Body Area Networks

A core activity of WiSAR is the research, development and application of low power wireless sensor networks for Body Area Networks that can be connected to sensors and actuators in the body, on the body, and off the body with research in novel antenna design and enabling low power routing protocols.  The very limited energy supply (usually from a battery) and this desire to maximise lifetime means that the hardware, software and in particular, the physical layer and data link layer protocols need to be as efficient as possible.

RF & Wireless Networks

Our research on wireless communications includes the advanced design of wireless circuits and subsystems and the use and exploitation of metamaterials in achieving practical communications at 5G frequencies and beyond, including next generation Terahertz communications networks.  Research areas include the application of Long Range Wide Area Networks, Software Defined Networks, Autonomous communications networks and using Game Theory for wireless applications.


We apply an array of IOT technologies to the area of Connected Health applied to Wearables in clinical and non-clinical environments and Assisted Living challenges.  We combine wearable technologies with Artificial Intelligence to improve monitoring accuracy and the interpretation of sensor data to determine patient activity throughout initial disease diagnosis and ongoing rehabilitation, with the potential to improve healthcare and service delivery.

Blockchain & Industry 4.0

The WiSAR research multidisciplinary research team works closely with industry to drive business readiness for Industry 4.0 by undertaking cutting-edge research on blockchain and other distributed technologies to grow our industry partner’s manufacturing research base. Research includes blockchain solutions for manufacturing Quality Assurance and Inventory Management; Hardware assisted blockchains; Exploiting the collaborative nature of mobile devices for contextualised information such as indoor location applications.

Machine Learning & Deep Learning

WiSAR brings together experts from across computer sciences to develop sophisticated AI driven solutions.  Current research themes include; Machine Learning, Deep Learning, Computer Vision and Pervasive Computing.  Machine Learning has been applied to multiple industrial projects to classify behaviour and to predict if a certain behaviour is likely to occur within a system.  This has included the use of sensors and computer vision techniques for object detection, object recognition, object tracking and signal recognition.  Pervasive Computing is being applied to the use of sensors, cameras and other devices to provide an accurate representation of the context in which the system exists.