Adaptive and robust QoS in wireless-enabled sensing devices for Assisted Living

1. Adaptive and robust QoS in wireless-enabled sensing devices for Assisted Living Bach Bui, Marco Caccamo, Jennifer C. Hou, Lui Sha Department of Computer Science University of Illinois at Urbana Champaign

2. Why real-time QoS is important for Assisted Living? Real-time wireless-enabled vital sign meters for transporting measurements on a continuous basis. Real-time wireless channels for notifying on-site caregivers and/or designated relatives in the case of emergency situations.

3. Proposed Research by the UIUC Team Software safety, robustness and availability Management and control of dependency relations between software components Evolvability and interoperability Interface engineering Security and privacy Security for information storage and wireless communication facilities Role-based trust management: who can gain access to what information QoS provisioning Both system-wide QoS and wireless QoS for a wide variety of reminder, monitoring, localization, and time-critical emergency services

4. Proposed Research by the UIUC Team QoS provisioning Both system-wide QoS and wireless QoS for a wide variety of reminder, monitoring, localization, and time-critical emergency services

5. Example of an emergency situation Mary goes to her bedroom to take a nap. The floor is slippery because it was just washed. Nobody else is at home and she falls down injuring herself. A wearable sensing device equipped with microphone, sounder and accelerometer can autonomously detect this emergency and issue a real-time emergency message to on-site caregivers and designated relatives

6. Example of an emergency situation A wearable sensing device equipped with microphone, sounder and accelerometer can autonomously detect this emergency and issue a real-time emergency message to on-site caregivers and designated relatives: The sensing device is totally independent and does not need any activation, The sensing device can provide remote real-time monitoring of vital signs (e.g. heart rate) An audio channel can be established to immediately check the conditions of the patient or detect if he/she is unconscious. Robustness is achieved by deploying a small wireless sensor network in the house/yard to ensure redundant monitoring, robust message delivery/routing The sensor network would allow basic monitoring even in the case the elderly person forgot to carry the wearable sensor or the device failed.

8. ZigBee & IEEE 802.15.4

9. ZigBee & IEEE 802.15.4

10. IEEE 802.15.4 and QoS For low latency applications or applications requiring specific data bandwidth, the PAN coordinator may dedicate portions of the active superframe to that application. These portions are called guaranteed time slots (GTSs). It needs a network coordinator Synchronization is achieved by means of a beacon packet It works well for clustered star networks, but it does not scale well for multi-hop real-time packet delivery.

11. Multi-hop QoS extension for IEEE 802.15.4 For multi-hop real-time delivery, we are investigating how to offer a distributed access scheme that does not require clock synchronization and provides bounded delay (statistical or deterministic guarantee)

12. QoS extension for IEEE 802.15.4

13. QoS extension for IEEE 802.15.4 Summary of properties required by a QoS extension for wireless-enabled sensing devices in Assisted Living Robustness a single device failure should not affect the entire system reliable respect to human errors (the elderly might forget to wear the device, he/she will not reboot the system if it fails!) Multi-hop (each room of the house has a stationary sensor) Bounded message delivery (for remote real-time and interactive monitoring) Low power consumption (minimum mantainance, battery should last for months) Secure channel