Data Mining Approaches for Correlation and Cache Replacement in Wireless Ad Hoc Networks
Sudha Rani Y J, Seetha M
Journal of Networking Technology, Vol. 11, No. 4, 2020.
DOI: https://doi.org/10.6025/jnt/2020/11/4/129-135
Link: http://www.dline.info/jnt/fulltext/v11n4/jntv11n4_3.pdf
Abstract:
Wireless Ad Hoc network is a collection of wireless nodes that are self-configured without fixed infrastructure. In such nodes caching is the mechanism that makes use of high speed memory known as cache memory. This memory holds frequently used data so as to reduce data transmission. It also leads to better data management. It is very useful especially in ad hoc networks that do not have fixed infrastructure. Many researchers contributed towards better data management through caching and cache replacement techniques. Base line algorithms like LRU and NRU need to be
improved for better performance. Data mining technique approaches like Association Rule Mining (ARM) can be used to have better performance in cache coordination and cache replacement. The FP-Growth algorithm is used for this purpose by some researchers. However, this algorithm consumes more resources. Therefore, a light weight algorithm for discovering association rules is needed. In this paper we used FIN ARM as part of our methodology for better data management and cache replacement. Our simulation study resulted in better performance when compared with LRU and FP-Growth algorithms.