An optimization of multihop data Aggregation for medical iot using Trust computation

Abstract

The Internet of Things (IoT) is composed of sensing devices that are subject to threats stemming from increasing reliance on communications technologies. IoT in healthcare is the key player in providing better medical facilities to the patients and facilitates the doctors and hospitals as well. The proposed system here consists of various medical devices such as sensors and web based or mobile based applications which communicate via network connected devices and helps to monitor and record patientsand#8223; health data and medical information. IoT is characterized by limited energy and distributed topology. In this scenario, a secure and energy-saving routing algorithm plays a significant role in ensuring the performance of IoT. The security data aggregation has a very important role to play in the reduction of data transmission and also in prolonging the Wireless Sensor Network (WSN) lifetime. At the time there is a threat to the security of the nodes, these networks may generate several data errors that may result in trouble to the security measure. Due to different standards and communication stacks, traditional security mechanisms heavily rely on trust management to function well. newlineAnalyzing architecture will be done by focusing on the issues addressing consumption of energy during the process of data collection which may be quite challenging owing to its mobility. Trust is that concept which is found to be very complicated and also influenced by certain properties both measurable and non-measurable. This is further connected to security since there is a major need to ensure the system and its security aside from user safety. newline