Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/3364
Title: Performance Study of IoT enabled Wireless Body Area Network in Contiki Platform
Authors: Mittal, Sumitt
Nagdeo, Sumit Kumar
Mahapatro, Judhistir
Keywords: Electrocardiograph (ECG)
Internet of Things (IoT)
Wireless Body Area Network (WBAN)
Issue Date: Oct-2019
Citation: Global Conference for Advancement in Technology (GCAT 2019) Bangalore, India, 18-20 October 2019.
Abstract: Internet of Things (IoT) [1] is defined as connecting and interacting with things using Internet. In the context of IoT enabled Wireless Body Area Network (WBAN), WBAN [2] is a wireless networking paradigm of wearable sensors which can be referred as things. The sensors collect patients’ vital sign parameters such as Electrocardiogram (ECG) and body temperature, and then send this vital information to Hub or Coordinator over wireless medium. In turn, the coordinator relays the information gathered from the sensors to the Border Router, and thereafter the information is posted on to the doctor’s console for monitoring and analyzing the patient data. In this paper, we study the performance of IoT enabled WBAN in Contiki platform using Cooja simulator. We used the metrics for performance study are Average Delay and Power Consumptions which is in terms of percentage of Radio Transmissions, Receptions and ON. Our study shows that the average delay taken to deliver a packet for highest priority sensors is near to 450 milliseconds, which is about 14% less delay as compared to the lowest priority sensors. Also, our study shows that the average power consumed by highest priority sensors is near to 4.1% which is about 3% more as compared to the lowest priority sensors. It has also been observed that around 50% more packets of the highest priority nodes are delivered as compared to the percentage of packets delivered by the lowest priority nodes.
Description: Copyright of this document belongs to proceedings publisher.
URI: http://hdl.handle.net/2080/3364
Appears in Collections:Conference Papers

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