일반 대학원 컴퓨터학과 김나리. 1. Body Area Network 2. BAN communication architecture 3. Physical layer 4. MAC layer 5. A taxonomy of body sensors projects 6. Open.

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Presentation transcript:

일반 대학원 컴퓨터학과 김나리

1. Body Area Network 2. BAN communication architecture 3. Physical layer 4. MAC layer 5. A taxonomy of body sensors projects 6. Open research issues 7. Conclusions 8. References

 BAN ◦ lightweight, small-size, ultra-low-power, and intelligent monitoring wearable sensors ◦ sensors continuously monitor human’s physiological activities and actions

 The differences between BAN and WSNs ◦ Deployment and Density  BAN nodes are placed strategically on the human body ◦ Data Rate  registering human’s physiological activities and actions ◦ Mobility  users may move around  Advantages by using BAN ◦ Flexibility  can be used to automatically monitor physiological readings ◦ Effectiveness and efficiency ◦ Cost-effective

 Applications ◦ several key applications will benefit from the advanced integration of BANs  Remote health/fitness monitoring  Military and sports training  Interactive gaming  Personal information sharing  Secure authentication

 A general architecture of a BAN-based health monitoring system ◦ Tier-1-Comm design (i.e., intra-BAN communications) ◦ Tier-2-Comm design (i.e., inter-BAN communications) ◦ Tier-3-Comm design (i.e., beyond-BAN communications)

 Intra-BAN communications ◦ Communications between body sensors ◦ Communications between body sensors and the portable PS

 Inter-BAN communications ◦ Communications between the PS and one or more access points (APs) ◦ Infrastructure based architecture ◦ Ad hoc based architecture

 Beyond-BAN communication ◦ Database ◦ Application-specific  Inter-BAN and Beyond-BAN communications ◦ A gateway device, such as a PDA

 Channel modeling ◦ Different frequency band suits different link types. ◦ Factors  Environment  Link Class  The user’s current activity  the propagation wave is more likely to diffract around the human body rather than to pass through it

 Support for protocol design ◦ requirements for the case of BANs  Seamless connectivity  To Mitigate interference issues  Power consumption

 Body sensors have a very limited battery  energy-efficient MAC protocols ◦ Cascading Information retrieval by ControllingAccess with Distributed slot Assignment (CICADA) ◦ Body sensor network MAC (BAN-MAC) ◦ H-MAC

 Remote health/fitness monitoring ◦ e-health concept has evolved from telehealth into a m-health paradigm, enabling long-term ambulatory monitoring, and point-of-care.  CodeBlue  AID-N  SMART  CareNet  ALARM-NET  Adaptive body posture analysis and cognitive injured body region detection for elderly-falling with multisensors  Military and sport traning ◦ Wii Sports, Nike+Ipod Sports Kit ◦ Sport training ◦ Military operations  BAN based intelligent system ◦ Intelligent biosensor system for vehicle-area-networks ◦ Pervasive healthcare and affective computing

 Communications and services ◦ Integrating emerging wireless technologies in Inter-BAN communication ◦ Enabling advanced E-healthcare services by using BANs  Sensor devices ◦ Advanced sensor devices ◦ Physical characteristics of sensor/actuator materials and electronic circuits  Physical layer ◦ Development and evaluation of improved propagation and channel models  MAC layer ◦ BAN MAC and QoS support ◦ Synchronization and calibration ◦ Multi-radio and multi-channel design  Other issues ◦ Power supply issues ◦ Security, authentication and privacy issues ◦ Standardization

 A promising technology which can revolutionize next generation healthcare and entertainment applications.  A new set of challenges in terms of scalability, energy efficiency, QoS, coexistence, interference mitigation, and security and privacy  Challenges : especially on high bandwidth and energy efficient communication protocols, interoperability between BANs and other wireless technologies, and the design of successful applications.

 Akyildiz IF, Su W, Sankarasubramaniam Y, Cayirci E(2002) Wireless sensor networks: a survey. Comput Networks  Arvind DK, Bates A (2008) The speckled golfer. In: Proceedings of BodyNets Tempe, USA  Baker CR, Armijo K, Belka S, Benhabib M, BhargavaV et al (2007) Wireless sensor networks for home health care. In: International conference on advanced information networking and applications workshops, AINAW’07,  Barth A, Wilson S, Hanson M, Powell H, Unluer D, LachJ (2008) Body-coupled communication for body sensor networks.  The 3rd international conference on body area networks(BodyNets). Tempe, Arizona  Cao H, Chow C, Chan H, Leung V (2009) Enabling technologies for wireless body area networks: a survey and outlook. IEEE Wirel Commun Mag 47(12)  Cao H, Gonzalez-Valenzuela S, Leung V (2010) Employing IEEE for quality of service provisioning in wireless body area sensor networks. In: Proc. IEEE advanced information networking and application, AINA Perth, Australia  Cobb W (1983) Recommendation for the practice of clinical neurophysiology. Elsevier, Amsterdam  Corchado J, Bajo J, Tapia D, Abraham A (2010) Using heterogeneous wireless sensor networks in a telemonitoring system for healthcare. IEEE Trans Inf Technol Biomed  Curtis D, Shih, E, Waterman J, Guttag J, Bailey J et al (2008)  Physiological signal monitoring in the waiting areas of an emergency room. In: Proceedings of BodyNets Tempe, Arizona, USA