A novel cache discovery framework based on clusters and highest node density

ISSN: 22498958
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With the increasing popularity of MANETs, due to increase in mobility for communication, the application developers are building more and more complex applications for MANET. The recent advancements in mobility for communication has also discovered newer communication methods and network architectures such as Internet of Things. Nevertheless, due to the higher deployment and component costs of IoT, MANET is still a preferable architecture for many fields of utilizations. Also, in IoT, the security issues are higher compared with the MANETs as the incorporation of the smart devices can introduce the higher attention of the intruders into the networks. Henceforth, the preferable lower cost and higher utilization factors of MANETs are increasing the application developers focus on building complex applications, which demands higher specifications in the MANET devices. Agreeable Caching is a methodology that has been utilized broadly inside MANETs to address different execution and asset challenges. Connected appropriately, Helpful Caching can essentially lessen in general transfer speed use. Nonetheless, making the MANET devices with higher capabilities with more sophisticated hardware is always the bottleneck for building cost effective solutions. Hence, the MANET architects are focusing on building more capable architectures. The cooperative caching strategies can significantly increase the architectural capabilities. Several parallel research works have demonstrated cooperative caching mechanisms in the recent times. Regardless to mention, the parallel research outcomes are also highly criticized due to the fact higher complexity during cache discovery. The outcomes from these parallel researches have failed to justify the effect of dynamic clusters and the effect of node density during the discovery process. The proposed framework for cache discovery and cooperative caching replies on identification of the cluster heads with priority identification for determining the possible cooperativeness in the cache. Also, the proposed framework determines the best possible cooperative caching regions based on another novel method called density identification. Finally, the proposed method demonstrates 100% cache cooperation possibilities with 50% less time complexity.




Sudha Rani, Y. J., & Seetha, M. (2019). A novel cache discovery framework based on clusters and highest node density. International Journal of Engineering and Advanced Technology, 8(3), 593–604.

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