title: Performance Evaluation of Wearable Sensor Systems: A Case Study in Moderate-Scale Deployment in Hospital Environment.
abstract: A wearable sensor system enables continuous and remote health monitoring and is widely considered as the next generation of healthcare technology. The performance, the packet error rate (PER) in particular, of a wearable sensor system may deteriorate due to a number of factors, particularly the interference from the other wearable sensor systems in the vicinity. We systematically evaluate the performance of the wearable sensor system in terms of PER in the presence of such interference in this paper. The factors that affect the performance of the wearable sensor system, such as density, traffic load, and transmission power in a realistic moderate-scale deployment case in hospital are all considered. Simulation results show that with 20% duty cycle, only 68.5% of data transmission can achieve the targeted reliability requirement (PER is less than 0.05) even in the off-peak period in hospital. We then suggest some interference mitigation schemes based on the performance evaluation results in the case study.
authors.affiliation: Department of Electrical and Computer Engineering, National University of Singapore, Singapore 119613, Singapore. sunwennus@gmail.com.
authors.forename: Wen
authors.initials: W
authors.lastname: Sun
authors.affiliation: Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore 138632, Singapore. geyu@i2r.a-star.edu.sg.
authors.forename: Yu
authors.initials: Y
authors.lastname: Ge
authors.affiliation: Department of Computing, Imperial College, London W120NN, UK. zhiqiang.snarc@gmail.com.
authors.forename: Zhiqiang
authors.initials: Z
authors.lastname: Zhang
authors.affiliation: Department of Electrical and Computer Engineering, National University of Singapore, Singapore 119613, Singapore. wong_lawrence@nus.edu.sg.
authors.forename: Wai-Choong
authors.initials: WC
authors.lastname: Wong
mesh_terms: D016477:Artifacts; D015374:Biosensing Techniques / Q000295:instrumentation*; D003195:Computer Communication Networks; D004777:Environment; D004867:Equipment Design; D006761:Hospitals; D006801:Humans; D063731:Mobile Applications; D018670:Monitoring, Ambulatory / Q000295:instrumentation*; D015203:Reproducibility of Results; D059629:Signal-To-Noise Ratio; D013686:Telemetry / Q000295:instrumentation*; D059015:Wireless Technology / Q000295:instrumentation
keywords: body sensor network; inter-user interference; interference mitigation; wearable sensor system