Ant Colony Optimization Based Routing in IoT for Healthcare Services

IoT, the Internet of Things is today's most prevalent type of application area of internet. It is the network having various small networks connecting to the internet for remote sharing of services. The Internet of Things is not backing off, and the list of connected individuals, systems and things continues developing. In current research the IoT is being used for Health services data sharing. So that two remote hospitals can share the data with each other. For this they require the shortest path identification for efficient delivery of data. This shortest path can be determined best using ACO. It is based on numerous parameters like path length, path identification duration, and local efficient threshold. Previously reasearchers have used global efficiency factor F g’ for Link (L) at time T q for ant colony algorithm. Using ACO with enhanced parameters, the performance of the algorithm will be enhanced with respect to various parameters like Energy, Time, and Latency.