Current Volume 8
Edge Computing for IoT-Driven Smart Cities: Challenges and Opportunities in Real-time Data Processing
Abstract
The rapid proliferation of Internet of Things (IoT) devices has transformed urban environments, paving the way for smart cities that leverage real-time data processing to optimize services. However, the centralized nature of cloud computing struggles to meet the stringent requirements of latency, bandwidth efficiency, and security demanded by IoT applications. Edge computing has emerged as a pivotal solution, enabling localized data processing and fostering innovation in smart city infrastructures. This paper explores the challenges and opportunities of implementing edge computing for IoT-driven smart cities, focusing on real-time data processing. Key issues such as data volume, latency, security, and scalability are analyzed, alongside opportunities in traffic management, healthcare, energy optimization, and public safety. The study provides a comprehensive review of current practices, proposes solutions, and discusses future trends, including the integration of 5G and AI at the edge. Recommendations for addressing technical, operational, and strategic challenges are presented to guide stakeholders in building resilient, efficient, and secure IoT ecosystems for smart cities.
Citations
IRE Journals:
Gireesh Kambala
"Edge Computing for IoT-Driven Smart Cities: Challenges and Opportunities in Real-time Data Processing" Iconic Research And Engineering Journals Volume 8 Issue 4 2024 Page 744-760
IEEE:
Gireesh Kambala
"Edge Computing for IoT-Driven Smart Cities: Challenges and Opportunities in Real-time Data Processing" Iconic Research And Engineering Journals, 8(4)
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