Exploiting Correlation among Data Items for Cache Replacement in Ad-hoc Networks

TL;DR

This paper introduces a new cache replacement method for ad-hoc networks that leverages data item correlations through association rule mining to improve cache efficiency.

Contribution

It presents a novel cache replacement technique that exploits correlations among data items using association rule mining, enhancing cache performance in ad-hoc networks.

Findings

Improved cache hit ratio in ad-hoc networks

Enhanced data retrieval efficiency

Reduced cache replacement overhead

Abstract

In this paper, we have proposed a novel technique for cache replacement in Ad-hoc Network based on the mining of Association Rules