DEVICE CLASSIFICATION IN ROBOT ASSISTED SURGERY: A REVIEW

Abstract

Internet of Things (IoT) domain gradually growing in information technology and telecommunications systems area considering its size and complexity. It is recognized as potential domain in IoT applications. New technologies need to anticipate this sharp increase in the number of varying smart devices. In current perspective, the IOT environment, which allows a huge network of things to communicate with each other, may face a number of technical and application problems, such as privacy concerns, security, sensor anonymity, decision support, a variety of device applications, and so on. In this review paper, goal is to study various frameworks for IoT device classification possible in Tele robotic surgery and summarizes the classification algorithm. Tele robotic surgery needs robust and beneficiary control techniques for providing efficient and precise alternative for medical surgeries. Time delays over network severely impact the stability in the surgery and eventually affect the performance of expert doctors. Also we analyze the problems encountered with the M2M connectivity of network devices.