دانلود رایگان مقاله انگلیسی بهره وری در یک الگوریتم تصمیم گیری ذخیره سازی شبکه برای اینترنت اشیا - وایلی 2018

Summary

Recently, content‐centric networking (CCN) has become one of the important technologies for enabling the future networks. Along with its recognized potentialities as a content retrieval and dissemination solution, CCN has been also recently considered as a promising architecture for the Internet of things (IoT), because of 2 main features such as named‐based routing and in‐network caching. However, IoT is characterized by challenging features: small storage capacity of resource‐constrained devices due to cost and limitation of energy and especially transient data that impose stringent requirements on the information freshness. As a consequence, the intrinsic caching mechanisms existing in CCN approach do not well suit IoT domains; hence, providing a specific caching policy atintermediate nodes is a very challenging task. This paper proposes an effective multiattribute in‐network caching decision algorithm that performs a caching strategy in CCN‐IoT network by considering a set of crucial attributes including the content store size, hop count, particularly key temporal properties like data freshness, and the node energy level. Simulation results proved that our proposed approach outperforms 2 cache management schemes (probabilistic least recently used and AlwaysCache–first in first out in terms of improving total hit rate, reducing data retrieval delay, and enhancing content reusability in IoT environment).

5 | CONCLUSION

In this paper, a novel efficient caching decision approach is proposed for IoT with CCN integration. In particular, this paper proposed the effectiveness of a caching approach by considering all the important attributes associated with their weights to select powerful nodes/devices for content storage. The content will be stored at the powerful nodes if higher freshness, a higher level of the node/device energy, larger CS size, and closer to the consumer are considered. The obtained results illustrate the remarkable effectiveness of the proposed approach in terms of improving total hit rate, reducing data retrieval delay, enhancing content reusability, and alleviate the load on the node/constrained devices in the IoT domain, which is very useful in the challenging IoT environment. As for future work, it is planned to extend the simulation scenario by considering mobile nodes and different content request in other applications. Additionally, we plan to precisely investigate the relative importance of attribute weights and expand the calculation of the weight vectors for each popular IoT application.