Smart Healthcare Applications using Contiki and Cooja

The Internet of Things (IoT) is the most trending technology to influence the internet and communication technologies. Among several applications IoT, healthcare application plays a major role. Several emerging technologies related to IoT such as body sensor networks, advanced healthcare systems, cloud-based platforms for wireless transfer of data, storage and display of clinical data, etc. have contributed to the wide utilization of the technology in the field of medicines. A body sensor network scenario will be created with various body sensor nodes using 6LoWPAN and Rime protocol. Rime is a data collection protocol implemented using Contiki operating system.Contiki OS, a free open-source simulation tool, helps in analyzing the performance parameters of Wireless Personal Area Networks (WPAN). The Cooja simulator in Contiki OS simulates the network scenario and provides the means and tools to observe network behavior across many platforms and contexts. This paper presents work done on the analysis of the Rime protocol stack of the Wireless Sensor Networks(WSN). Various performance parameters of sensor nodes like light, temperature and blood glucose levels of body are measured using sensor nodes and also the position of neighboring nodes is measured and analyzed which helps to set up a more efficient Wireless Sensor Network. The proposed work focuses on the study of protocol standards in wireless mesh networks and the Performance are measured in case of mobility as well. Then by using Dijkstra's algorithm, the shortest path to reach the record maintainer is measured. The proposed work focuses on the analysis of protocol standards used to monitor patient information in the healthcare management system.