بهبود استراتژي نهان‌سازي تركيبي در شبكه‌هاي NDN-IoT با استفاده از محاسبات مه

Named data networking an‎d Internet of Things are new technologies that can meet the needs of the future Internet. NDN is proposed for the future Internet architecture as an alternative to traditional networks an‎d is considered as an enabling approach to improve data propagation in IoT scenarios. One of the most important features of the NDN is the in-network caching, which is an outstan‎ding feature compared to Internet Protocol-based communications because it reduces the content delivery time. The NDN, despite having the necessary capabilities to create an efficient network based on the needs The IOT is facing challenges. In the NDN, the memory of the router is limited, an‎d therefore the size of the nodeʹs content store is small; on the other han‎d,the volume of the IOT data that is being transferred is large, an‎d this data is transient, which can reduce the ratio of hits to the cache memory. Also, the processing power in current routers is limited; Sending data at the same time an‎d implementing the data selec‎tion an‎d prioritization mechanism in routers limits the decision-making speed for content placement. In this research, a hybrid hiding caching strategy is used for the efficient delivery of content. This strategy includes the mechanisms of content selec‎tion, content placement, an‎d content replacement. In the content selec‎tion mechanism, data is prioritized based on the two parameters of popularity an‎d freshness due to the limitations of The speed of decision-making in simultaneous data transmission an‎d caching in routers, fog computing is used as an intermediate layer between IoT devices an‎d the NDN to implement the content selec‎tion mechanism, so that it can solve the limitations of the decision-making speed an‎d improve the cache performance. The content placement mechanism tries to cache data based on the degree of centrality an‎d close to the end devices in order to improve the delay an‎d path stretch parameters; the content placement mechanism provides space for new an‎d more popular contents by dro‎pping less popular contents from the cache. The results extracted from the implementation of the proposed solution in the Icarus simulator, based on the considered parameters, have shown that the proposed method has been able to reduce the average delay parameters min %12 an‎d max %13.3, the cache hit ratio min %1.3 an‎d max %15.6 an‎d improve the average stretch ratio min %3.4 an‎d max %26.7 by compared to other methods.

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