Enhanced POC Tree-Based Algorithm for Data Item Correlation and Cache Effective Replacement in Mobile Ad Hoc Network
Y. J. Sudha Rani, M. Seetha
Journal of Networking Technology, Vol. 11, No. 3, 2020.
DOI: https://doi.org/10.6025/jnt/2020/11/3/81-92
Link: http://www.dline.info/jnt/fulltext/v11n3/jntv11n3_1.pdf
Abstract:
Minimizing delay and improving efficiency in content delivery is essential in resource hungry networks. Caching enables such networks like Mobile Ad Hoc Network (MANET) to have improved performance as cached data is shared with coordination. It also helps nodes to operate offline with the help of cached content besides promoting availability and accessibility. Caching is the process of storing repeatedly used data in a temporary memory thus avoiding unnecessary
processing which leads to waste of time and resources. However, it is crucial to know how data is to be cached, how long it has to be retained and when it has to be replaced with new content as it has finite size. Cache replacement is an important activity which needs intelligence for efficiency. In this paper we proposed an enhanced POC tree based algorithm for association rule mining. The association rules of the proposed algorithm provide significant heuristics to make cache replacement decisions besides achieving correlation of data items. This algorithm employs light-weight and scalable data structure known as Nodesets. We compared the proposed approach with existing algorithms. Our simulation results found the proposed method outperforms existing ones.