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Internet of things (IoT) is a networking concept that allows connection of various smart devices. This concept plays a huge role in the healthcare industry. The developed system is a working prototype for realtime monitoring of patient falls and heart attacks. The process of developing this system included an architecture, which was built using Arduino UNO and Arduino NANO along with pulse sensors and accelerometer sensors. The main idea is to collect health-related data from time to time and the collected data is made available using a real-time interface called Thingspeak. With the help of this process, the person can be monitored from time to time without any hassle. The proposed system also makes use of delivering notifications at the time of emergency using the GSM technology, which is embedded with the Arduino architecture. This system will be of greater help to elderly people, people suffering from Frankenstein disease or people who are in a history of getting heart attacks due to genetic disorders.

Healthcare data protection is very much required in the present time due to the rate of growth in data volume and sensitivity of the data. The data is collected through EHR, diagnostic image like scan or x-ray or IoT wearable devices which has sensors and shared with stakeholders who can analyse the data and use it for betterment of the processes. Benefits of medical data sharing among the entities makes it even more vulnerable. In this paper we have studied and analysed few blockchain based methods of securing healthcare data which is stored in cloud. The methods studied is successful in keeping the data safe from unauthorized access.

This paper aims to explore Cloud simulation tools comprehensively. Specifically, it is to propose which simulator will fit in one's preferences since each simulator has its purpose. Gathering data from research papers along with the simulation processes of four cloud simulators provides a comprehensive approach for identifying the parameters in percentage, characteristics and important features of each cloud simulator. Utilizing cloud simulation tools during testing and modeling the real cloud datacenters provide a test environment which gives a repeatable and controllable environment promptly. The said tools offer the possibility to determine quickly whether the wise guess is true or false. Possibly, the stakeholder can map according to the algorithm used, and give various workloads, tasks, the number of hosts, and virtual machines. Also, the inexpensive way to study how the real cloud datacenters work brings more flexibility and scalability. Cloud simulation tools should be the primary instrument for any cloud computing testing, modeling, and technique.

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