNITY MOVEMENT USING DRUGS (SCMUD)

The community tends to try to overcome health problems through easier and more cost-efficient methods. This triggers the tendency of the community to self-medicate. Self-medication is the use of drugs by individuals, not based on a doctor's prescription, but based on the individual's initiative. This community service aims to increase awareness of using drugs through Smart Community Movement Using Drugs (SCMUD) in the Bulakdawung community, Parang village, Banyakan district, Kediri regency. The activity was carried out on May 17, 2024, by providing Health Counseling to mothers who accompany their children to study groups, with lecture and question and answer methods, the media used was the leaflet of awareness of using drugs. The results of the activity were 21 mothers with most elementary school education backgrounds (80.95%), work as housewives (95.23%), less knowledge about awareness of using drugs (71.42%), good attitudes awareness of using drugs (66.67%) and drug use behavior in the family (80.9%) and those lacking 19.1%. After being given health education regarding the safe use of drugs through the Smart Community Movement Using Drugs, the community increasingly understands and carries out awareness to avoid the negative impacts of self-medication and provide appropriate treatment for family members who are sick and utilize health service centers appropriately. It was concluded that the activity can increase public awareness in the use of drugs through health counseling.

Multi-Agent Reinforcement Learning for Smart Community Energy Management

This paper investigates a Local Strategy-Driven Multi-Agent Deep Deterministic Policy Gradient (LSD-MADDPG) method for demand-side energy management systems (EMS) in smart communities. LSD-MADDPG modifies the conventional MADDPG framework by limiting data sharing during centralized training to only discretized strategic information. During execution, it relies solely on local information, eliminating post-training data exchange. This approach addresses critical challenges commonly faced by EMS solutions serving dynamic, increasing-scale communities, such as communication delays, single-point failures, scalability, and nonstationary environments. By leveraging and sharing only strategic information among agents, LSD-MADDPG optimizes decision-making while enhancing training efficiency and safeguarding data privacy—a critical concern in the community EMS. The proposed LSD-MADDPG has proven to be capable of reducing energy costs and flattening the community demand curve by coordinating indoor temperature control and electric vehicle charging schedules across multiple buildings. Comparative case studies reveal that LSD-MADDPG excels in both cooperative and competitive settings by ensuring fair alignment between individual buildings’ energy management actions and community-wide goals, highlighting its potential for advancing future smart community energy management.

Comparison of Intelligent Community Design from the Perspective of Modernization--Shenzhen and Singapore as examples

With the continuous advancement of modernization, globalization, and urbanization, smart communities have received widespread attention as an important part of modern urban development. Taking two typical cases, Shenzhen and Singapore, as objects, this study compares and analyzes the design and practice experiences of the two smart communities from the modernization perspective. By comparing the design and practice of the two smart communities in Shenzhen and Singapore, it explores the common features and differences of smart community construction in different modernization contexts and provides reference and inspiration for smart community construction in future cities. Through literature research and case studies, a comparative analysis is conducted to study the design concepts, practice methods, and effects of two smart communities in Shenzhen and Singapore. The results of the study show that Shenzhen focuses on innovation and cutting-edge technology, which improves the efficiency of community governance and the quality of life of residents;Singapore focuses on community autonomy, and through intelligent management and residents' cooperation, it has improved the level of community facility management and residents' participation.This study provides useful experience and enlightenment for the construction of other urban smart communities, and provides a reference for promoting the smooth progress of urban modernization.

Electricity user behavior analysis and marketing strategy based on internet of things and big data

This paper examines power user behavior and the design of marketing strategies, using a case study of Smart Community A. We explore how advanced analytical models are used to enhance energy efficiency and user services. First, we apply spectral clustering to refine user segmentation and identify distinct electricity consumption patterns among different groups. Then, the Hidden Markov Model (HMM) analyzes user behavior, uncovering shifts in consumption habits and enabling personalized service offerings. Next, the ARIMA model predicts electricity consumption trends, guiding grid scheduling and resource allocation. Based on these analyses, we develop targeted marketing strategies, such as dynamic pricing and energy-saving incentives, which boost user engagement and reduce energy usage. Through an IoT and big data-driven interactive marketing platform, we enhance user experience and foster a culture of energy conservation. Finally, a feedback mechanism ensures continuous improvement and maximizes the effectiveness of the marketing strategies.

