A Novel Wireless Heterogeneous Data Mining (WHDM) Environment Based on Mobile Computing Environments

Abstract

Today the concept of Data Mining services is not alone sufficient. Data mining services play an important role in the field of Communication industry. Data mining is also called knowledge discovery in several database including mobile databases and for heterogeneous environment. In this paper, we propose a novel algorithm named Wireless Heterogeneous Data Mining (WHDM). The entire system architecture consists of three phases: 1) Reading the Database. 2) Stores the value in Tbuf with different patterns. 3) Add the superset in the list and remove the related subset from the list. Finally we find the frequent pattern patterns or knowledge from huge amount of data.We also analyze the better method or rule of data mining services which is more suitable for mobile devices. Our simulation result shows better performance and efficiency on different heterogeneous environment.

Improved APAC algorithm for minimizing delay in wireless sensor network with mobile sink

“…As per past research, moving sink is better compared to other. One single mobile sink (WSN-MS) provides an effective method to collect data [10][11][12][13][14][15][16]. In WSN-MS, all sensor nodes except mobile sink are stationary, and mobile sink can access sensor node's data by moving around them.…”