Edge Computing for Distributed IoT Data Management in Smart Cities
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Abstract
As urban areas expand and strive for sustainability, the integration of edge computing with IoT is becoming essential for creating smarter, more efficient city systems. IoT devices found in smart cities produce large volumes of data that necessitate swift processing for real-time applications such as energy management, transportation networks, and public safety initiatives. Edge computing fulfills this requirement by decentralizing the processing of data, positioning computation closer to the source of the data, which minimizes latency and reduces bandwidth consumption. This paper examines how edge computing can be utilized for distributed IoT data management, emphasizing its significance in improving the performance of urban infrastructure. Important topics covered include architectural frameworks, implementation strategies, and significant challenges like privacy, security, and scalability. By enhancing the efficiency and reliability of smart city applications, edge computing contributes to greater resilience by distributing processing capabilities throughout the network. Through the use of edge computing, cities can foster more adaptable, responsive, and secure environments, making the best use of resources while enhancing the living standards for their residents.
Keywords
Edge computing Smart cities Internet of Things Fog computingReferences (19)
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