A COMPREHENSIVE REVIEW ON GRAPHENE: HISTORICAL DEVELOPMENT, PROPERTIES, APPLICATIONS, CHALLENGES AND FUTURE SCOPE

Graphene, due to its extraordinary properties is revolutionizing various fields. This paper explores some unusual characteristics of graphene such as mechanical properties, electrical and thermal conductance, and optical transparency. We will discuss its potential uses in various areas: super-strong composites for ultra-light and extra-durable materials and next-generation gadgets where graphene exposure might offer improved speeds. In addition, the possible applications of this nano-material in developing novel clear and flexible touch panels and advanced water filtration technologies are explored. But there are also problems with increasing output, maintaining the quality, and managing safety and health aspects despite its great potential. The paper also discusses the probable future impact of graphene on the sector of medicine, the usage of renewable energy, smart communities, and more. This analysis enhances the identification of graphene as a future wonder material by highlighting the state of research, the application of the material, and the opportunities as well as the challenges that the field has and will encounter.

Development of a Smart Metering System for Efficient Energy Consumption

Smart energy concepts are based on the utilization of emerging integrated microprocessors and communication technologies for monitoring energy consumption. In the utilization of electricity, energy management is a core problem, especially for cost savings to the benefit of electricity customers. In modern electricity generation, transmission and consumption, energy management has occupied the center of attention for sustainable techno-economic motives. The present-day power sector has an immense role to play in the overall economic performance of the global community, thus, requiring the application of efficient and reliable metering systems for the measurement of energy consumption. The application of a smart metering system depends on the effectiveness of the embedded smart communication interface in the utility service provider system and the energy consumers’ metering devices based on energy supply reliability and consumption security. Therefore, this study focuses on the design and development of an efficient smart energy meter using the advancements provided by the Internet of Things (IoTs). The system was tested based on the collection of real-time data and subsequently analyzed for performance evaluation through a case study of household data collection.

Quantifying Residents’ Perceptions of Smart Community Construction through a Hybrid EWM-PROMETHEE II Method: A Case Study of Shenzhen, China

Smart community construction (SCC) is pivotal for urban modernization, yet extant research often neglects the residents’ perceptions of these initiatives, focusing predominantly on technological advancements. A hybrid evaluation method integrating the Entropy Weight Method (EWM) and PROMETHEE II was developed to quantify residents’ perceptions of SCC. Through the literature review and expert interview, the evaluation indicators for residents’ perceptions of the SCC were identified, leading to the development of an evaluation indicator system consisting of 5 dimensions and 25 indicators. The hybrid evaluation method that combines EWM and PROMETHEE II was then applied to quantify the level of residents’ perceptions of SCC across five communities in Shenzhen city of China, using data from 410 valid questionnaires. The results indicated that the Baolong community had the highest level of the SCC, while the Nanyuan community exhibited the lowest ranking. Sensitivity analysis confirmed the robustness of these results, thereby validating the evaluation process. Moreover, recommendations were proposed to enhance residents’ perceptions of smart community initiatives. This research not only introduces a novel evaluation method that expands the body of knowledge on the SCC and residents’ perceptions but also helps the government develop sustainable SCC strategies.

Innovative Application of Intelligent Internet of Things in Smart Cities

The Internet of Things, as an important component of the new generation of information technology system, regards the Internet as the main carrier of information, enabling all ordinary physical objects that can be independently addressed to achieve interconnectivity. This is the key to promoting urban modernization and building smart cities. This paper analyzes and studies the application of Internet of Things technology in smart cities. Based on the understanding of relevant concepts, it aims to understand the relationship between IoT technologies and smart city construction, clarify the role of Internet of Things in smart city construction, and the challenges currently faced by IoT technologies in smart city application. Therefore, taking the smart community as the starting point, the application of the smart Internet of Things in the smart community is completed through eight steps: demand analysis, planning and design, sensor and device deployment, data collection, data storage, data analysis, control and scheduling, and user application development. The experiment results show that after establishing a smart community control platform based on smart IoT technologies, the failure rate of the comprehensive information sending end, receiving end, output system, and hardware system is low, the user experience satisfaction is high, and the platform performance is strong.

Enhancing Smart Communication Systems through the Power of Artificial Intelligence

Enhancing Smart Communication Systems through the Power of Artificial Intelligence

"PI-JAK" Tax Smart Community: Tax Literacy of PP No. 58 Year 2023 for Gunung Gangsir Village

"PI-JAK" Tax Smart Community: Tax Literacy of PP No. 58 Year 2023 for Gunung Gangsir Village

Exploring the effects of interdependencies on energy systems in smart communities: A multi-domain modeling and quasi-Monte Carlo sensitivity analysis

