|Title:||Design and Evaluate a Multi-Radio Sensor Network|
|Subject:||Computer network engineering|
This thesis work is defined in the scope of the ESS-H research profile (Embedded Sensor Systems for Health Research Profile, http://www.es.mdh.se/projects/324-ESS_H) and ecare@home project (https://ecareathome.se/). These projects aim at providing remote health monitoring of patient through wireless medium.
Wireless Sensors Networks (WSNs) are considered as one of the key Internet of Things (IoT) technologies, and are widely used in various application areas such as environmental and structural monitoring systems, industrial automation, healthcare systems, traffic management and logistics, and public safety. An efficient IoT-enabled healthcare system aims to provide a remote health monitoring of a patient health status in real-time, the prevention of critical patient conditions, life quality improvement of the elderly through the smart environment, medical and drugs' database administration, and wellbeing services. The smart IoT sensors for healthcare enable accurately measuring, monitoring and analyzing a variety of vital health status indicators together with environmental parameters. Sensor readings are then collected and transferred to the end-devices or to a Cloud server.
The SensorTag device contains 10 low-power MEMS sensors in a small package. This device includes following sensors: light, digital microphone, magnetic sensor, humidity, pressure, accelerometer, gyroscope, magnetometer, object temperature, and ambient temperature. This multi-radio device supports both BLE and 802.15.4 radios. It is based on the CC2650 wireless MCU, offering 75% lower power consumption than typical Bluetooth low energy products. This allows the SensorTag to be battery powered, and offer years of battery lifetime from a single coin cell battery. This is the main benefit of SensorTag that makes it a potential candidate for IoT applications. This device has the possibility of running IoT technologies such as 6LoWPAN and 6TiSCH.
It is common to use physiological sensors for health monitoring. Studies have revealed that it is mandatory to consider both environmental sensors and physiological sensors. The problem is that there is no health monitoring system consisting of both environmental sensors and physiological sensors.
The main outcome of this Thesis is to connect Sensortags to the database, and visual the real-time data collection in a GUI. This Thesis will show the functionality of SensorTag mult-radio device in terms of packet reception ratio and RSSI fluctuation.
collect sensor parameters, RSSI, number of transmitted packets, and number of lost packets
show the results during run-time in a GUI
setup a repeatable testbed for experiments
study impact of mobility
study impact of interference
study impact of number of nodes
study impact of sampling frequency
|IDT supervisors:||Hossein Fotouhi|