Analysis of Patient Health Monitoring System Using Global System for Mobile communication (GSM) and Global Positioning System (GPS) and Comparing with Conventional System by Monitoring Pulse Rate and Body Temperature

Abstract

Aim: To enhance energy efficiency in data transfer using density based cluster algorithm and comparison with partition cluster algorithms. Materials and Methods: In Wireless Sensor Network the data transfer using density based cluster algorithm and partition algorithm has been implemented to find the accuracy rate of Energy Efficiency. The total samples(N=1251) are collected from a dataset and implemented through the NS2 simulation tool. Result: Accuracy of Density based Clustering (93.4%) and Partition algorithm (82.4%) with statistical significance (p=0.007) are achieved in the proposed system. Conclusion: The results proves that the Density based Cluster has better Energy Efficiency than Partition Cluster.