An efficient smart and connected community (SCC) depends on the interconnectivity of essential infrastructure systems. However, current modeling tools are unable to determine which interconnections are most important to include, particularly as system dynamics become more complex with high-order effects. To bridge this gap, we propose a comprehensive framework that incorporates multi-layers, multi-blocks, and multi-agents to model interdependent infrastructure systems. Interconnections span cyber, physical, and logical aspects, including human interactions. With the equation-based object-oriented language Modelica, we model energy, transportation, communication, and water systems for a hypothetical SCC and assess higher-order interdependency effects during normal operation. Additionally, we develop a quasi-Monte Carlo sensitivity analysis framework and use variance-based sensitivity metrics to assess the impact of interdependencies on energy system operation. Compared to the decoupled baseline system, the energy consumption of logical interdependency cases varied by 23.3%, the cyber interdependency by 2.0%, and the nested global interdependency by 21.5%. The sensitivity analysis further revealed that interrelationships are not linear nor quadratic, but involve higher-order interactions between parameters. Specifically, occupancy and cyber delays had significant first-order effects. Road delays had a significant higher-order effect, which corresponded to a stronger influence on other model parameters. By modeling higher-order cascading dependencies, our proposed framework has the potential to improve the planning, operation, and co-design of SCCs by quantifying the importance of complex system interactions.

Enhancing Smart Communication Systems through the Power of Artificial Intelligence

Enhancing Smart Communication Systems through the Power of Artificial Intelligence

Initiation Of Smart Village Development In Lerep Tourism Village

Lerep Village, West Ungaran District, Semarang Regency is a tourist village that is widely known regionally and nationally.in the post-covid 19 pandemic era, the development of the Lerep tourism village has begun to rise. Along with the PPKM policy, this Tourism Village must be able to utilize information and communication technology (ICT) in order to be able to promote tourism objects to the wider community. The existence of the Smart Village concept is expected to be able to encourage the development of the Lerep Tourism Village, without eliminating local wisdom.Implementation of smart village through an approach that includes smart government, smart community, smart living, smart economy, smart environment, and smart mobility.The problem is the readiness and ability of the community and officials have not fully implemented the concept.The purpose of this research is to identify and analyze Smart Village initiatives in the management of the Lerep Tourism Village. The research was conducted in Lerep Village, West Ungaran District, Semarang Regency. with rationalistic qualitative deductive methods, descriptive analysis techniques. Conclusion Lerep Village already has an initiation of its smart village elements by not abandoning the local wisdom system at every village event. Keywords: initiation, smart, village, tourism

Effect of TiC addition on microstructure and properties of network structured TiC–ZrO2 composite conductive ceramics

Zirconia (ZrO2) ceramics have excellent mechanical properties and high-temperature conductivities. However, ZrO2 ceramics do not possess room-temperature conductivity, which significantly limits their application as functional components in smart communication devices and wearable smart products. To achieve room-temperature conductivity in ZrO2 ceramics, this study prepared a network-structured TiC–ZrO2 composite conductive ceramic with a low titanium carbide (TiC) addition using pressureless sintering. The influence of the TiC addition on the microstructure, mechanical properties, and electrical properties of the TiC–ZrO2 composite material was investigated. The results showed that the composite material consists of cubic zirconia (c-ZrO2), tetragonal zirconia (t-ZrO2), and titanium carbide (TiC) phases. When the TiC content was 11 vol %, the relative density, open porosity, flexural strength, and fracture toughness of the sample were 98.6 ± 0.1 %, 0.16 ± 0.06 %, 383 ± 38 MPa, and 4.66 ± 0.26 MPa m1/2, respectively. The electrical percolation threshold of the TiC–ZrO2 composite was between 8.0 and 11.0 vol %. When the TiC content is 18.8 vol %, the sample exhibited the lowest room-temperature resistivity of 3.00 × 10−5 Ω m. The electrical resistance of the TiC–ZrO2 composite material is mainly attributed to the grain boundary effect. With increasing TiC content, the resistivity of the composite material decreased, exhibiting linear conductivity and achieving conductive percolation characteristics.

Decentralization, Blockchains, and the Development of Smart Communities in Economically Challenging Environments

Decentralization, Blockchains, and the Development of Smart Communities in Economically Challenging Environments

A comprehensive review of energy efficient routing protocols for query driven wireless sensor networks

In this current era of communications and networking, The Internet of things plays the main role in the making of smart communication and networking. In this article, we have focused on the literature survey on wireless sensor networks which are energy efficient. Various standard protocols are reviewed along with some enhanced protocols which makes the network energy efficient. The comparison of the standard and enhanced protocols with respect to various applications in wireless sensor networks is thoroughly done in this article. The outcomes of the enhanced protocols are also briefly discussed. For easier analysis to future researchers, a comparative table which lists the enhanced protocols which are compared with standard counterparts along with the factors for energy efficiency of the protocols. This article also comments on the issues and challenges of the protocols which can be further analyzed for making the wireless sensor network more energy efficient.