Smart health monitoring system based on internet of things with big data analytics and wireless networks

Abstract

The use of mobile application technologies and smart devices in the health sector has improved a lot. In this sense health monitoring has evolved using Internet of Things. Nowadays the food habits are changed because of our machine life. This paper mainly focuses on the problems occurring related to health because of food habits. This paper gives the idea for solving this problem by collecting the attributes from the human body. The attributes like cholesterol, calories, glucose, pulse, weight, Body Mass Index, water level, temperature are to be collected from the person by fixing the wearable sensor devices in the human body. After getting these attributes the analysis should be done with the existing database for giving the food recommendations. The food intake level is analyzed for providing health factors. The aim of the paper is to provide the architecture for healthy food recommendations to the persons using sensor data to the person’s mobile application.

Big Data and IoT in Smart Transportation System

“…The Big data technology is applied for each minute data received through sensor for getting analytical data. Applied in traffic prediction system, Accident management system to find the accident-prone areas [6]. Also, nowadays it has been applied in smart health monitoring system also [7].…”

Resource Sharing and Allocation in Cloud Via Social Networks

“…Using this approach the social network users can download the resources via facebook application. For predicting the the relationship between the friends the recent technology called big data can be used based on the friends database which contains the attributes like chats and messages, items shared on the social network [10]. Based on the log analysis of social network the prediction of social network relationship may be possible[11].…”