CC BY
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capabilities, fostering collaboration with credible news organizations, and developing robust frameworks for ethical decision-making.
Список использованной литературы:
1. McChesney, R. W., & Nichols, J. (2010). The Death and Life of American Journalism: The Media Revolution that Will Begin the World Again.
2. Diakopoulos, N. (2019). Automating the News: How Algorithms are Rewriting the Media.
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© Atamyradov B., Tagangylyjov I., 2024
УДК 62
Atanazarov A.,
student.
Gylyjov A.,
teacher.
Oguz han Engineering and Technology university of Turkmenistan.
Ashgabat, Turkmenistan.
IOT-BASED SMART CITY NETWORK Annotation
The concept of smart cities is rapidly becoming a cornerstone of urban development, aiming to address the growing challenges of urbanization, sustainability, and quality of life. The Internet of Things (IoT) plays a pivotal role in this transformation by creating interconnected networks that enable real-time data collection, analysis, and decision-making. This paper explores the architecture, applications, and challenges of IoT-based smart city networks, focusing on areas such as transportation, energy, healthcare, waste management, and public safety. By integrating IoT devices, cloud computing, and artificial intelligence, smart cities can optimize resources, reduce environmental impact, and enhance the well-being of citizens. The paper also discusses security and privacy concerns, scalability issues, and future research directions.
Keywords:
IoT, smart city, urban development, sustainability, connected technologies, urban infrastructure, smart transportation, public safety, IoT security.
Rapid urbanization presents significant challenges, including resource management, traffic congestion, waste disposal, and public safety. Traditional urban infrastructure struggles to keep pace with these demands. Smart cities aim to overcome these challenges by leveraging technology to enhance urban living.
The Internet of Things (IoT) is a fundamental enabler of smart cities. It connects physical devices to the internet, enabling real-time monitoring and control of urban infrastructure. This paper examines the architecture and applications of IoT in smart cities, emphasizing its potential to improve efficiency, sustainability, and quality of life.
IoT Architecture in Smart Cities
1. Sensing Layer
The sensing layer includes IoT devices such as sensors, actuators, and cameras that collect real-time data from the urban environment. For example:
• Environmental Sensors: Monitor air quality, temperature, and humidity.
• Traffic Sensors: Track vehicle movement and congestion.
• Smart Meters: Measure energy and water consumption.
2. Network Layer
The network layer transmits data collected by IoT devices to storage and processing units. Common technologies include:
• Wireless Networks: Wi-Fi, Zigbee, and LoRaWAN.
• Cellular Networks: 4G, 5G for high-speed communication.
3. Processing Layer
This layer involves cloud and edge computing systems that analyze data and provide actionable insights. Artificial intelligence (AI) and machine learning (ML) algorithms play a key role in:
• Predictive analytics for resource optimization.
• Anomaly detection in systems like energy grids and water supply.
4. Application Layer
The application layer delivers services to end-users, including residents, businesses, and city administrators. These services range from mobile apps for real-time traffic updates to dashboards for city-wide resource management.
Applications of IoT in Smart Cities
1. Smart Transportation
IoT enhances urban mobility by enabling:
• Traffic Management: Real-time traffic monitoring and adaptive signal systems to reduce congestion.
• Smart Parking: IoT sensors identify available parking spaces and guide drivers, saving time and reducing emissions.
• Public Transit Optimization: GPS-enabled buses and trains provide real-time tracking for passengers.
2. Energy Management
• Smart Grids: IoT integrates renewable energy sources, monitors consumption, and prevents outages.
• Energy-Efficient Buildings: IoT-enabled HVAC systems optimize energy usage based on occupancy and weather conditions.
3. Waste Management
• Smart Bins: IoT sensors monitor bin levels and optimize waste collection routes.
• Recycling Automation: IoT systems identify recyclable materials and automate sorting processes.
4. Healthcare
• Remote Monitoring: IoT devices track patient health metrics, reducing hospital visits.
• Emergency Response: Connected devices enable faster response times for medical emergencies. IoT-based smart city networks represent a transformative approach to urban development, addressing
critical challenges in transportation, energy, healthcare, and public safety. By integrating IoT with cloud computing and AI, cities can optimize resources, improve sustainability, and enhance the quality of life for residents. Despite challenges such as security concerns and high implementation costs, the future of IoT in smart cities is promising, driven by technological advancements and increasing urbanization. Список использованной литературы:
1. Zanella, A., Bui, N., Castellani, A., Vangelista, L., & Zorzi, M. (2014). "Internet of Things for smart cities." IEEE Internet of Things Journal.
2. Khan, R., Khan, S. U., Zaheer, R., & Khan, S. (2012). "Future Internet: The Internet of Things architecture, possible applications and key challenges." 10th International Conference on Frontiers of Information Technology.
© Atanazarov A., Gylyjov A., 2024
