Applications

1. Body Area Sensor Networks: Do you feel it?Pedro BrandãoSup.: Prof Jean Bacon – Opera Group – Computer Laboratory – University of Cambridge Sensors still in research Computer Laboratory What are the problems? BANs are currently application driven; A myriad of different applications; A myriad of different sensors in a BAN; Lack of an abstraction for apps; No framework to optimize resources for apps. • Aim • Define a middle layer that enables: • Sensor plug and play (self-configuring and capability advertisement); • Applications to discover “services” with specification of requirements; • Optimization of resources to fulfil requirements. • Myriad of Apps  MiddlewareMyriad of Sensors Applications • Real Time • Fidelity • Data Updates • Determinism requirements Middleware • Qos • Time Sync • Measurement • Nr. Measures metrics • Next Objectives: • Communication/architectural Models • What are req., metrics, resources? • Cost Function • Optimization Algo. • Advertisement/Discovery Protocol information control • Net. Architect. • Node’s Net interf. • Node’s processing • Sensor’s Measure Resources • “A tetraplegic patient controls a wheelchair in virtual reality“, Leeb et al • Brain Computer Interface, EEG • Blood pressure (intra-body) • BANs proj @CL: • Caregrid • Sesame • MESSAGE • Given Imaging – PillCam • Oesophagus video capturing Base Station (BS) • VivoMetrics – LifeShirt • ECG, breath rate, activity, posture • Closed Loop diabetes syst. • Glycaemia reading and insulin injector • “Radiotelemetry in a lab-in-a-pill format”, Johannessen, et al • pH and temp. real time measure in gastrointestinal tract • T-Cell count with position info. • Nike AirID • Rate of footsteps Microsoft Research Summer School 2007