Security and Power Consumption for Data Availability in Personalized Internet of Things with Cloud-based User Healthcare Applications

Abstract

Personalized Healthcare is a brand-new patient-centred healthcare strategy that seeks to enhance the current healthcare system. E-health services are provided via personalized healthcare systems to meet the medical and support needs of the aging population. A significant development in the Big Data age is the Internet of Things (IOT), which, through enhanced services, provides a number of good engineering scenarios. Healthcare systems are now using analytics over IOT data streams as a resource of user data to find additional information, forecast early diagnosis, and make decisions in life-threatening situations. The IOT design is examined in this book, with a focus on systems that are internet. Because factors like accuracy and power consumption are important IOT concerns, research initiatives that are involved in boosting the performance of IOT-based healthcare systems are examined. The IOT-based healthcare system with cloud technology is thoroughly studied in this paper's data management procedures. The effectiveness of the IOT-based healthcare system is described, along with its benefits and drawbacks. The majority of research studies are effective at identifying various symptoms and can correctly forecast diseases. The IOT-based healthcare system created specifically for seniors is an effective way to keep track of their medical conditions. The main drawbacks of the current systems are their high power consumption, lack of resources, and security problems brought on by the use of several devices.