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   a comprehensive survey of recent proposed content replacement strategies for cooperative edge caching in iot  
   
نویسنده majidi fariba
منبع majlesi journal of telecommunication devices - 2024 - دوره : 13 - شماره : 4 - صفحه:191 -197
چکیده    The internet of things significantly increases the number of terminals and network traffic load, while its real-time applications require minimal latency to access the requested contents from data centers. despite the processing and storage capabilities of base stations in 5g networks, the use of edge caching has proven to be an effective solution to reduce content access delay and repetitive traffic. this optimization of content transfer through the internet is crucial for maintaining the efficiency and performance of iot applications. however, several challenges must be addressed. the limited storage resources, the constant changes in network nodes, and the dynamic patterns of content requests and user behavior pose fundamental challenges to content placement strategies. developing an effective content placement strategy requires a comprehensive understanding of these factors and the ability to adapt to the evolving network environment.. in this paper, challenges and issues facing content placement strategies in cooperate edge caching are described and recent researches in this field are reviewed, categorized, and explained comprehensively.
کلیدواژه internet of things ,edge caching ,edge computing ,deep reinforcement learning ,federate learning
آدرس islamic azad university, isfahan (khorasgan) branch, department of computer engineering, iran. islamic azad university, mobarakeh branch, department of computer engineering, iran
پست الکترونیکی faribamajidi135@gmail.com; f.majidi@khuisf.ac.ir
 
   a comprehensive survey of recent proposed content replacement strategies for cooperative edge caching in iot  
   
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