Energy efficient and Heterogeneous
(Implantable) Body Sensor Networks
Vignesh Raja Karuppiah Ramachandran, Nirvana Meratnia, Paul J.M. Havinga
Pervasive Systems Research Group, Department of Computer Science
University of Twente, The Netherlands
{v.r.karuppiahramachandran, n.meratnia, p.j.m.havinga}@utwente.nl
Sense physiological signals
Record
health status
Predict the onset of
seizure
Notify the patient
Start DBS
Alert doctor on
anomaly
Sense β Diagnose β Therapy
Optimization
Application
specific
requirements
Data
handling
and
processing
Wireless
communication
β’ In-body and
on-body channel
modelling
β’ Medium access
control protocol
Wireless
comm.
β’ Human activity
modelling
β’ Bio-inspired
synchronization
β’ On-node
bio-signal
processing
Data
handling
β’ Cross layer
optimization
β’ βEnergy β
Performanceβ
Trade-offs
β’ Closed-loop
operation
Optimize
Radio-channel Modelling
β’ ETSI TR 102 434 β MICS band (403 β 405 MHz)
β’ Highly dynamic
β’ High attenuation
β’ Low bandwidth
Wake-up radio
based MAC
ππππ ππ = ππππ ππ
0
+ 10ππππππππ10
ππ
ππ
0
+ ππ
π π
ππππ ππ
0
=
πΊπΊ
π
π
ππ
. ππ
ππ
π
π
Impact of Human activity on
RF Signal Strength
β’
Adaptive to dynamic RF channel
β’
Support heterogeneity
β’
Provide high QoS
β’
Ultra-low power consumption
β’
Compatible with IEEE 802.15.6
How can energy-efficiency, reliability and quality of
service, be ensured for wireless communication, within the
heterogeneous and dynamic implantable body sensor
networks.
List of publications
ο
This research is funded by STW Project - 12695
Human Activity
based MAC
